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To this end, DataCite uses the object property `datacite:hasIdentifier`, which has as its object a member of the class `datacite:Identifier` or of one of its sub-classes (`datacite:ResourceIdentifier`, `datacite:AgentIdentifier` or `datacite:RightsIdentifier`). \nIn turn, `datacite:AgentIdentifier` is further sub-classed by three additional classes, i.e., `datacite:PersonalIdentifier`, `datacite:OrganizationIdentifier`, and `datacite:FunderIdentifier`. \nThe exact nature of the identifier is then defined using the second DataCite object property `datacite:usesIdentifierScheme`, which has as its object the class `datacite:IdentifierScheme` or one of its sub-classes: `datacite:ResourceIdentifierScheme`, `datacite:AgentIdentifierScheme` or `datacite:RightsIdentifierScheme`. `datacite:AgentIdentifierScheme` is further sub-classed by three additional classes, `datacite:PersonalIdentifierScheme`, `datacite:OrganizationIdentifierScheme`, and `datacite:FunderIdentifierScheme`.\nThis provides a robust method for defining identifiers, since each specific identifier is defined as an individual member of its appropriate identifier scheme class. Of course, existing identifier schemes have been already defined within the ontology. For instance:\n\n* `datacite:doi` is an individual member of the class `datacite:ResourceIdentifierScheme` specifying a DataCite Digital Object Identifier (DOI);\n* `datacite:orcid` is an individual member of the class `datacite:PersonalIdentifierScheme` specifying an Open Researcher and Contributor Identifier (ORCID);\n* `datacite:fundref` is an individual member of the class `datacite:FunderIdentifierScheme` specifying a FundRef Funder Identifier.\n\nAs need arises, new identifiers can be added later as new members of each class, without having to modify the structure of the DataCite Ontology. In addition, some members, `datacite:local-resource-identifier-scheme`, `datacite:local-personal-identifier-scheme`, `datacite:local-organization-identifier-scheme` and `datacite:local-funder-identifier-scheme`, have been already added to permit the use of local identifiers.\n\nThe class `datacite:DescriptionType`, and the object properties `datacite:hasDescription` and `datacite:hasDescriptionType`, have also been defined in order to link an entity to another item representing an entity description of a particular type. \nThis is defined using the property `datacite:hasDescriptionType`, which must have as its object one of the members of the class `datacite:DescriptionType`, `datacite:abstract`, `datacite:methods`, `datacite:other`, `datacite:series-information` and `datacite:table-of-content`. \nIn this way, it is possible to associate written documents (e.g. journal articles or data articles) as descriptions of datasets.\n\nIt is also possible to provide a link between a resource, such as a dataset, and the document describing its metadata by means of the _Citation Typing Ontology_ (CiTO), using the property `cito:citesAsMetadataDocument`, and the _FRBR-aligned Bibliographic Ontology_ (FaBiO), by means of the class `fabio:MetadataDocument`. \nIn addition to these entities, the DataCite Ontology provides appropriate classes (i.e., `datacite:MetadataScheme`) and properties (i.e., `datacite:hasMetadataScheme`) to specify the particular scheme followed for creating the resource metadata exemplified in the metadata document.\n\nFinally, with the DataCite Ontology, it is possible to represent situations where a given relation between two entities needs to be qualified in some way, e.g. with a description that specifies the nature of said relation.\nThis is provided by the class `datacite:QualifiedRelation`, which represents a certain relationship existing between two entities. \nThe qualified relation is linked with one entity (more specifically, the subject of the relation) via the object property `datacite:hasRelationSubject`, and with the other (the object of the relation) via the object property `datacite:hasRelationObject`.\nThe type of relation itself is defined via the property `datacite:hasRelationCharacterization`, which links a qualified relation to its characterization made by using an object property such as `dcterms:relation`, `cito:cites`, or `frbr:isPartOf`. \nThis usage involves [OWL2 punning](http://www.w3.org/TR/2009/WD-owl2-new-features-20090611/#F12:_Punning), a mechanism according to which an object property can be used as the object of an OWL assertion by being considered simultaneously both as a normal property and also as a named individual of the class `owl:Thing`.\n\n## Examples of use\n\nIn the following subsections, we introduce some examples to showcase how to use the DataCite Ontology. \n\nThe prefixes that are used in all the examples provided below are defined as follows:\n\n @prefix : <http://www.sparontologies.net/example/> .\n @prefix co: <http://purl.org/co/> .\n @prefix datacite: <http://purl.org/spar/datacite/> .\n @prefix dcterms: <http://purl.org/dc/terms/> .\n @prefix fabio: <http://purl.org/spar/fabio/> .\n @prefix foaf: <http://xmlns.com/foaf/0.1/> .\n @prefix literal: <http://www.essepuntato.it/2010/06/literalreification/> .\n @prefix orcid: <http://orcid.org/> .\n @prefix owl: <http://www.w3.org/2002/07/owl#> .\n @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .\n @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .\n @prefix skos: <http://www.w3.org/2004/02/skos/core#> .\n @prefix xsd: <http://www.w3.org/2001/XMLSchema#> .\n\n### Datasets' DOIs and authors' ORCIDs \n\nDataCite allows one to associate identifiers to a bibliographic entity (e.g., a dataset, a person, an article) specifying their exact nature by means of the object property `datacite:usesIdentifierScheme`. \nIn addition, it is also possible, through the object property `datacite:hasDescription`, to link an entity to another item representing an entity description of a particular type. \nThis is defined using the property `datacite:hasDescriptionType`, `datacite:series-information`, and `datacite:table-of-content`. \nIn this way, it is possible to associate written documents (e.g., journal articles) as descriptions of datasets.\n\n\n <http://dx.doi.org/10.5061/dryad.15v26> a fabio:Dataset ;\n datacite:hasIdentifier :dataset-doi ;\n dcterms:creator\n  orcid:0000-0002-5159-9717 ,\n  orcid:0000-0002-7811-3617 ;\n datacite:hasDescription\n  <http://dx.doi.org/10.1098/rsbl.2015.0486> .\n\n <http://dx.doi.org/10.1098/rsbl.2015.0486>\n a fabio:JournalArticle ;\n datacite:hasIdentifier :paper-doi ;\n dcterms:creator\n  orcid:0000-0002-5159-9717 ,\n  orcid:0000-0002-7811-3617 ;\n datacite:hasDescriptionType datacite:other .\n\n :paper-doi a datacite:PrimaryResourceIdentifier ;\n literal:hasLiteralValue \"10.1098/rsbl.2015.0486\" ;\n datacite:usesIdentifierScheme datacite:doi .\n\n :dataset-doi a datacite:PrimaryResourceIdentifier ;\n literal:hasLiteralValue \"10.5061/dryad.mq8r2\" ;\n datacite:usesIdentifierScheme datacite:doi .\n\n orcid:0000-0002-5159-9717 a foaf:Person ;\n foaf:name \"Nidhi Seethapathi\" ;\n datacite:hasIdentifier :seethapathi-orcid .\n\n :seethapathi-orcid a datacite:PersonalIdentifier ;\n literal:hasLiteralValue \"0000-0002-5159-9717\" ;\n datacite:usesIdentifierScheme datacite:orcid .\n\n orcid:0000-0002-7811-3617 a foaf:Person ;\n foaf:name \"Manoj Srinivasan\" ;\n datacite:hasIdentifier :srinivasan-orcid .\n\n :srinivasan-orcid a datacite:PersonalIdentifier ;\n literal:hasLiteralValue \"0000-0002-7811-3617\" ;\n datacite:usesIdentifierScheme datacite:orcid .\n\n\n### Competency Questions\n\nThe DataCite Ontology can be used for answering several questions related to related to the identification, attribution, and discoverability of research products within a scholarly knowledge graph. \nIn the following subsections, some of them are introduced together with their respective SPARQL queries. \n\nThe prefixes that are used in all the SPARQL queries provided below are defined as follows:\n\n PREFIX datacite: <http://purl.org/spar/datacite/>\n PREFIX dcterms: <http://purl.org/dc/terms/>\n PREFIX fabio: <http://purl.org/spar/fabio/>\n PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n PREFIX literal: <http://www.essepuntato.it/2010/06/literalreification/>\n\n#### CQ1\n\nWhich article provides the description for a specific dataset identified by the DOI \"10.5061/dryad.mq8r2\"?\n\n SELECT ?article ?article_doi\n WHERE {\n ?dataset_id literal:hasLiteralValue \"10.5061/dryad.mq8r2\" .\n ?dataset datacite:hasIdentifier ?dataset_id ;\n  a fabio:Dataset ;\n  datacite:hasDescription ?article .\n \n ?article datacite:hasIdentifier ?paper_id .\n ?paper_id literal:hasLiteralValue ?article_doi .\n }\n\n#### CQ2\n\nWho are the creators associated with both the dataset and the article?\n\n SELECT DISTINCT ?name ?orcid_uri\n WHERE {\n ?dataset a fabio:Dataset ;\n  dcterms:creator ?orcid_uri .\n \n ?article a fabio:JournalArticle ;\n  dcterms:creator ?orcid_uri .\n  \n ?orcid_uri foaf:name ?name .\n }\n\n#### CQ3\n\nWhat are the names and ORCID iDs of all researchers mentioned in the graph?\n\n SELECT ?name ?orcid_value\n WHERE {\n ?person a foaf:Person ;\n  foaf:name ?name ;\n  datacite:hasIdentifier ?id_node .\n \n ?id_node datacite:usesIdentifierScheme datacite:orcid ;\n  literal:hasLiteralValue ?orcid_value .\n }\n\n#### CQ4\n\nList all resources that have a description type categorized as \"other\".\n\n SELECT ?resource\n WHERE {\n ?resource datacite:hasDescriptionType datacite:other .\n }\n\n#### CQ5\n\nHow many identifiers are registered for each identifier scheme?\n\n SELECT ?scheme (COUNT(?id_node) AS ?count)\n WHERE {\n ?id_node datacite:usesIdentifierScheme ?scheme .\n }\n GROUP BY ?scheme","homepage":"http://www.sparontologies.net/ontologies/datacite","license":{"name":"CC-BY-4.0"},"name":"SPAR DataCite Ontology","prefix":"DATACITE","publications":[{"url":"http://dx.doi.org/10.6084/m9.figshare.2075356"}],"version":"1.3.1"},"ecoportal":null,"agroportal":null,"cropoct":null,"ols":null,"aberowl":{"artifacts":[{"type":"owl","url":"http://aber-owl.net/media/ontologies/DATACITE/4/datacite.owl"}],"description":"The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF., The DataCite Ontology is an ontology written in OWL 2 DL to enable the metadata properties of the [DataCite Metadata Kernel Specification version 3.1](https://www.datacite.org/sites/default/files/document/DataCite-MetadataSchema_V31_Final_8-24-2015_0.pdf) to be described in RDF.  This version of the DataCite Ontology has been completely revised and significantly expanded to permit accurate mapping of this new version of the DataCite Metadata Kernel Specification to RDF., http://purl.org/spar/datacite/datacite.png, ## Description The _DataCite Ontology_ (or simply DataCite) is an ontology written in OWL 2 DL to enable the metadata properties of the [DataCite Metadata Schema (version 4.7)](https://datacite-metadata-schema.readthedocs.io/en/4.7/) to be described in RDF.  ![A diagram of the DataCite Ontology.](datacite.png) The main intent of the DataCite Ontology is to provide a flexible mechanism to define identifiers for bibliographic resources (e.g., papers and datasets) and related entities (e.g., authors). To this end, DataCite uses the object property `datacite:hasIdentifier`, which has as its object a member of the class `datacite:Identifier` or of one of its sub-classes (`datacite:ResourceIdentifier`, `datacite:AgentIdentifier` or `datacite:RightsIdentifier`). In turn, `datacite:AgentIdentifier` is further sub-classed by three additional classes, i.e., `datacite:PersonalIdentifier`, `datacite:OrganizationIdentifier`, and `datacite:FunderIdentifier`. The exact nature of the identifier is then defined using the second DataCite object property `datacite:usesIdentifierScheme`, which has as its object the class `datacite:IdentifierScheme` or one of its sub-classes: `datacite:ResourceIdentifierScheme`, `datacite:AgentIdentifierScheme` or `datacite:RightsIdentifierScheme`. `datacite:AgentIdentifierScheme` is further sub-classed by three additional classes, `datacite:PersonalIdentifierScheme`, `datacite:OrganizationIdentifierScheme`, and `datacite:FunderIdentifierScheme`. This provides a robust method for defining identifiers, since each specific identifier is defined as an individual member of its appropriate identifier scheme class. Of course, existing identifier schemes have been already defined within the ontology. For instance: * `datacite:doi` is an individual member of the class `datacite:ResourceIdentifierScheme` specifying a DataCite Digital Object Identifier (DOI); * `datacite:orcid` is an individual member of the class `datacite:PersonalIdentifierScheme` specifying an Open Researcher and Contributor Identifier (ORCID); * `datacite:fundref` is an individual member of the class `datacite:FunderIdentifierScheme` specifying a FundRef Funder Identifier. As need arises, new identifiers can be added later as new members of each class, without having to modify the structure of the DataCite Ontology. In addition, some members, `datacite:local-resource-identifier-scheme`, `datacite:local-personal-identifier-scheme`, `datacite:local-organization-identifier-scheme` and `datacite:local-funder-identifier-scheme`, have been already added to permit the use of local identifiers. The class `datacite:DescriptionType`, and the object properties `datacite:hasDescription` and `datacite:hasDescriptionType`, have also been defined in order to link an entity to another item representing an entity description of a particular type. This is defined using the property `datacite:hasDescriptionType`, which must have as its object one of the members of the class `datacite:DescriptionType`, `datacite:abstract`, `datacite:methods`, `datacite:other`, `datacite:series-information` and `datacite:table-of-content`. In this way, it is possible to associate written documents (e.g. journal articles or data articles) as descriptions of datasets. It is also possible to provide a link between a resource, such as a dataset, and the document describing its metadata by means of the _Citation Typing Ontology_ (CiTO), using the property `cito:citesAsMetadataDocument`, and the _FRBR-aligned Bibliographic Ontology_ (FaBiO), by means of the class `fabio:MetadataDocument`. In addition to these entities, the DataCite Ontology provides appropriate classes (i.e., `datacite:MetadataScheme`) and properties (i.e., `datacite:hasMetadataScheme`) to specify the particular scheme followed for creating the resource metadata exemplified in the metadata document. Finally, with the DataCite Ontology, it is possible to represent situations where a given relation between two entities needs to be qualified in some way, e.g. with a description that specifies the nature of said relation. This is provided by the class `datacite:QualifiedRelation`, which represents a certain relationship existing between two entities. The qualified relation is linked with one entity (more specifically, the subject of the relation) via the object property `datacite:hasRelationSubject`, and with the other (the object of the relation) via the object property `datacite:hasRelationObject`. The type of relation itself is defined via the property `datacite:hasRelationCharacterization`, which links a qualified relation to its characterization made by using an object property such as `dcterms:relation`, `cito:cites`, or `frbr:isPartOf`. This usage involves [OWL2 punning](http://www.w3.org/TR/2009/WD-owl2-new-features-20090611/#F12:_Punning), a mechanism according to which an object property can be used as the object of an OWL assertion by being considered simultaneously both as a normal property and also as a named individual of the class `owl:Thing`. ## Examples of use In the following subsections, we introduce some examples to showcase how to use the DataCite Ontology.  The prefixes that are used in all the examples provided below are defined as follows:   @prefix : <http://www.sparontologies.net/example/> .   @prefix co: <http://purl.org/co/> .   @prefix datacite: <http://purl.org/spar/datacite/> .   @prefix dcterms: <http://purl.org/dc/terms/> .   @prefix fabio: <http://purl.org/spar/fabio/> .   @prefix foaf: <http://xmlns.com/foaf/0.1/> .   @prefix literal: <http://www.essepuntato.it/2010/06/literalreification/> .   @prefix orcid: <http://orcid.org/> .   @prefix owl: <http://www.w3.org/2002/07/owl#> .   @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .   @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .   @prefix skos: <http://www.w3.org/2004/02/skos/core#> .   @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . ### Datasets' DOIs and authors' ORCIDs  DataCite allows one to associate identifiers to a bibliographic entity (e.g., a dataset, a person, an article) specifying their exact nature by means of the object property `datacite:usesIdentifierScheme`. In addition, it is also possible, through the object property `datacite:hasDescription`, to link an entity to another item representing an entity description of a particular type. This is defined using the property `datacite:hasDescriptionType`, `datacite:series-information`, and `datacite:table-of-content`. In this way, it is possible to associate written documents (e.g., journal articles) as descriptions of datasets.    <http://dx.doi.org/10.5061/dryad.15v26> a fabio:Dataset ;     datacite:hasIdentifier :dataset-doi ;     dcterms:creator       orcid:0000-0002-5159-9717 ,       orcid:0000-0002-7811-3617 ;     datacite:hasDescription       <http://dx.doi.org/10.1098/rsbl.2015.0486> .   <http://dx.doi.org/10.1098/rsbl.2015.0486>     a fabio:JournalArticle ;     datacite:hasIdentifier :paper-doi ;     dcterms:creator       orcid:0000-0002-5159-9717 ,       orcid:0000-0002-7811-3617 ;     datacite:hasDescriptionType datacite:other .   :paper-doi a datacite:PrimaryResourceIdentifier ;     literal:hasLiteralValue \"10.1098/rsbl.2015.0486\" ;     datacite:usesIdentifierScheme datacite:doi .   :dataset-doi a datacite:PrimaryResourceIdentifier ;     literal:hasLiteralValue \"10.5061/dryad.mq8r2\" ;     datacite:usesIdentifierScheme datacite:doi .   orcid:0000-0002-5159-9717 a foaf:Person ;     foaf:name \"Nidhi Seethapathi\" ;     datacite:hasIdentifier :seethapathi-orcid .   :seethapathi-orcid a datacite:PersonalIdentifier ;     literal:hasLiteralValue \"0000-0002-5159-9717\" ;     datacite:usesIdentifierScheme datacite:orcid .   orcid:0000-0002-7811-3617 a foaf:Person ;     foaf:name \"Manoj Srinivasan\" ;     datacite:hasIdentifier :srinivasan-orcid .   :srinivasan-orcid a datacite:PersonalIdentifier ;     literal:hasLiteralValue \"0000-0002-7811-3617\" ;     datacite:usesIdentifierScheme datacite:orcid .  ### Competency Questions The DataCite Ontology can be used for answering several questions related to related to the identification, attribution, and discoverability of research products within a scholarly knowledge graph. In the following subsections, some of them are introduced together with their respective SPARQL queries.  The prefixes that are used in all the SPARQL queries provided below are defined as follows:   PREFIX datacite: <http://purl.org/spar/datacite/>   PREFIX dcterms: <http://purl.org/dc/terms/>   PREFIX fabio: <http://purl.org/spar/fabio/>   PREFIX foaf: <http://xmlns.com/foaf/0.1/>   PREFIX literal: <http://www.essepuntato.it/2010/06/literalreification/> #### CQ1 Which article provides the description for a specific dataset identified by the DOI \"10.5061/dryad.mq8r2\"?   SELECT ?article ?article_doi   WHERE {     ?dataset_id literal:hasLiteralValue \"10.5061/dryad.mq8r2\" .     ?dataset datacite:hasIdentifier ?dataset_id ;       a fabio:Dataset ;       datacite:hasDescription ?article .         ?article datacite:hasIdentifier ?paper_id .     ?paper_id literal:hasLiteralValue ?article_doi .   } #### CQ2 Who are the creators associated with both the dataset and the article?   SELECT DISTINCT ?name ?orcid_uri   WHERE {     ?dataset a fabio:Dataset ;         dcterms:creator ?orcid_uri .         ?article a fabio:JournalArticle ;         dcterms:creator ?orcid_uri .             ?orcid_uri foaf:name ?name .   } #### CQ3 What are the names and ORCID iDs of all researchers mentioned in the graph?   SELECT ?name ?orcid_value   WHERE {     ?person a foaf:Person ;         foaf:name ?name ;         datacite:hasIdentifier ?id_node .         ?id_node datacite:usesIdentifierScheme datacite:orcid ;         literal:hasLiteralValue ?orcid_value .   } #### CQ4 List all resources that have a description type categorized as \"other\".   SELECT ?resource   WHERE {     ?resource datacite:hasDescriptionType datacite:other .   } #### CQ5 How many identifiers are registered for each identifier scheme?   SELECT ?scheme (COUNT(?id_node) AS ?count)   WHERE {     ?id_node datacite:usesIdentifierScheme ?scheme .   }   GROUP BY ?scheme","homepage":"http://www.sparontologies.net/ontologies/datacite","name":"SPAR DataCite Ontology","prefix":"DATACITE","version":"1.3.1"},"ncbi":null,"uniprot":null,"biolink":null,"cellosaurus":null,"ontobee":null,"cheminf":null,"fairsharing":{"contact":{"email":"silvio.peroni@unibo.it","name":"Silvio Peroni","orcid":"0000-0003-0530-4305"},"description":"The DataCite Ontology (DataCite) is an ontology that enables the metadata properties of the DataCite Metadata Schema Specification (i.e., a list of metadata properties for the accurate and consistent identification of a resource for citation and retrieval purposes) to be described in RDF.","homepage":"http://www.sparontologies.net/ontologies/datacite","keywords":["Subject Agnostic"],"license":{"name":"CC-BY-4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"name":"DataCite Ontology ","prefix":"FAIRsharing.c06f1e","repository":"https://github.com/sparontologies/datacite","short_names":["DataCite"]},"biocontext":null,"edam":null,"re3data":null,"hl7":null,"bartoc":{"description":"The DataCite Ontology is an ontology written in OWL 2 DL to enable the metadata properties of the [DataCite Metadata Kernel Specification version 3.1](https://www.datacite.org/sites/default/files/document/DataCite-MetadataSchema_V31_Final_8-24-2015_0.pdf) to be described in RDF. This version of the DataCite Ontology has been completely revised and significantly expanded to permit accurate mapping of this new version of the DataCite Metadata Kernel Specification to RDF.","homepage":"http://purl.org/spar/datacite","license":{"spdx":"CC-BY-4.0","url":"http://creativecommons.org/licenses/by/4.0/"},"name":"The DataCite Ontology","prefix":"17907","short_names":["datacite"],"uri_format":"http://purl.org/spar/datacite/$1"},"rrid":null,"lov":null,"zazuko":null,"togoid":null,"integbio":null,"pathguide":null,"tib":{"description":"\n## Description\n\nThe _DataCite Ontology_ (or simply DataCite) is an ontology written in OWL 2 DL to enable the metadata properties of the [DataCite Metadata Schema (version 4.7)](https://datacite-metadata-schema.readthedocs.io/en/4.7/) to be described in RDF. \n\n![A diagram of the DataCite Ontology.](datacite.png)\n\nThe main intent of the DataCite Ontology is to provide a flexible mechanism to define identifiers for bibliographic resources (e.g., papers and datasets) and related entities (e.g., authors). To this end, DataCite uses the object property `datacite:hasIdentifier`, which has as its object a member of the class `datacite:Identifier` or of one of its sub-classes (`datacite:ResourceIdentifier`, `datacite:AgentIdentifier` or `datacite:RightsIdentifier`). \nIn turn, `datacite:AgentIdentifier` is further sub-classed by three additional classes, i.e., `datacite:PersonalIdentifier`, `datacite:OrganizationIdentifier`, and `datacite:FunderIdentifier`. \nThe exact nature of the identifier is then defined using the second DataCite object property `datacite:usesIdentifierScheme`, which has as its object the class `datacite:IdentifierScheme` or one of its sub-classes: `datacite:ResourceIdentifierScheme`, `datacite:AgentIdentifierScheme` or `datacite:RightsIdentifierScheme`. `datacite:AgentIdentifierScheme` is further sub-classed by three additional classes, i.e., `datacite:PersonalIdentifierScheme`, `datacite:OrganizationIdentifierScheme`, and `datacite:FunderIdentifierScheme`.\nThis provides a robust method for defining identifiers, since each specific identifier is defined as an individual member of its appropriate identifier scheme class. Of course, existing identifier schemes have been already defined within the ontology. For instance:\n\n* `datacite:doi` is an individual member of the class `datacite:ResourceIdentifierScheme` specifying a DataCite Digital Object Identifier (DOI);\n* `datacite:orcid` is an individual member of the class `datacite:PersonalIdentifierScheme` specifying an Open Researcher and Contributor Identifier (ORCID);\n* `datacite:fundref` is an individual member of the class `datacite:FunderIdentifierScheme` specifying a FundRef Funder Identifier.\n\nAs need arises, new identifiers can be added later as new members of each class, without having to modify the structure of the DataCite Ontology. In addition, some members, i.e., `datacite:local-resource-identifier-scheme`, `datacite:local-personal-identifier-scheme`, `datacite:local-organization-identifier-scheme` and `datacite:local-funder-identifier-scheme`, have been already added to permit the use of local identifiers.\n\nThe class `datacite:DescriptionType`, and the object properties `datacite:hasDescription` and `datacite:hasDescriptionType`, have also been defined in order to link an entity to another item representing an entity description of a particular type. \nThis is defined using the property `datacite:hasDescriptionType`, which must have as its object one of the members of the class `datacite:DescriptionType`, i.e., `datacite:abstract`, `datacite:methods`, `datacite:other`, `datacite:series-information` and `datacite:table-of-content`. \nIn this way, it is possible to associate written documents (e.g. journal articles or data articles) as descriptions of datasets.\n\nIt is also possible to provide a link between a resource, such as a dataset, and the document describing its metadata by means of the _Citation Typing Ontology_ (CiTO), using the property `cito:citesAsMetadataDocument`, and the _FRBR-aligned Bibliographic Ontology_ (FaBiO), by means of the class `fabio:MetadataDocument`. \nIn addition to these entities, the DataCite Ontology provides appropriate classes (i.e., `datacite:MetadataScheme`) and properties (i.e., `datacite:hasMetadataScheme`) to specify the particular scheme followed for creating the resource metadata exemplified in the metadata document.\n\nFinally, with the DataCite Ontology, it is possible to represent situations where a given relation between two entities needs to be qualified in some way, e.g. with a description that specifies the nature of said relation.\nThis is provided by the class `datacite:QualifiedRelation`, which represents a certain relationship existing between two entities. \nThe qualified relation is linked with one entity (more specifically, the subject of the relation) via the object property `datacite:hasRelationSubject`, and with the other (the object of the relation) via the object property `datacite:hasRelationObject`.\nThe type of relation itself is defined via the property `datacite:hasRelationCharacterization`, which links a qualified relation to its characterization made by using an object property such as `dcterms:relation`, `cito:cites`, or `frbr:isPartOf`. \nThis usage involves [OWL2 punning](http://www.w3.org/TR/2009/WD-owl2-new-features-20090611/#F12:_Punning), a mechanism according to which an object property can be used as the object of an OWL assertion by being considered simultaneously both as a normal property and also as a named individual of the class `owl:Thing`.\n\n## Examples of use\n\nIn the following subsections, we introduce some examples to showcase how to use the DataCite Ontology. \n\nThe prefixes that are used in all the examples provided below are defined as follows:\n\n    @prefix : <http://www.sparontologies.net/example/> .\n    @prefix co: <http://purl.org/co/> .\n    @prefix datacite: <http://purl.org/spar/datacite/> .\n    @prefix dcterms: <http://purl.org/dc/terms/> .\n    @prefix fabio: <http://purl.org/spar/fabio/> .\n    @prefix foaf: <http://xmlns.com/foaf/0.1/> .\n    @prefix literal: <http://www.essepuntato.it/2010/06/literalreification/> .\n    @prefix orcid: <http://orcid.org/> .\n    @prefix owl: <http://www.w3.org/2002/07/owl#> .\n    @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .\n    @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .\n    @prefix skos: <http://www.w3.org/2004/02/skos/core#> .\n    @prefix xsd: <http://www.w3.org/2001/XMLSchema#> .\n\n### Datasets' DOIs and authors' ORCIDs \n\nDataCite allows one to associate identifiers to a bibliographic entity (e.g., a dataset, a person, an article) specifying their exact nature by means of the object property `datacite:usesIdentifierScheme`. \nIn addition, it is also possible, through the object property `datacite:hasDescription`, to link an entity to another item representing an entity description of a particular type. \nThis is defined using the property `datacite:hasDescriptionType`, which must have as its object one of the members of the class `datacite:DescriptionType`, i.e., `datacite:abstract`, `datacite:other`, `datacite:series-information`, `datacite:methods`, and `datacite:table-of-content`. \nIn this way, it is possible to associate written documents (e.g., journal articles) as descriptions of datasets.\n\n\n    <http://dx.doi.org/10.5061/dryad.15v26> a fabio:Dataset ;\n        datacite:hasIdentifier :dataset-doi ;\n        dcterms:creator\n            orcid:0000-0002-5159-9717 ,\n            orcid:0000-0002-7811-3617 ;\n        datacite:hasDescription\n            <http://dx.doi.org/10.1098/rsbl.2015.0486> .\n\n    <http://dx.doi.org/10.1098/rsbl.2015.0486>\n        a fabio:JournalArticle ;\n        datacite:hasIdentifier :paper-doi ;\n        dcterms:creator\n            orcid:0000-0002-5159-9717 ,\n            orcid:0000-0002-7811-3617 ;\n        datacite:hasDescriptionType datacite:other .\n\n    :paper-doi a datacite:PrimaryResourceIdentifier ;\n        literal:hasLiteralValue \"10.1098/rsbl.2015.0486\" ;\n        datacite:usesIdentifierScheme datacite:doi .\n\n    :dataset-doi a datacite:PrimaryResourceIdentifier ;\n        literal:hasLiteralValue \"10.5061/dryad.mq8r2\" ;\n        datacite:usesIdentifierScheme datacite:doi .\n\n    orcid:0000-0002-5159-9717 a foaf:Person ;\n        foaf:name \"Nidhi Seethapathi\" ;\n        datacite:hasIdentifier :seethapathi-orcid .\n\n    :seethapathi-orcid a datacite:PersonalIdentifier ;\n        literal:hasLiteralValue \"0000-0002-5159-9717\" ;\n        datacite:usesIdentifierScheme datacite:orcid .\n\n    orcid:0000-0002-7811-3617 a foaf:Person ;\n        foaf:name \"Manoj Srinivasan\" ;\n        datacite:hasIdentifier :srinivasan-orcid .\n\n    :srinivasan-orcid a datacite:PersonalIdentifier ;\n        literal:hasLiteralValue \"0000-0002-7811-3617\" ;\n        datacite:usesIdentifierScheme datacite:orcid .\n\n\n### Competency Questions\n\nThe DataCite Ontology can be used for answering several questions related to related to the identification, attribution, and discoverability of research products within a scholarly knowledge graph. \nIn the following subsections, some of them are introduced together with their respective SPARQL queries. \n\nThe prefixes that are used in all the SPARQL queries provided below are defined as follows:\n\n    PREFIX datacite: <http://purl.org/spar/datacite/>\n    PREFIX dcterms: <http://purl.org/dc/terms/>\n    PREFIX fabio: <http://purl.org/spar/fabio/>\n    PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n    PREFIX literal: <http://www.essepuntato.it/2010/06/literalreification/>\n\n#### CQ1\n\nWhich article provides the description for a specific dataset identified by the DOI \"10.5061/dryad.mq8r2\"?\n\n    SELECT ?article ?article_doi\n    WHERE {\n        ?dataset_id literal:hasLiteralValue \"10.5061/dryad.mq8r2\" .\n        ?dataset datacite:hasIdentifier ?dataset_id ;\n            a fabio:Dataset ;\n            datacite:hasDescription ?article .\n        \n        ?article datacite:hasIdentifier ?paper_id .\n        ?paper_id literal:hasLiteralValue ?article_doi .\n    }\n\n#### CQ2\n\nWho are the creators associated with both the dataset and the article?\n\n    SELECT DISTINCT ?name ?orcid_uri\n    WHERE {\n        ?dataset a fabio:Dataset ;\n                dcterms:creator ?orcid_uri .\n        \n        ?article a fabio:JournalArticle ;\n                dcterms:creator ?orcid_uri .\n                \n        ?orcid_uri foaf:name ?name .\n    }\n\n#### CQ3\n\nWhat are the names and ORCID iDs of all researchers mentioned in the graph?\n\n    SELECT ?name ?orcid_value\n    WHERE {\n        ?person a foaf:Person ;\n                foaf:name ?name ;\n                datacite:hasIdentifier 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Please note that this version of the specification for the Dublin Core Element Set 1.1 is somewhat out of date, although it is not officially deprecated. The DCMI Metadata Terms specification is linked to this record and is the current documentation that should be used for the Dublin Core Element Set 1.1. 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Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation., DCAT è un vocabolario RDF progettato per facilitare l'interoperabilità tra i cataloghi di dati pubblicati nel Web. Utilizzando DCAT per descrivere i dataset nei cataloghi di dati, i fornitori migliorano la capacità di individuazione dei dati e abilitano le applicazioni al consumo di dati provenienti da cataloghi differenti. DCAT permette di decentralizzare la pubblicazione di cataloghi e facilita la ricerca federata dei dataset. L'aggregazione dei metadati federati può fungere da file manifesto per facilitare la conservazione digitale. DCAT è definito all'indirizzo http://www.w3.org/TR/vocab-dcat/. Qualsiasi scostamento tra tale definizione normativa e questo schema è da considerarsi un errore di questo schema., DCAT es un vocabulario RDF diseñado para facilitar la interoperabilidad entre catálogos de datos publicados en la Web. Utilizando DCAT para describir datos disponibles en catálogos se aumenta la posibilidad de que sean descubiertos y se permite que las aplicaciones consuman fácilmente los metadatos de varios catálogos., هي أنطولوجية تسهل تبادل البيانات بين مختلف الفهارس على الوب. استخدام هذه الأنطولوجية يساعد على اكتشاف قوائم البيانات المنشورة على الوب و يمكن التطبيقات المختلفة من الاستفادة أتوماتيكيا من البيانات المتاحة من مختلف الفهارس., publishers increase discoverability and enable applications easily to consume metadata from multiple catalogs. It further enables decentralized publishing of catalogs and facilitates federated dataset search across sites. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation. DCAT is defined at http://www.w3.org/TR/vocab-dcat/. Any variance between that normative document and this schema is an error in this schema., DCAT est un vocabulaire développé pour faciliter l'interopérabilité entre les jeux de données publiées sur le Web. En utilisant DCAT pour décrire les jeux de données dans les catalogues de données, les fournisseurs de données facilitent leur découverte et permettent que les applications consomment facilement les métadonnées de plusieurs catalogues. Il permet de plus la publication décentralisée des catalogues et facilite la recherche fédérée des données entre plusieurs sites. Les métadonnées DCAT aggrégées peuvent servir comme un manifeste pour faciliter la préservation digitale des ressources. DCAT est définie à l'adresse http://www.w3.org/TR/vocab-dcat/. Toute différence entre ce document normatif et le présent vocabulaire est une erreur dans le vocabulaire., DCATは、ウェブ上で公開されたデータ・カタログ間の相互運用性の促進を目的とするRDFの語彙です。このドキュメントでは、その利用のために、スキーマを定義し、例を提供します。データ・カタログ内のデータセットを記述するためにDCATを用いると、公開者が、発見可能性を増加させ、アプリケーションが複数のカタログのメタデータを容易に利用できるようになります。さらに、カタログの分散公開を可能にし、複数のサイトにまたがるデータセットの統合検索を促進します。集約されたDCATメタデータは、ディジタル保存を促進するためのマニフェスト・ファイルとして使用できます。, DCAT je RDF slovník navržený pro zprostředkování interoperability mezi datovými katalogy publikovanými na Webu. Poskytovatelé dat používáním slovníku DCAT pro popis datových sad v datových katalozích zvyšují jejich dohledatelnost a umožňují aplikacím konzumovat metadata z více katalogů. Dále je umožňena decentralizovaná publikace katalogů a federované dotazování na datové sady napříč katalogy. Agregovaná DCAT metadata mohou také sloužit jako průvodka umožňující digitální uchování informace. DCAT je definován na http://www.w3.org/TR/vocab-dcat/. Jakýkoliv nesoulad mezi odkazovaným dokumentem a tímto schématem je chybou v tomto schématu., Το DCAT είναι ένα RDF λεξιλόγιο που σχεδιάσθηκε για να κάνει εφικτή τη διαλειτουργικότητα μεταξύ καταλόγων δεδομένων στον Παγκόσμιο Ιστό. Χρησιμοποιώντας το DCAT για την περιγραφή συνόλων δεδομένων, οι εκδότες αυτών αυξάνουν την ανακαλυψιμότητα και επιτρέπουν στις εφαρμογές την εύκολη κατανάλωση μεταδεδομένων από πολλαπλούς καταλόγους. Επιπλέον, δίνει τη δυνατότητα για αποκεντρωμένη έκδοση και διάθεση καταλόγων και επιτρέπει δυνατότητες ενοποιημένης αναζήτησης μεταξύ διαφορετικών πηγών. Συγκεντρωτικά μεταδεδομένα που έχουν περιγραφεί με το DCAT μπορούν να χρησιμοποιηθούν σαν ένα δηλωτικό αρχείο (manifest file) ώστε να διευκολύνουν την ψηφιακή συντήρηση., DCAT er et RDF-vokabular som har til formål at understøtte interoperabilitet mellem datakataloger udgivet på nettet. 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FaBiO entities are primarily textual publications such as books, magazines, newspapers and journals, and items of their content such as poems, conference papers and editorials. However, they also include blogs, web pages, datasets, computer algorithms, experimental protocols, formal specifications and vocabularies, legal records, governmental papers, technical and commercial reports and similar publications, and also anthologies, catalogues and similar collections. FaBiO classes are structured according to the FRBR schema of Works, Expressions, Manifestations and Items. Additional properties have been added to extends the FRBR data model by linking Works and Manifestations (fabio:hasManifestation and fabio:isManifestationOf), Works and Items (fabio:hasPortrayal and fabio:isPortrayedBy), and Expressions and Items (fabio:hasRepresentation and fabio:isRepresentedBy)., conference papers and editorials. However, catalogues and similar collections. \n\nFaBiO classes are structured according to the FRBR schema of Works, http://purl.org/spar/fabio/FRBR%20diagram%20with%20new%20Fabio%20verbs.png, \n## Description\n\nThe _FRBR-aligned Bibliographic Ontology_ (_FaBiO_) is an ontology for recording and publishing on the Semantic Web descriptions of entities that are published or potentially publishable, or entities used to define such bibliographic references. \nFaBiO entities are primarily textual publications such as books, conference papers and editorials. \nHowever, catalogues and similar collections.\n\nFaBiO already imports several entities from existing standards for bibliographic entity descriptions, i.e., FRBR, DC Terms, PRISM and SKOS. \nIn addition, FaBiO has been developed so to limit any restriction to its classes as well as the domains and ranges of its properties. \nThis flexibility has the great advantage of allowing FaBiO to be used together with other models.\n\nIn particular, FaBiO classes are structured according to the FRBR schema of Works, Manifestations and Items. \nThe following Graffoo diagram shows additional properties that have been added to extends the FRBR data model by linking Works and Manifestations (`fabio:hasManifestation` and `fabio:isManifestationOf`), Works and Items (`fabio:hasPortrayal` and `fabio:isPortrayedBy`), and Expressions and Items (`fabio:hasRepresentation` and `fabio:isRepresentedBy`).\n\n![A diagram of FaBiO.](fabio.png)\n\nWith FaBiO, it thus becomes possible:\n\n* to write semantic descriptions of a wide variety of bibliographic objects, including conference papers (`fabio:ConferencePaper`), journal articles (`fabio:JournalArticle`), journal issues and volumes (`fabio:JournalIssue` and `fabio:JournalVolume`), using terms that closely resemble the language used in everyday speech by academics and publishers;\n* to employ FRBR categories (i.e., `fabio:Work`, `fabio:Expression`, `fabio:Manifestation` and `fabio:Item`, all subclasses of the related FRBR classes) to define clear separations between each part of the publishing process, which involves different people (authors, publishers, readers), depending on which aspect of the bibliographic entity we are considering: the high-level conceptualisation of the research paper, the version of record of that paper forming a journal article, the publication of the article in various formats, and the individual physical or electronic exemplars of the published article that people may read and own;\n* to include with ease elements from other vocabularies which describe particular entities involved in the publishing process that are not specified by FaBiO itself, such as those from FOAF for persons and organisations.\n\n## Examples of use\n\nIn the following subsections, we introduce some examples to showcase how to use FaBiO. \n\nThe prefixes that are used in all the examples provided below are defined as follows:\n\n @prefix : <http://www.sparontologies.net/example/> .\n @prefix application: <http://purl.org/NET/mediatypes/application/> .\n @prefix co: <http://purl.org/co/> .\n @prefix dbpedia: <http://dbpedia.org/resource/> .\n @prefix dcterms: <http://purl.org/dc/terms/> .\n @prefix fabio: <http://purl.org/spar/fabio/> .\n @prefix facet: <http://link.springer.com/facet/> .\n @prefix foaf: <http://xmlns.com/foaf/0.1/> .\n @prefix frbr: <http://purl.org/vocab/frbr/core#> .\n @prefix prism: <http://prismstandard.org/namespaces/basic/2.0/> .\n @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .\n @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .\n @prefix skos: <http://www.w3.org/2004/02/skos/core#> .\n @prefix xsd: <http://www.w3.org/2001/XMLSchema#> .\n\n### Describing a bibliographic entity\n\nFaBiO allows one to describe information related to a bibliographic entity such as the following one:\n\n* Pompeu Casanovas, Núria Casellas, Christoph Tempich, Denny Vrandečić, Richard Benjamins (2007). OPJK and DILIGENT: ontology modeling in a distributed environment. Artificial Intelligence and Law, 15 (2): 171-186. June 2007. Springer. DOI: 10.1007/s10506-007-9036-2. Print ISSN 0924-8463. Online ISSN 1572-8382. Published online (PDF) May 31, 2007.\n\nFrom the previous reference we can extract the following information:\n\n1. the document is an academic research article – deducible from the journal in which it is published;\n2. Pompeu Casanovas, and Richard Benjamins are the authors of the article;\n3. the article was published in 2007;\n4. the article is titled `OPJK and DILIGENT: ontology modeling in a distributed environment`;\n5. it was published in the 2nd issue of the 15th volume of Artificial Intelligence and Law;\n6. the DOI of the article is `10.1007/s10506-007-9036-2`;\n7. the Print ISSN of the journal is `0924-8463`;\n8. the Online ISSN of the journal is `1572-8382`;\n9. the PDF version of the article was published online on May 31, 2007;\n10. the journal issue within which the printed version of the article was published bears the publication date June 2007;\n11. the page range of the article within the printed version is `171-186`;\n12. the publisher of the journal is Springer.\n\nBy using FaBiO entities, which also include part of the FRBR, DC Terms and PRISM vocabularies, it is possible to create a full description of all the aspects introduced by the aforementioned twelve points.\n\n :opjk-and-diligent a fabio:ResearchPaper ;\n dcterms:creator :casanovas , :casellas,\n  :tempich, :vrandecic, :benjamins ;\n frbr:realization :version-of-record .\n\n :version-of-record a fabio:JournalArticle ;\n dcterms:title 'OPJK and DILIGENT: ontology\n  modeling in a distributed environment' ;\n fabio:hasPublicationYear '2007'^^xsd:gYear ;\n prism:doi '10.1007/s10506-007-9036-2' ;\n frbr:embodiment :printed , :pdf ;\n frbr:partOf :ai-and-law-15-2 .\n\n :ai-and-law-15-2 a fabio:JournalIssue ;\n prism:issueIdentifier '2' ;\n frbr:embodiment :printed-issue ;\n frbr:partOf :ai-and-law-15 .\n\n :ai-and-law-15 a fabio:JournalVolume ;\n prism:volume '15' ;\n frbr:partOf :ai-and-law .\n\n :ai-and-law a fabio:Journal ;\n dcterms:title 'Artificial Intelligence and Law' .\n\n :printed-issue a fabio:Paperback ;\n dcterms:publisher :springer ;\n prism:publicationDate '2007-06'^^xsd:gYearMonth ;\n frbr:part :printed .\n\n :printed a fabio:PrintObject ;\n dcterms:publisher :springer ;\n prism:publicationDate '2007-06'^^xsd:gYearMonth ;\n prism:startingPage '171' ;\n prism:endingPage '186' .\n\n :pdf a fabio:DigitalManifestation ;\n dcterms:publisher :springer ;\n dcterms:format application:pdf ;\n prism:publicationDate '2007-05-31'^^xsd:date .\n\n :casanovas a foaf:Person ;\n foaf:givenName 'Pompeu' ;\n foaf:familyName 'Casanovas' .\n\n :casellas a foaf:Person ;\n foaf:givenName 'Nuria' ;\n foaf:familyName 'Casellas' .\n\n :tempich a foaf:Person ;\n foaf:givenName 'Christoph' ;\n foaf:familyName 'Tempich' .\n\n :vrandecic a foaf:Person ;\n foaf:givenName 'Denny' ;\n foaf:familyName 'Vrandečić' .\n\n :benjamins a foaf:Person ;\n foaf:givenName 'Richard' ;\n foaf:familyName 'Benjamins' .\n\n :springer a foaf:Organization ;\n foaf:name 'Springer' .\n\n### Specifying ordered lists of authors\n\nSometimes, it is important to keep track of the actual order the authors of a paper as they appear in the author list. \nThe usual approach is to use RDF collections for handling it. \nHowever, this choice can have several drawbacks, first of all that it is not a fully OWL 2 DL compliant way of modelling ordered items – and this could result in having reasoners running with unexpected behaviour or not running at all.\n\nEven if FaBiO does not handle author ordering directly, it is possible to use it in combination with other pure OWL 2 DL compliant ontologies, such as the Collections Ontology (CO) – that is fully described in the paper 'The Collections Ontology: creating and handling collections in OWL 2 DL frameworks' by Ciccarese and Peroni – which was specifically designed for defining orders among items. \nThis ontology allows us to link a co:List of authors through the dcterms:creator property.\n\n :opjk-and-diligent a fabio:ResearchPaper ;\n dcterms:creator :author-list .\n\n :author-list a co:List , foaf:Group ;\n co:firstItem :author-item-1 ;\n co:item\n  :author-item-1 ,\n  :author-item-2 ,\n  :author-item-3 ,\n  :author-item-4 ,\n  :author-item-5 ;\n co:lastItem :author-item-5 ;\n co:size '5'^^xsd:nonNegativeInteger .\n\n :author-item-1 a co:ListItem ;\n co:index '1'^^xsd:positiveInteger ;\n co:itemContent :casanovas ;\n co:nextItem :author-item-2 .\n\n :author-item-2 a co:ListItem ;\n co:index '2'^^xsd:positiveInteger ;\n co:itemContent :casellas ;\n co:nextItem :author-item-3 .\n\n :author-item-3 a co:ListItem ;\n co:index '3'^^xsd:positiveInteger ;\n co:itemContent :tempich ;\n co:nextItem :author-item-4 .\n\n :author-item-4 a co:ListItem ;\n co:index '4'^^xsd:positiveInteger ;\n co:itemContent :vrandecic ;\n co:nextItem :author-item-5 .\n\n :author-item-5 a co:ListItem ;\n co:index '5'^^xsd:positiveInteger ;\n co:itemContent :benjamins .\n\n :casanovas a foaf:Person ;\n foaf:givenName 'Pompeu' ;\n foaf:familyName 'Casanovas' .\n\n :casellas a foaf:Person ;\n foaf:givenName 'Nuria' ;\n foaf:familyName 'Casellas' .\n\n :tempich a foaf:Person ;\n foaf:givenName 'Christoph' ;\n foaf:familyName 'Tempich' .\n\n :vrandecic a foaf:Person ;\n foaf:givenName 'Denny' ;\n foaf:familyName 'Vrandečić' .\n\n :benjamins a foaf:Person ;\n foaf:givenName 'Richard' ;\n foaf:familyName 'Benjamins' .\n\n### Associating keywords, subject terms and disciplines to a paper\n\nOne of the most important needs for a publisher is to categorise each bibliographic entity it produces by adding free-text keywords and/or specific terms structured according to recognised classification systems and/or thesauri developed for specific academic disciplines. \nWhile through FaBiO the definition of keywords is possible using the PRISM property `prism:keyword`, terms from thesauri, structured vocabularies and classification systems are described using SKOS.\n\nTo this end, FaBiO extends some classes and properties of SKOS. \nFirst of all any FRBR endeavour can be associated (`fabio:hasSubjectTerm`) with one or more descriptive terms (`fabio:SubjectTerm`, a sub-class of `skos:Concept`) found in a specific dictionary (`fabio:TermDictionary`, a sub-class of `skos:ConceptScheme`) that is relevant to (`fabio:hasDiscipline`) particular disciplines (`fabio:SubjectDiscipline`, also a sub-class of `skos:Concept`) describing a field of knowledge or human activity such as computer science, biology, economics, cookery or swimming. \nAt the same time, the subject disciplines can be grouped by an opportune vocabulary (i.e., `fabio:DisciplineDictionary`).\n\n :opjk-and-diligent a fabio:ResearchPaper ;\n fabio:hasSubjectTerm\n  facet:air-and-space-law ,\n  facet:computational-linguistics ,\n  facet:philosophy-of-law ,\n  facet:legal-aspects-of-computing ,\n  facet:artificial-intelligence-incl-robotics ;\n prism:keywords\n  'legal ontologies' ,\n  'methodology' ,\n  'ontology modeling' ,\n  'professional knowledge' ,\n  'rhetorical structure theory' .\n\n <http://link.springer.com/facet> a fabio:TermDictionary ;\n skos:prefLabel 'Facet dictionary used in Springer library' ;\n fabio:hasDiscipline\n  dbpedia:Computer_science ,\n  dbpedia:Law .\n\n facet:air-and-space-law a fabio:SubjectTerm ;\n skos:prefLabel 'Air and Space Law' ;\n skos:inScheme <http://link.springer.com/facet> .\n\n facet:computational-linguistics a fabio:SubjectTerm ;\n skos:prefLabel 'Computational Linguistics' ;\n skos:inScheme <http://link.springer.com/facet> .\n\n facet:philosophy-of-law a fabio:SubjectTerm ;\n skos:prefLabel 'Philosophy of Law' ;\n skos:inScheme <http://link.springer.com/facet> .\n\n facet:legal-aspects-of-computing a fabio:SubjectTerm ;\n skos:prefLabel 'Legal Aspects of Computing' ;\n skos:inScheme <http://link.springer.com/facet> .\n\n facet:artificial-intelligence-incl-robotics a fabio:SubjectTerm ;\n skos:prefLabel 'Artificial Intelligence (incl. Robotics)' ;\n skos:inScheme <http://link.springer.com/facet> .\n\n## Competency Questions\n\nFaBiO can be used for answering several questions related to bibliographic objects and other entities involved in the publishing process.\n\nIn the following subsections, some of them are introduced together with their respective SPARQL queries. \n\nThe prefixes that are used in all the SPARQL queries provided below are defined as follows:\n\n PREFIX dcterms: <http://purl.org/dc/terms/>\n PREFIX fabio: <http://purl.org/spar/fabio/>\n PREFIX foaf: <http://xmlns.com/foaf/0.1/>\n PREFIX frbr: <http://purl.org/vocab/frbr/core#>\n PREFIX prism: <http://prismstandard.org/namespaces/basic/2.0/>\n PREFIX skos: <http://www.w3.org/2004/02/skos/core#>\n\n### CQ1\n\nWhat are the titles and publication years of all available journal articles?\n\n SELECT ?title ?year\n WHERE {\n ?article a fabio:JournalArticle ;\n  dcterms:title ?title ;\n  fabio:hasPublicationYear ?year .\n }\n\n### CQ2\n\nWho are the authors (first and last names) of the article with the DOI '10.1007/s10506-007-9036-2'?\n\n SELECT ?givenName ?familyName\n WHERE {\n ?article a fabio:JournalArticle ;\n  prism:doi '10.1007/s10506-007-9036-2' .\n \n ?paper a fabio:ResearchPaper ;\n  frbr:realization ?article ;\n  dcterms:creator ?author .\n \n ?author foaf:givenName ?givenName ;\n  foaf:familyName ?familyName .\n }\n\n### CQ3\n\nIn which journal, volume, and issue was the article with the DOI '10.1007/s10506-007-9036-2'?\n\n SELECT ?journalTitle ?volume ?issue\n WHERE {\n ?article a fabio:JournalArticle ;\n  prism:doi '10.1007/s10506-007-9036-2' ;\n  frbr:partOf ?journalIssue .\n \n ?journalIssue a fabio:JournalIssue ;\n  prism:issueIdentifier ?issue ;\n  frbr:partOf ?journalVolume .\n \n ?journalVolume a fabio:JournalVolume ;\n  prism:volume ?volume ;\n  frbr:partOf ?journal .\n \n ?journal a fabio:Journal ;\n  dcterms:title ?journalTitle .\n }\n\n### CQ4\n\nWhat are the keywords associated with the article with the DOI '10.1007/s10506-007-9036-2'?\n\n SELECT ?keyword\n WHERE {\n ?article a fabio:JournalArticle ;\n  prism:doi '10.1007/s10506-007-9036-2' .\n \n ?paper a fabio:ResearchPaper ;\n  prism:keywords ?keyword .\n }\n\n### CQ5\n\nWhat are the preferred labels of all subject terms assigned to the article with the DOI '10.1007/s10506-007-9036-2'?\n\n SELECT ?keyword\n WHERE {\n ?article a fabio:JournalArticle ;\n  prism:doi '10.1007/s10506-007-9036-2' .\n \n ?paper a fabio:ResearchPaper ;\n  fabio:hasSubjectTerm ?subjectTerm .\n\n ?subjectTerm a fabio:SubjectTerm ;\n  skos:prefLabel ?subjectLabel .\n }\n\n, http://purl.org/spar/fabio/fabio.png","homepage":"http://www.sparontologies.net/ontologies/fabio","license":{"name":"CC-BY-4.0"},"name":"FRBR-aligned Bibliographic Ontology","prefix":"FABIO","publications":[{"url":"http://speroni.web.cs.unibo.it/publications/peroni-2012-fabio-cito-ontologies.pdf"}],"version":"2.3"},"agroportal":null,"cropoct":null,"ols":null,"aberowl":{"artifacts":[{"type":"owl","url":"http://aber-owl.net/media/ontologies/FaBiO/1/fabio.owl"}],"description":"This file is imported by the vivo-core-public-1.5.owl file. 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 FIESTA-IoT ontology takes inspiration from the well-known Noy et al. methodology  for reusing and interconnecting existing ontologies. To build the ontology, we leverage a number of core concepts from various mainstream ontologies and taxonomies, such as Semantic Sensor Network (SSN), M3-lite (a lite version of M3 ontology), WGS84, IoT-lite, Time, and DUL ontology.","homepage":"http://purl.org/iot/ontology/fiesta-iot","keywords":["IoT"],"name":"FIESTA-IoT Ontology","prefix":"fiesta-iot","uri_format":"http://purl.org/iot/ontology/fiesta-iot#$1"},"zazuko":null,"togoid":null,"integbio":null,"pathguide":null,"tib":{"artifacts":[{"type":"owl","url":"https://raw.githubusercontent.com/fiesta-iot/ontology/master/fiesta-iot.owl"}],"description":"Many testbeds owning devices or applications interacting with the sensors, store their inherent observations and other related data in their own proprietary format. In other words, making a testbed independent and isolated from others that cannot directly interact with each other. Differences in the data format lead to interoperability issues between the testbeds and much work has to be done in order to ensure the compatibility. One has to understand different data formats and create the mapping between them. As a result, a testbed must understand other testbed's format and create the mapping both while sending and receiving information. One method to accomplish interoperability is through the usage of semantic-based technologies to annotate all the information shared by the platforms. Nevertheless, some of the relevant existing ontologies promise interoperability but: \n\n- do not address the problem to describe the observation in an interoperable manner to ease further tasks, such as reasoning, \n- many of them are domain-specific and cannot be applied across domains, \n- they have missing concepts and do not suffice the needs of the measurements provided by the sensors, and \n- many ontologies do not follow best practices making it hard to correctly interpret and reuse concepts.\n\n\nIn order to address the above-mentioned limitations, we provide FIESTA-IoT ontology (a unified semantic model) that follows best practices. FIESTA-IoT Ontology is a merge of concepts from various ontologies such as IoT-lite, M3-lite Taxonomy, SSN, Time and DUL (see Figure 1). The FIESTA-IoT Ontology is divided into 2 parts: resource description and observations produced. One has to follow the Figure 2 and Figure 3, respectively, for understanding what all concepts are associated with resource description and observation. Using such information testbeds can annotate their data to FIESTA-IoT specific requirements and the annotators developed can achieve FIESTA-IoT certification. For reference we provide sample annotations as figure (see Figure 4 and Figure 5) for both resource graph and observation graph.\n\nFor more details please see:\n\n- R. Agarwal, D. Fernandez, T. Elsaleh, A. Gyrard, J. Lanza, L. Sanchez, N. Georgantas, V. Issarny, \"Unified IoT Ontology to Enable Interoperability and Federation of Testbeds\", 3rd IEEE WF-IoT, Reston, VA, USA, 12-14 December 2016. (https://hal.inria.fr/hal-01386917/document)\n- FIESTA-IoT Consortium (R. Agarwal editor), \"Deliverable D3.1.2 Semantic Models for Testbeds, Interoperability and Mobility Support, and Best Practices\", project FIESTA-IoT deliverable, 2016.\n- FIESTA-IoT Consortium (R. 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English Heritage takes a leading role in setting standards for recording the built and buried heritage. By setting standards that can be adopted by everyone, we can make sure that all records are consistent. In other words, if everyone uses the same words to describe the same monument, archaeological object, building material, etc, then anyone using this common language can easily index, retrieve and understand these records. With this aim in mind, English Heritage is continually developing new thesauri to provide structure and guidelines for the standardisation of terms to be used when creating new records of the past. Now, in our drive to disseminate these standards and promote their wider use, we are making available seven separate online thesauri. A tailor-made suite of programs has been developed, which uses a database to create a series of web pages for any chosen thesaurus. These can be easily accessed using a frames-capable browser and regularly updated as new terms are submitted and approved by our Data Standards Unit.\n\nNational cultural heritage thesauri and vocabularies have acted as standards for use by both national organizations and local authority Historic Environment Records but until now have lacked the persistent Linked Open Data (LOD) URIs that would allow them to act as vocabulary hubs for the Web of Data. The AHRC funded SENESCHAL project aims to make such vocabularies available online as Semantic Web resources. SENESCHAL will start with major vocabularies as exemplars and project partners will continue to make other vocabularies available. Other organizations are welcome to make use of the data and services which will be open licensed.\n\nRESTful web services will be developed for the project to make the vocabulary resources programmatically accessible and searchable. 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English Heritage takes a leading role in setting standards for recording the built and buried heritage. By setting standards that can be adopted by everyone, we can make sure that all records are consistent. In other words, if everyone uses the same words to describe the same monument, archaeological object, building material, etc, then anyone using this common language can easily index, retrieve and understand these records. With this aim in mind, English Heritage is continually developing new thesauri to provide structure and guidelines for the standardisation of terms to be used when creating new records of the past. Now, in our drive to disseminate these standards and promote their wider use, we are making available seven separate online thesauri. A tailor-made suite of programs has been developed, which uses a database to create a series of web pages for any chosen thesaurus. These can be easily accessed using a frames-capable browser and regularly updated as new terms are submitted and approved by our Data Standards Unit.\n\nNational cultural heritage thesauri and vocabularies have acted as standards for use by both national organizations and local authority Historic Environment Records but until now have lacked the persistent Linked Open Data (LOD) URIs that would allow them to act as vocabulary hubs for the Web of Data. The AHRC funded SENESCHAL project aims to make such vocabularies available online as Semantic Web resources. SENESCHAL will start with major vocabularies as exemplars and project partners will continue to make other vocabularies available. Other organizations are welcome to make use of the data and services which will be open licensed.\n\nRESTful web services will be developed for the project to make the vocabulary resources programmatically accessible and searchable. 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href=\"http://purl.obolibrary.org/obo/iao/dev/ontology-metadata.owl\">http://purl.obolibrary.org/obo/iao/dev/iao.owl</a><p> <b>Dated versions</b> <ul> <li><a href=\"http://purl.obolibrary.org/obo/iao/2009-11-06/iao.owl\">http://purl.obolibrary.org/obo/iao/2009-11-06/iao.owl</a> <li><a href=\"http://purl.obolibrary.org/obo/iao/2010-09-14/iao.owl\">http://purl.obolibrary.org/obo/iao/2010-09-14/iao.owl</a> <li><a href=\"http://purl.obolibrary.org/obo/iao/2010-10-26/iao.owl\">http://purl.obolibrary.org/obo/iao/2010-10-26/iao.owl</a> <li><a href=\"http://purl.obolibrary.org/obo/iao/2011-05-09/iao.owl\">http://purl.obolibrary.org/obo/iao/2011-05-09/iao.owl</a> <li><a href=\"http://purl.obolibrary.org/obo/iao/2015-02-23/iao.owl\">http://purl.obolibrary.org/obo/iao/2015-02-23/iao.owl</a> </ul><p> <p>Please note: The ontology metrics displayed by BioPortal do not distinguish IAO-developed terms from terms imported from other ontologies. <p><b>Tracker</b>: <a 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