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results
  • tl - The Timeline Ontology
    http://purl.org/NET/c4dm/timeline.owl
    Extends owl-time ontology with support for several timelines, acting as a backbone to adress time interval/instants. Mainly designed with a multimedia use-case in mind. @en
  • step - Semantic Trajectory Episodes
    http://purl.org/net/step
    A lightweight ontology for representing semantic trajectories and contextual elements in terms of features of interests and episodes. @en
  • ecpo - Enumeration and Chronology of Periodicals Ontology
    http://purl.org/ontology/ecpo
    Defines the common bibliographic terms for the description of enumeration and chronology of periodicals @en
  • nsl - A News Storyline Ontology
    http://purl.org/ontology/storyline
    The News Storyline Ontology is a generic model for describing and organising the stories news organisations tell. The ontology is intended to be flexible to support any given news or media publisher's approach to handling news stories. At the heart of the ontology, is the concept of Storyline. @en
  • tempo - TempO - Temporal Ontology
    http://purl.org/tempo
    In a typical (uni)temporal data model every resource's appearance (and disappearance) is being tracked. Numerous systems accomplish unitemporal tracking, either externally by e.g. using git to record the insertion or deletion of a resource, or internally by e.g. using prov:generatedAtTime and prov:invalidatedAtTime. This axis of time is known as *system time*, and none of TempO's concern because for one there is readily available support, and moreover because unitemporal tracking is used for principally true statements, i.e. those that have always been (considered) true or will always be (considered) true. TempO addresses bitemporal and tritemporal setups: Resources which are (known or believed to be) valid and efficacious for some time. A second time axis orthogonal to system time is introduced, that is a resource can be valid even though it is currently not in the system, or, conversely, can be already or still invalid by the time it enters the system. Efficacy, sometimes called decision time, is yet another concept orthogonal to validity, i.e. a resource that is no longer or not yet valid can be efficacious. The converse, a valid but inefficacious resource in the system, is *usually* not encountered but TempO does not impose restrictions on the shape of the time area. In general the necessity for tracking both validity and efficacy arises in areas where concepts are assigned a code or label that is subject to reuse following invalidation. Tracking efficacy and validity concurrently then allows for fine-grained control over how much future knowledge or how much past knowledge we tolerate in a datset. Example: -------- Czechoslovakia was founded in 1918 but became part of Germany, Hungary and Poland in 1938. It was reestablished in 1945 but split into two sovereign states in 1993. The ISO 3166 country code for Czechoslovakia used to be 'CS', assigned in 1974, published in February 1978, and invalidated with the country's split. In 2003 ISO 3166 reassigned the country code 'CS' to Serbia and Montenegro. The facts were assembled in 2018 and written down as follows: cc:CSHH a cc:ISO3166-CountryCode ; rdfs:label "CS" ; cc:refersTo "Czechoslovakia" ; prov:generatedAtTime "2018-02-29T04:00:00Z"^^xsd:dateTime . tempo:validFrom "1978-02"^^xsd:gYearMonth ; tempo:validTill "1993-01-01"^^xsd:date ; tempo:efficaciousFrom "1918"^^xsd:gYear , "1945"^^xsd:gYear ; tempo:efficaciousTill "1938"^^xsd:gYear , "2003"^^xsd:gYear . The use of the country code 'CS' in a statement from 1988 can be resolved to cc:CSHH, as of today, free from ambiguity; it was valid back then after all and we know that today. The same query in 2017 (point-in-time query) would have yielded no results because the information hadn't been in the system back then. Point-in-time queries, however, are not TempO's major concern so only as-of-today queries are assumed from now on. Following the country's split it is highly likely that news reports from, say, 1994 highlighting the then-recent past would still have used 'CS' to refer to cc:CSHH. According to the resource this is possible, a query for 'CS' in 1994 would bring up cc:CSHH as it is efficacious but marked as invalidated. On the other end of history, the use of the code 'CS' in, say, 1976 is plausible. The code was decided on but not yet formally published. A query for 'CS' as used in 1976 would bring up cc:CSHH, marked as anachronistic. Going back further, a statement from, say 1942, using the code 'CS' must clearly refer to something else. A query for 'CS' as used in 1976 would yield not yield any results. -- The ontology IRI http://purl.org/tempo/ always resolve to the latest version of TempO. Particular versionIRIs such as http://purl.org/tempo/0.1/ can be used by clients to force the import of a particular version. The goal of TempO is to allow for temporal constraints with control over how much future or past is permissible directly on the published resource, and as such, TempO does not restrict domain/ranges. @en
  • scoro - Scholarly Contributions and Roles Ontology
    http://purl.org/spar/scoro/
    SCoRO, the Scholarly Contributions and Roles Ontology, is an ontology for use by authors and publishers for describing the contributions that may be made and the roles that may be held by a person with respect to a journal article or other publication, and by research administrators and others for describing contributions and roles with respect to other aspects of scholarly research. @en
  • aiiso - Academic Institution Internal Structure Ontology
    http://purl.org/vocab/aiiso/schema
    The Academic Institution Internal Structure Ontology (AIISO) provides classes and properties to describe the internal organizational structure of an academic institution. AIISO is designed to work in partnership with Participation (http://purl.org/vocab/participation/schema), FOAF (http://xmlns.com/foaf/0.1/) and aiiso-roles (http://purl.org/vocab/aiiso-roles/schema) to describe the roles that people play within an institution. @en
  • meb - The myExperiment Base Ontology
    http://rdf.myexperiment.org/ontologies/base/
    This ontology provides the base elements required by myExperiment for content management, social networking and object annotation. @en
  • thors - The Temporal Ordinal Reference Systems
    http://resource.geosciml.org/ontology/timescale/thors
    An OWL representation of the model for Temporal Ordinal Reference Systems defined in GeoSciML v3. @en
  • gts - Geologic Timescale model
    http://resource.geosciml.org/ontology/timescale/gts
    This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America 1/3, 119–137. @en
  • interval - Intervals Ontology
    http://reference.data.gov.uk/def/intervals
    An ontology for time intervals @en
  • oh - The Opening Hours vocabulary
    http://semweb.mmlab.be/ns/oh
    A vocabulary to describe opening hours using calendars (recommended: iCal, RDFCal or schema.org) published on the Web. @en
  • swrc - Semantic Web for Research Communities
    http://swrc.ontoware.org/ontology-07
    An ontology for modeling entities of research communities such as persons, organisations, publications (bibliographic metadata) and their relationship @en
  • vivo - VIVO Core Ontology
    http://vivoweb.org/ontology/core
    An ontology of academic and research domain, developed in the framework of the VIVO project @en
  • m4i - Metadata4Ing: An ontology for describing the generation of research data within a scientific activity.
    http://w3id.org/nfdi4ing/metadata4ing#
    Metadata4Ing defines classes and properties or reuses such classes and properties from other ontologies to describe research processes and research data management in NFDI4Ing. New concepts and properties are located in the namespace of Metadata4Ing. Metadata4Ing does not import complete ontologies for the sake of relevance, readability, understandability and usability by and for engineers. Instead, it tries to make re-use of existing identifiers for classes and properties by re-using all or a relevant subset of the axioms from the original ontology. These statements have been extracted in different ways, e.g. by using Protégé tools importing an ontology and copying axioms of relevant items to Metadata4Ing or by download from data services or raw files of ontologies and manual copypasting. In some cases there was a need to extend or modify the original set of statements about an entity, e.g. because labels and definitions were expressed with a different owl:AnnotationProperty than the rest of Metadata4Ing, or because a skos:preflabel or a skos:definition in any of the languages we would like to support was missing. Any editorial changes on elements from external ontologies are declared in Metadata4Ing by an annotation with skos:editorialNote at item-level. To get the original set of statements we encourage to visit the original namespace of the respective item. Metadata4Ing reuses elements from the following ontologies: - BIBO = Bibliographic Ontology - BIRO = Bibliographic Reference Ontology - DCAT = Data Catalog - DCTERMS = Dublin Core Terms - FOAF = Friend of a Friend - OWL = Web Ontology Language - PROV = Provenance Namespace - QUDT = Quantities, Units, Dimensions and Types - RDF = Resource Description Framework - RDFS = RDF Schema - SCHEMA = schema.org - SKOS = Simple Knowledge Organization System - SSN = Semantic Sensor Network Ontology - VANN = Vocabulary for Annotating vocabulary descriptions - XSD = XML Schema Definition - EMMO = European Materials and Modelling Ontology - BFO = Basic Formal Ontology - RO = Relation Ontology - PIMS-II = PIMS Interoperability Infrastructure - D-SI = Digital System of Units @en