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  • Defines the common bibliographic terms for the description of enumeration and chronology of periodicals @en
  • 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
  • This is an ontology representation of the generic features defined by Climate and Forecast (CF) standard names vocabulary (http://cf-pcmdi.llnl.gov/documents/cf-standard-names/), maintained by the Program for Climate Model Diagnosis and Intercomparison (http://cf-pcmdi.llnl.gov/ ) which is intended for use with climate and forecast data, in the atmosphere, surface and ocean domains. @en
  • This is an ontology representation of the climatic data variables defined by Climate and Forecast (CF) standard names vocabulary (http://cf-pcmdi.llnl.gov/documents/cf-standard-names/), maintained by the Program for Climate Model Diagnosis and Intercomparison (http://cf-pcmdi.llnl.gov/ ) which is intended for use with climate and forecast data, in the atmosphere, surface and ocean domains. @en
  • This ontology is part of the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). It is published here in order to generalize the potential usage and the alignment with other standardization efforts of the SSN ontology. @en
  • 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
  • An ontology to describe competences and human capabilities @en
  • This is the Hydrogen Ontology (HOLY). HOLY is a domain ontology for describing the complex structure of hydrogen-based markets. HOLY contributes to the systemic modeling of the hydrogen domain with a focus on its value chain. Hence, it provides a foundation for retrieval, storage, and delivery of market insights. @en
  • A lightweight ontology for representing semantic trajectories and contextual elements in terms of features of interests and episodes. @en
  • Vocabulary used to describe clean energy actors, projects and technologies @en
  • 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
  • An OWL representation of the model for Temporal Ordinal Reference Systems defined in GeoSciML v3. @en
  • This term list includes all currently valid terms that have been defined in the core Audubon Core namespace ac:. @en