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An OWL vocabulary to include and exploit probabilistic information in SHACL validation reports @en
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Global City Indicator Foundation Ontology developed by the Information Engineering Group, Mechanical & Industrial Engineering, University of Toronto. Contains the foundation ontologies required to represent ISO 37120 city indicators, including Placenames, Time, Measurement, Provenance, Statistics, Validity and Trust. See: Fox, M.S., (2013), "A Foundation Ontology for Global City Indicators", Global City Institute Working Paper, Vol. 1, No.4, pp. 1-45. Global Cities Institute, University of Toronto. Updated 24 June 2014: http://www.eil. Based on the Global City Indicators Facility, University of Toronto: http://www.cityindicators.org/Deliverables/Core%20and%20Supporting%20Indicators%20Table%20SEPTEMBER%202011.pdf. Contact: Mark S. Fox, msf@eil.utoronto.ca @en
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ISO 37120 – Sustainable Development and Resilience of Communities – Indicators for City Services and Quality of Life (under TC268) http://ontology.eil.utoronto.ca/ISO37120.html This OWL file defines a class for each indicator defined in the ISO 37120 standard. Names for each indicator are provided. Text definitions are provided only for Economy, Education and Energy indicators, due to copyright restrictions imposed by ISO. This file is meant to provide a single URI for each indicator. An ontology for representing an indicator's supporting data plus meta information such as provenance, validity and trust can be found in: http://ontology.eil.utoronto.ca/GCI/Foundation/GCI-Foundation.owl Documentation of the ontology can be found in: http://eil.utoronto.ca/smartcities/papers/GCI-Foundation-Ontology.pdf @en
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Open 311 Ontology This ontology generalizes the concepts that appear in 311 open data files published by several cities (Toronto, New York, Chicago, Vancouver) across North America. It provides a generis representation of 311 data that other cities can map their data onto and be used as a means of achieving interoperability. @en
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This ontology defines concepts related to federation of internet infrastructures. @en
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The Open Provenance Model is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation. @en
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This document specifies a vocabulary for asserting the existence of official endorsements or certifications of agents, such as people and organizations. @en
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The Ontology for Biomedical Investigations (OBI) is build in a collaborative, international effort and will serve as a resource for annotating biomedical investigations, including the study design, protocols and instrumentation used, the data generated and the types of analysis performed on the data. This ontology arose from the Functional Genomics Investigation Ontology (FuGO) and will contain both terms that are common to all biomedical investigations, including functional genomics investigations and those that are more domain specific. @en
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This is a vocabulary for modeling jobs offer in Spain. @en
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The Data Quality Management Vocabulary - An Ontology for Data Requirements Management, Data Quality Monitoring, Data Quality Assessment, and Data Cleansing @en
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An ontology to describe competences and human capabilities @en
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Quality metrics can be (in principle) calculated on various forms of data (such as datasets, graphs, set of triples etc...). This vocabulary allow the owner/user of such RDF data to calculate metrics on multiple (and different) resources. @en
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A vocabulary for the Social and Solidarity Economy (SSE). This vocabulary is designed to be used in combination with the metadata schemes/vocabularies/ontologies: dcterms, good relations, foaf, vcard, organization and schema.org - this is defined in the Dublin Core Application Profile of the SSE. Developed by the ESSGlobal group of the Intercontinental Network for Promoting the Social and Solidarity Economy (RIPESS) Organisation. @en
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Ontology for healthcare metadata - especially metadata found in DICOM files (Digital Imaging and Communications in Medicine, see http://dicom.nema.org/). Author: Michael Brunnbauer, Bonubase GmbH (www.bonubase.com). The author's email address is brunni@netestate.de. See http://purl.org/healthcarevocab/v1help for explanations. @en
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OPMV, the Open Provenance Model Vocabulary, provides terms to enable practitioners of data publishing to publish their data responsibly. @en