This vocabulary is an expression in RDF of the concepts and relations described in the IFLA report on the Functional Requirements for Bibliographic Records (FRBR).

This vocabulary is a work in progress, it includes RDF classes for the group 1, 2 and 3 entities described by the FRBR report and properties corresponding to the core relationships between those entities. It does not yet describe attributes of the entities. Where possible, appropriate relationships with other vocabularies are included in order to place this vocabulary in the context of existing RDF work.

Version: 2005-08-10

The Collection Description Accrual Method Vocabulary provides a set of terms that can be used as values of the dct:accrualPolicy property in descriptions of collections. It has been developed in association with the Dublin Core Collections Application Profile (DC Collections AP) but this vocabulary is independent of that profile and the terms defined here may be referenced in other metadata descriptions and used as the values of other properties.

In statements in DC metadata descriptions, the URIs of the individual terms may be used as value URIs and/or the labels of the terms may be used as value strings.

Version: 1.0.0

This pattern can be used to represent an agent that is acting in order to forward the action of a social (non-physical) agent.

An ontology designer is able to express relations like delegation, working for, etc. It is not possible to express either time indexing (the situation pattern should be specialized to that purpose), nor the role or task, under which the social action is carried out by the physical agent (the description & situation pattern should be used instead).

Version: 1.0.0

This is a draft RDF vocabulary for representing spatial data sets in INSPIRE as RDF. This vocabulary has been created using the “Guidelines for the RDF encoding of spatial data”.

The use of RDF is optional and does not supersede or replace the requirements regarding encoding specified in Clause 9 of the INSPIRE Data Specifications. This optional encoding is intended to support the e-government and open data community in Europe, which is increasingly looking at RDF to represent data.

This is a draft version. It has limitations and is expected to contain errors. Please report any issues or concerns in GitHub.

This ontology contains classes and properties that have been derived from the INSPIRE Addresses application schema.

During the derivation, the following mappings, alignments, and omissions have been applied:

  • Mappings:

    • Code list values are mapped to skos:Concept.
    • The properties beginLifespanVersion, endLifespanVersion, validFrom, and validTo are mapped to the global properties defined by the base ontology.
    • Geometry types are mapped to classes from the Simple Feature ontology.
  • Alignments (through subsumption):

    • Spatial object types are aligned with gsp:Feature.
    • Type Address is aligned with locn:Address.
    • Type ThoroughfareNameValue is aligned with gn:GeographicalName
    • Properties of spatial object types with value type GeographicalName are aligned to property locn:geographicName.
    • Properties with a geometry value type are aligned to locn:geometry and gsp:hasDefaultGeometry.
  • Omissions:

    • Property inspireId is omitted. See the guidelines for further details.
    • Property ThoroughfareNameValue.name is omitted.
    • Type AddressRepresentation is omitted. Whenever this type is used as value type, then in the RDF encoding the RDF implementation of type Address is used. For further details, see the guidelines.
  • Restructuring:

    • Property GeographicPosition.default is transformed into a new property defaultPosition on class Address.

Version: 1.0.0

This is the RDF encoding of the Asset Description Metadata Schema, originally developed under the European Union's ISA Programme and further developed by the W3C Government Linked Data Working Group. It re-uses terms from several other vocabularies, notably Dublin Core, with elements of SKOS, FOAF and more.

Version: 1.0.0

The ontology of agent relationships (AgRelOn) defines relations of persons to other persons and to organisations, since agents (persons, organisations) and their interconnections are important in the cultural heritage domain. AgRelOn is developed to foster uniform cataloging as well as semantic searchability of and via relations between agents. Therefore, a general set of nearly 70 relationhip types is provided. AgRelOn discerns private acquaintanceship, group affiliation, correspondence, occupational contact, kinship, spiritual contact, and vital/lethal contact. For these kinds of relations more specific sub-relations are formulated. Meta statements are supported to obtain transparency of reliability and provenance as well as validity period of facts. The modelled relations are determined on the one hand by exemplary knowledge base searches, on the other hand by available data sources. Hence, the model consciously is incomplete and pertinent to a cultural area and period.

Version: 1.0.0

AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. It is widely used in specialized libraries as well as digital libraries and repositories to index content and for the purpose of text mining. It is also used as a specialized tagging resource for content organization by FAO and third-party stakeholders.

This dataset is the AGROVOC Core. It includes:

  • data dump from VocBench
  • timestamp on the AGROVOC SKOS Concept Scheme, indicating the date/time of release
  • agrovoc mapping to other triple stores (now stored in the default graph, previously (until 2014) stored in the http://aims.fao.org/aos/agrovoc-mappings named graph; see Agrovoc VoID descriptor to get the list of all mapped files. AGROVOC version before 2015, there is a link to the updated mapping file for that version).

Version: 2020-07-08

AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. It is widely used in specialized libraries as well as digital libraries and repositories to index content and for the purpose of text mining. It is also used as a specialized tagging resource for content organization by FAO and third-party stakeholders.

This dataset is AGROVOC LOD. It includes:

  • AGROVOC Core
  • pointer to void:inDataset triple, linking to the AGROVOC VoID descriptor, for each skos:Concept, skosxl:Label and skos:ConceptScheme
  • materialization of SKOS core labels from the skosxl reified Labels (skosxl Labels are maintained too)
  • materializaton of trivially inferred triples (due to symmetric and inverseOf properties, no transitive closure computed)
  • Agrontology vocabulary (stored in the <http://aims.fao.org/aos/agrontology> named graph)

Version: 2020-07-08

The Argument Model Ontology (AMO) is an ontology that allows to describe argumentation according to the 'Toulmin Model of Argument'.

Version: 1.0.0

This annotation property is used for exemplifying possible requirements the content pattern provides a solution for. Requirements are expressed as natural language competency questions.

Version: 1.0.0

The Activity Streams 2.0 Vocabulary defines a set of abstract types and properties that describe past, present and future activities. The vocabulary is defined in two parts:

  1. A Core set of properties describing the generalized structure of an Activity; and
  2. An Extended set of properties that cover specific types of Activities and Artifacts common to many social Web application systems.

Version: 2.0.0

This is a draft RDF vocabulary for representing spatial data sets in INSPIRE as RDF. This vocabulary has been created using the “Guidelines for the RDF encoding of spatial data”.

The use of RDF is optional and does not supersede or replace the requirements regarding encoding specified in Clause 9 of the INSPIRE Data Specifications. This optional encoding is intended to support the e-government and open data community in Europe, which is increasingly looking at RDF to represent data.

This is a draft version. It has limitations and is expected to contain errors. Please report any issues or concerns in GitHub.

This ontology contains classes and properties that have been derived from the INSPIRE Administrative Units application schema.

The following properties have been encoded with global scope (see guidelines for further details):

  • AdministrativeBoundary.country

During the derivation, the following mappings, alignments, and omissions have been applied:

  • Mappings:

    • Code list and enumeration values are mapped to skos:Concept.
    • The properties beginLifespanVersion and endLifespanVersion are mapped to the global properties defined by the base ontology.
    • Geometry types are mapped to classes from the Simple Feature ontology.
    • Property AdministrativeUnit.country is mapped to the global property country from this ontology.
  • Alignments (through subsumption):

    • Spatial object types are aligned with gsp:Feature.
    • Properties of spatial object types with value type GeographicalName are aligned to property locn:geographicName.
    • Properties with a geometry value type are aligned to locn:geometry and gsp:hasDefaultGeometry.
  • Omissions:

    • Property inspireId is omitted. See the guidelines for further details.

Version: 1.0.0

AtomOwl is an ontology whose aim is to capture the semantics of rfc4287. RFC4287 is a format to syndicate online content, such as weblogs, podcasts, videocasts, etc. Syndication is a helpful way to alert interested readers to changes to a web site, be it to new content or changed content.

As AtomOwl captures the semantics of rfc4287 it is easy to convert rfc4287 feeds to AtomOwl statements and thus add them to a triple database, which can the be queried using a SPARQL endpoint. This should then help make very powerful searched for updated content possible.

Atom being built on RDF is very easily extensible. It meshes very well with other Ontologies such as FOAF or SIOC.

Version: 0.8.0

This is a draft RDF vocabulary for representing spatial data sets in INSPIRE as RDF. This vocabulary has been created using the “Guidelines for the RDF encoding of spatial data”.

The use of RDF is optional and does not supersede or replace the requirements regarding encoding specified in Clause 9 of the INSPIRE Data Specifications. This optional encoding is intended to support the e-government and open data community in Europe, which is increasingly looking at RDF to represent data.

This is a draft version. It has limitations and is expected to contain errors. Please report any issues or concerns in GitHub.

This ontology contains classes and properties that have been derived from the INSPIRE Base Types & Base Types2 application schemas. Additional classes implement types from the INSPIRE foundation schemas for which no suitable ontology representation has been identified yet.

The following properties with global scope (see guidelines for further details) have been added to this ontology, for re-use by importing ontologies:

  • beginLifespanVersion
  • endLifespanVersion
  • validFrom
  • validTo

During the derivation, the following mappings, alignments, and omissions have been applied:

  • Mappings:

    • Code list and enumeration values are mapped to skos:Concept.
    • Type Identifier is mapped to rdfs:Resource.
    • Type SpatialDataSet is mapped to dcat:Dataset.
    • Type PT_FreeText is mapped to rdf:langString.
    • Type TM_Position is mapped to time:TemporalPosition.
  • Alignments (through subsumption):

    • Property Contact.address is aligned to property locn:address.
  • Omissions:

    • The types Identifier and SpatialDataSet have not been converted. They are mapped as described before.
    • Property DocumentCitation.date has been omitted. A value for this property can be encoded using the DC-Terms properties ‘created’, ‘issued’, and ‘modified’. See the guidelines for further details.

Version: 1.0.0

The BIBFRAME vocabulary uses a Linked Data model and thus leverages the RDF modeling practice of uniquely identifying as Web resources all entities, attributes, and relationships (i.e., properties) between entities. The BIBFRAME Vocabulary is comprised of the RDF properties, classes, and relationships between and among them. In addition to the basic vocabulary linked to below the extension that the Library of Congress established in its work on a BIBFRAME 2.0 pilot is specified.

Version: 2.0.1

BIBFRAME Vocabulary with LC Extensions

Version: 1.2.0

The Basic Formal Ontology (BFO) is a small, upper level ontology that is designed for use in supporting information retrieval, analysis and integration in scientific and other domains. BFO is a genuine upper ontology. Thus it does not contain physical, chemical, biological or other terms which would properly fall within the coverage domains of the special sciences. BFO is used by more than 250 ontology-driven endeavors throughout the world.

The BFO project was initiated in 2002 under the auspices of the project Forms of Life sponsored by the Volkswagen Foundation. The theory behind BFO was developed first by Barry Smith and Pierre Grenon and presented in a series of publications listed here.

Version: 1.0.0

The Bibliometric Data Ontology (BiDO) is a modular ontology that allows the description of numerical and categorical bibliometric data (e.g., journal impact factor, author h-index, categories describing research careers) in RDF.

Version: 1.2.0

The BIO vocabulary contains terms useful for finding out more about people and their backgrounds and has some cross-over into genealogical information. The approach taken is to describe a person's life as a series of interconnected key events, around which other information can be woven. This vocabulary defines the event framework and supplies a set of core event types that cover many use cases, but it is expected that it will be extended in other vocabularies to suit their needs. The intention of this vocabulary is to describe biographical events of people and this intention carries through to the definitions of the properties and classes which are person-centric rather than neutral. For example the Employment event puts the person being employed as the principal agent in the event rather than the employer.

At its heart the BIO vocabulary is concerned with people, their relationships and the events in their lives. Together these can be used to build up a narrative of a person's life and their interactions with other people, organizations and the world around them. Events bound intervals of time that may be associated with particular relationships between people and groups or organisations. Many different types of life event are defined in this vocabulary including the obvious Birth, Marriage and Death but also Coronation, Performance and even Murder. These events are not intended to be fully comprehensive but are representative of the types of events associated with biographical material. Currently the relationship segment of the vocabulary is underspecified with only a generic Relationship class available. It is envisaged that many types of relationship such as families, employments and ownerships will be specified in the future.

The sequence of events and intervals build a timeline of history against which people and their relationships can be placed. The aim is to enable simple forms of genealogical reasoning such as determining whether a child was born out of wedlock or the location of a family given the fact one of their children was attending a particular school. Events are ordered in time by relating them to one another and to abstract intervals of time.

Version: 0.1.0

The Bibliographic Reference Ontology (BiRO) allows the description of reference lists and bibliographic references themselves. In particular, BiRO uses an OWL-based definition of the FRBR model to define bibliographic references and their compilation into ordered bibliographic lists, by means of the Collections Ontology, as shown in the following figure.

Version: 1.1.1

Boundary-Line™ contains all levels of electoral and administrative boundaries, from district, wards and civil parishes or communities up to parliamentary, assembly and European constituencies.

Version: 1.0.0

This is a draft RDF vocabulary for representing spatial data sets in INSPIRE as RDF. This vocabulary has been created using the “Guidelines for the RDF encoding of spatial data”.

The use of RDF is optional and does not supersede or replace the requirements regarding encoding specified in Clause 9 of the INSPIRE Data Specifications. This optional encoding is intended to support the e-government and open data community in Europe, which is increasingly looking at RDF to represent data.

This is a draft version. It has limitations and is expected to contain errors. Please report any issues or concerns in GitHub.

This ontology contains classes and properties that have been derived from the INSPIRE Buildings Base application schema.

The following properties have been encoded with global scope (see guidelines for further details):

  • BuildingGeometry2D.horizontalGeometryReference
  • BuildingGeometry2D.horizontalGeometryEstimatedAccuracy
  • BuildingGeometry2D.verticalGeometryEstimatedAccuracy

During the derivation, the following mappings, alignments, and omissions have been applied:

  • Mappings:

    • Code list values are mapped to skos:Concept.
    • The properties beginLifespanVersion and endLifespanVersion are mapped to the global properties defined by the base ontology.
    • Geometry types are mapped to classes from the Simple Feature ontology.
  • Alignments (through subsumption):

    • Spatial object types are aligned with gsp:Feature.
    • Properties of spatial object types with value type GeographicalName are aligned to property locn:geographicName.
    • Properties with a geometry value type are aligned to locn:geometry and gsp:hasDefaultGeometry.
  • Omissions:

    • Property inspireId is omitted. See the guidelines for further details.

Version: 1.0.0

This is a draft RDF vocabulary for representing spatial data sets in INSPIRE as RDF. This vocabulary has been created using the “Guidelines for the RDF encoding of spatial data”.

The use of RDF is optional and does not supersede or replace the requirements regarding encoding specified in Clause 9 of the INSPIRE Data Specifications. This optional encoding is intended to support the e-government and open data community in Europe, which is increasingly looking at RDF to represent data.

This is a draft version. It has limitations and is expected to contain errors. Please report any issues or concerns in GitHub.

This ontology contains classes and properties that have been derived from the INSPIRE Buildings 2D application schema.

The following properties have been encoded with global scope (see guidelines for further details):

  • Building.geometry2D

During the derivation, the following mappings, alignments, and omissions have been applied:

  • Mappings:

    • Property BuildingPart.geometry2D is mapped to the global property geometry2D from this ontology.
  • Alignments (through subsumption):

    • Spatial object types are aligned with gsp:Feature.
  • Omissions: none

Version: 1.0.0

This is a draft RDF vocabulary for representing spatial data sets in INSPIRE as RDF. This vocabulary has been created using the “Guidelines for the RDF encoding of spatial data”.

The use of RDF is optional and does not supersede or replace the requirements regarding encoding specified in Clause 9 of the INSPIRE Data Specifications. This optional encoding is intended to support the e-government and open data community in Europe, which is increasingly looking at RDF to represent data.

This is a draft version. It has limitations and is expected to contain errors. Please report any issues or concerns in GitHub.

This ontology contains classes and properties that have been derived from the INSPIRE Buildings 3D application schema.

The following properties have been encoded with global scope (see guidelines for further details):

  • Building.geometry3DLoD1
  • Building.geometry3DLoD2
  • Building.geometry3DLoD3
  • Building.geometry3DLoD4

During the derivation, the following mappings, alignments, and omissions have been applied:

  • Mappings:

    • GM_MultiCurve and GM_MultiSurface are mapped to the according classes from the Simple Feature ontology.
    • GM_Solid is mapped to the according class from the GML ontology.
    • Properties geometry2D are mapped to the global property geometry2D from the buildings 2D ontology.
    • Properties horizontalGeometryReference, verticalGeometryEstimatedAccuracy, and horizontalGeometryReference are mapped to the according global properties from the buildings base ontology.
    • Properties BuildingPart.geometry3DLoDX (with X=1,2,3,4) are mapped to the global properties geometry3DLoDX (with X=1,2,3,4) from this ontology.
  • Alignments (through subsumption):

    • Spatial object types are aligned with gsp:Feature.
    • Properties with a geometry value type are aligned to locn:geometry and gsp:hasGeometry.
  • Omissions: none

Version: 1.0.0

The Citation Counting and Context Characterisation Ontology (C4O) is an ontology that permits the number of in-text citations of a cited source to be recorded, together with their textual citation contexts, along with the number of citations a cited entity has received globally on a particular date.

Version: 1.2.0

The Comic Book Ontology is a metadata vocabulary for describing comic books and comic book collections. It is a work in progress and part of a larger research project exploring the organization and description of data about comic books.

Version: 0.15.3

Chemical Entities of Biological Interest (ChEBI) is a freely available dictionary of molecular entities focused on ‘small’ chemical compounds. The term ‘molecular entity’ refers to any constitutionally or isotopically distinct atom, molecule, ion, ion pair, radical, radical ion, complex, conformer, etc., identifiable as a separately distinguishable entity. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms.

ChEBI incorporates an ontological classification, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified.

ChEBI uses nomenclature, symbolism and terminology endorsed by the following international scientific bodies:

Molecules directly encoded by the genome (e.g. nucleic acids, proteins and peptides derived from proteins by cleavage) are not as a rule included in ChEBI.

Version: 1.0.0

The Advene project aims at providing a model and various formats to share annotations about digital video documents (movies, courses, conferences…), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents. Teachers, moviegoers, etc. can use them to exchange multimedia comments and analyses about video documents.

The Cinelab model allows not only to represent video annotations, but also an elicitation of their structure (through notions of schema and annotation type), as well as their presentations with views (templates applied on data to produce hypervideos) and queries.

This model has been developed by the partners of the Cinelab project (2007-2008, funded by the french national research agency), and used afterwards in a number of projects and applications, including Advene (LIRIS) and Ligne de temps (IRI).

Version: 0.1.2

CiTO, the Citation Typing Ontology, is an ontology for the characterization of citations, both factually and rhetorically.

Version: 2.8.1

The Collection Description Terms

Version: 2013-06-26