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istex - Istex ontology for scholarly documents and extracted entities https://data.istex.fr/ontology/istex# ISTEX is a platform that aims to provide the entire French higher education and research community with an online access to retrospective collections of scientific literature in all disciplines. This unparalleled reservoir of multidisciplinary resources is complemented by a significant number of value-added services that can be used to optimise operations through content discovery and interactive valuation tools. @en -
ci - A Content Inventory Vocabulary https://privatealpha.com/ontology/content-inventory/1# This vocabulary defines a number of concepts peculiar to content strategy which are not accounted for by other vocabularies. @en -
tfo - Transformation Functions Ontology https://privatealpha.com/ontology/transformation/1# This document describes functions which transform HTTP representations, i.e., the actual literal payloads of HTTP messages. @en -
edifact-o - EDIFACT Ontology https://purl.org/edifact/ontology An Ontology for representing EDIFACT Messages. @en -
s4grid - SAREF4GRID: an extension of SAREF for the Smart Grid domain https://saref.etsi.org/saref4grid/ The development of the SAREF4GRID ontology has been partially funded by the IA4TES project (MIA.2021.M04.0008), funded by the Spanish Ministry of Economic Affairs and Digital Transformation and by the NextGenerationEU program @en -
eccrev - RDF changes and revisions vocabulary https://vocab.eccenca.com/revision/ A vocabulary & data model for describing RDF changes and revisions. It defines the Commit & Revision classes together with their expected properties. @en -
cem - Crime Event Model (CEM) https://w3id.org/CEMontology The Crime Event Model is an ontology for the representation of crime events extracted from local newspapers. It could be employed for Crime Analysis purposes: extracting crime information from newspapers and enriching them with proper machine-readable semantics is a critical task to help law enforcement agencies at preventing crime, supporting criminal investigations and evaluating the action of law enforcement agencies themselves. The model is based on the fundamental 5W1H journalistic questions, that are Who?, What?, When?, Where?, Why? and How?. Another important requirement was the attempt to exploit existing knowledge graphs and ontologies such as the Simple Event Model (SEM) Ontology and the Schema.org data model for interoperability and interconnection. @en -
gdprt - GDPR text EXTensions https://w3id.org/GDPRtEXT The General Data Protection Regulation (GDPR) is comprised of several articles, each with points that refer to specific concepts. The general convention of referring to these points and concepts is to quote the specific article or point using a human-readable reference. This ontology provides a way to refer to the points within the GDPR using the EurLex ontology published by the European Publication Office. It also defines the concepts defined, mentioned, and requried by the GDPR using the Simple Knowledge Organization System (SKOS) ontology. @en -
amv - AMV:Algorithm Metadata Vocabulary https://w3id.org/amv Metadata vocabularies are used in various domains of study. It provides an in-depth description of the resources. In this work, we develop Algorithm Metadata Vocabulary (AMV), a vocabulary for capturing and storing the metadata about the algorithms (a procedure or a set of rules that is followed step-by-step to solve a problem, especially by a computer). The snag faced by the researchers in the current time is the failure of getting relevant results when searching for algorithms in any search engine. AMV is represented as a semantic model and produced OWL file, which can be directly used by anyone interested to create and publish algorithm metadata as a knowledge graph, or to provide metadata service through SPARQL endpoint. To design the vocabulary, we propose a well-defined methodology, which considers real issues faced by the algorithm users and the practitioners. The evaluation shows a promising result. @en -
cmd - Compound Measure Description https://w3id.org/cmd# This document is a vocabulary to describe compound measures, i.e. measures with several metric or item that are organized with serveral dimensions. The description of such a measure relies on a Tree-Structure of Requirement (TSoR): a set of requirements structured hierarchicaly with analysis element. A TSoR represents the main measure. Several information may be added to explicitely indicate how the overall score on the measure should be calculated based on the hierarchy, relative importance of the node of the hierarchy and an aggregation function. The measure can be described completely and unambiguously from the organisation to the requirements and the implementation. @en -
citedcat - CiteDCAT-AP Vocabulary https://w3id.org/citedcat-ap CiteDCAT-AP is an extension of the DCAT application profile for data portals in Europe (DCAT-AP) for describing resources documented by using the DataCite metadata schema - the de facto standard for data citation, and used across scientific disciplines. Its basic use case is to make research data searchable on general data portals, thereby bridging the gap between scientific and public sector information. For this purpose, CiteDCAT-AP provides an RDF vocabulary and the corresponding RDF syntax binding for the metadata elements defined in DataCite. @en -
dio - The Design Intent Ontology https://w3id.org/dio The scope of the DIO is the domain of design intent or design rationale that needs to be documented while undertaking the design of any artifact @en -
nyon - NyOn: A Multilingual Legal Ontology for Globalized Judicial System https://w3id.org/def/nyon# An ontology that represents concepts in the legal domain. @en -
och - OWL Change Ontology https://w3id.org/def/och# An ontology for describing changes between OWL ontology versions @en -
dsv - Data Specification Vocabulary https://w3id.org/dsv# Data Specification Vocabulary (DSV) is a vocabulary for describing semantic data specifications, namely vocabularies and application profiles. @en