207
results
-
DBpedia Data ID is an ontology with the goal of describing LOD datasets via RDF files in a uniform way. Established vocabularies like DCAT, VoID, Prov-O and SPARQL Service Description are used for maximum compatibility. @en
-
A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
-
An ontology and vocabulary used for exposing IEEE LOM, a metadata standard for educational contents, as Linked Data. It is intended as a bridge for linkage of educational metadata into Linked Open Data (LOD). In this ontology, we designed a mapping of IEEE LOM elements to RDF based on Linked Data principles. @en
-
ekc- EKC Data Model Vocabulary: Ontology Design for the Encyclopedic Archives of Korean Culture (ekc)The present specification is based on the document \"Ontology:EKC 2022\", originally led by Hyeon Kim in the Center for Digital Humanities at the Academy of Korean Studies. @en
-
Ontology including the content ontology design pattern for modelling objects with states. @en
-
This ontology establishes classes corresponding to stereotypes used in ISO-conformant models, as used in the rules for conversion of the ISO TC 211 Harmonized Model from the UML to OWL representations @en
-
An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - LI Package @en
-
An OWL representation of the Sampling Features Schema described in clauses 8-10 of ISO 19156:2011 Geographic Information - Observations and Measurements. @en
-
This vocabulary set can represent 5W1H (Who, What, When, Where, Why, How) in event (scene) descriptions. This file is also provided in Knowledge Graph Reasoning Challenge. @en
-
This is a registration of classes and properties from International Standard Bibliographic Description (ISBD), consolidated edition, published by De Gruyter Saur in July 2011 (ISBN 978-3-11-026379-4). @en
-
MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-core layer represents the core information gathered from a basic machine learning experiment design. @en
-
MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-algo layer represents the algorithm information existing into a basic machine learning experiment. @en
-
MEX is an RDF vocabulary designed to facilitate interoperability between published machine learning experiments results on the Web. The mex-perf layer is the 3rd level of the MEX for representing the machine learning algorithm's performances. @en
-
The Linked SPARQL Queries Vocabulary (LSQ(V)), defined using RDF(S) and OWL, provides a machine readable vocabulary to help describe queries in SPARQL logs and their statistics. The vocabulary builds upon the SPIN vocabulary and the Service Description vocabulary. @en
-
RDF Schema declaration for Japan NDL Metadata Terms @en