114
results
-
OLiA Annotation Model for Uby Parts of Speech (Gurevych et al, 2012) extracted from the Uby DTD (http://purl.org/olia/ubyCat.owl, version of Nov 21th, 2012). References Iryna Gurevych, Judith Eckle-Kohler, Silvana Hartmann, Michael Matuschek, Christian M. Meyer and Christian Wirth, 2012, Uby - A Large-Scale Unified Lexical-Semantic Resource, Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012), Avignon, France. The DTD is made available under a Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license which is available at http://creativecommons.org/licenses/by-sa/3.0/ You are free to share (copy, distribute and transmit) the work, to develop your own extensions (adapt, remix) of the work, and to make commercial use of the work. @en
-
OPMV, the Open Provenance Model Vocabulary, provides terms to enable practitioners of data publishing to publish their data responsibly. @en
-
The Provenance Vocabulary Core Ontology provides the main classes and properties required to describe provenance of data on the Web. @en
-
Extends the Provenance Vocabulary by defining subclasses of the types of provenance elements introduced in the core ontology. @en
-
PAV is a lightweight ontology for tracking Provenance, Authoring and Versioning. PAV specializes the W3C provenance ontology PROV-O in order to describe authorship, curation and digital creation of online resources. @en
-
This vocabulary defines a set of terms for describing changes to resource descriptions. @en
-
SCOT is an ontology for describing the structure and the semantics for tagging data across heterogenous users, sources, and applications. @en
-
The Databugger ontology describes concepts used in Databugger, a test driven data-debugging framework that can run automatically generated (based on a schema) and manually generated test cases against an endpoint. @en
-
This ontology is a version of the ISO TC211, Group for Ontology Management (GOM)'s OWL ontology interpretation of the ISO19160-1:2015 "Addressing -- Part 1: Conceptual model" standard (see https://www.iso.org/standard/61710.html) taken from that ontology's source code, published at https://github.com/ISO-TC211/GOM/tree/master/isotc211_GOM_harmonizedOntology/19160-1/2015. @en
-
Our goal is to significantly improve the data mobility between all stakeholders by providing a standardized vocabulary using Semantic Web technologies and ontologies. For the open vocabulary covering various mobility aspects we use RDF (Resource Description Framework) - a recommended specification of the World Wide Web Consortium (W3C) and the so-called lingua franca for the integration of data and web. We invite everyone who is interested to join our MobiVoc initiative and to participate in the development of the Open Mobility Vocabulary. @en
-
A vocabulary that supports the publication of Open Data by providing the means to capture machine-readable "rights statements", e.g. the licensing information, copyright notices and attribution requirements that are associated with the publication and re-use of a dataset. @en
-
This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality constraint templates are especially useful for the identification of data quality problems during data entry and for periodic quality checks during data usage. @en
-
Ontology Specialties describes all possible specialties (directions) in the RF, in which the UGNS they are composed, as well as information about their old codes / groups / names. @en
-
TheSPITFIRE Ontology (spt) is based on the alignment among Dolce+DnS Ultralite(dul), the W3C Semantic Sensor Network ontology (ssn) and the Event Model-F ontology (event). @en
-
The Data Value Vocabulary (DaVe) is an extensible core vocabulary that allows user to use custom data value dimensions and metrics to characterise data value in a specific context. This flexibility allows for the comprehensive modelling of data value. As a data value model, DaVe allows users to monitor data value as it occurs within a data exploitation or value creation process (data value chain) @en