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  • The AIRS Linked Open Vocabulary is a way to describe human services information and referral (I&R) concepts. AIRS is the Alliance of Information and Referral Services (airs.org), which possesses over 1,000 member agencies primarily in the United States and Canada. The AIRS LOV is based on the AIRS XML Schema, available at: https://airs-xml.googlecode.com/hg/tags/3.1/airs.xsd @en
  • Appearances is an ontology that grew out of the need to record personal appearance details about individuals while taking into account errors of perception and translation between various diffferent standards. Originally it was meant to record physical caracteristics of Great War soldiers from their medical files, but it became evident that the resource was also useful for other purposes. @en
  • Arpenteur ontology is dedicated to photogrammetry, archeology and oceanology communities in order to perform tasks such as image processing, photogrammetry and modelling. @en
  • An OWL representation of (some of) the basic types described in ISO 19103:2005, required as primitives in other ontologies based on ISO 19100 series standards @en
  • Beverage Ontology is a Web vocabulary for describing beverages, mainly alcoholic. @en
  • The Building Topology Ontology (BOT) is a simple ontology defining the core concepts of a building. It is a simple, easy to extend ontology for the construction industry to document and exchange building data on the web. Changes since version 0.2.0 of the ontology are documented in: https://w3id.org/bot/bot.html#changes The version 0.2.0 of the ontology is documented in: Mads Holten Rasmussen, Pieter Pauwels, Maxime Lefrançois, Georg Ferdinand Schneider, Christian Anker Hviid and Jan Karlshøj (2017) Recent changes in the Building Topology Ontology, 5th Linked Data in Architecture and Construction Workshop (LDAC2017), November 13-15, 2017, Dijon, France, https://www.researchgate.net/publication/320631574_Recent_changes_in_the_Building_Topology_Ontology The initial version 0.1.0 of the ontology was documented in: Mads Holten Rasmussen, Pieter Pauwels, Christian Anker Hviid and Jan Karlshøj (2017) Proposing a Central AEC Ontology That Allows for Domain Specific Extensions, Lean and Computing in Construction Congress (LC3): Volume I – Proceedings of the Joint Conference on Computing in Construction (JC3), July 4-7, 2017, Heraklion, Greece, pp. 237-244 https://doi.org/10.24928/JC3-2017/0153 @en
  • The Advene project aims at providing a model and various formats to share annotations about digital video documents (movies, courses, conferences...), as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents. Teachers, moviegoers, etc. can use them to exchange multimedia comments and analyses about video documents. The Cinelab model allows not only to represent video annotations, but also an elicitation of their structure (through notions of schema and annotation type), as well as their presentations with views (templates applied on data to produce hypervideos) and queries. This model has been developed by the partners of the Cinelab project (2007-2008, funded by the french national research agency), and used afterwards in a number of projects and applications, including Advene (LIRIS) and Ligne de temps (IRI). @en
  • Ontology for the description of customizable products. It models the configuration process as the traversal of a graph of partially defined products, or "Configurations" @en
  • Utility concepts for everyday life @en
  • This is the encoding approved by CRM-SIG in the meeting 21/11/2012 as the official current version for the CIDOC CRM namespace. Note that this is NOT a definition of the CIDOC CRM, but an encoding derived from the authoritative release of the CIDOC CRM v5.0.4 on http://www.cidoc-crm.org/official_release_cidoc.html @en
  • Creative Workshop Management Ontology (CWMO) - an ontology designed to describe the creative workshop domain, to permit reasoning on creative method and to describe resources gathered inside Creative Support System. The primary goal of the ontology is to cover all knowledge about creative workshop and creative method necessary for Creative support system. The second goal is to provide interoperability between distributed Creative Support System. @en
  • The CWRC Ontology is the ontology of the Canadian Writing Research Collaboratory. @en
  • The DBpedia ontology provides the classes and properties used in the DBpedia data set. @en
  • DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web @en
  • A metadata vocabulary for documenting research and survey data @en