URI*
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http://lsdis.cs.uga.edu/projects/semdis/opus#
http://lsdis.cs.uga.edu/projects/semdis/opus#
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Contact*
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Enrico Motta (enrico.motta@open.ac) Aliaksandr Birukou (birukou@rien.com)
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Object creation date property
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http://purl.org/dc/elements/1.1/created
http://purl.org/dc/elements/1.1/created
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Submission date
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November 30, 2023
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Deprecated
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false
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Description*
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The Computer Science Ontology (CSO) is a large-scale ontology of research areas that was automatically generated using the Klink-2 algorithm [1] on the Rexplore dataset [2], which consists of about 16 million publications, mainly in the field of Computer Science. The Klink-2 algorithm combines semantic technologies, machine learning, and knowledge from external sources to automatically generate a fully populated ontology of research areas. Some relationships were also revised manually by experts during the preparation of two ontology-assisted surveys in the field of Semantic Web and Software Architecture. The main root of CSO is Computer Science, however, the ontology includes also a few secondary roots, such as Linguistics, Geometry, Semantics, and so on.
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Creator
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Boanerges Aleman-Meza |
Subject
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https://data.stageportal.lirmm.fr/categories/GOVT
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Representation language*
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OWL
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Modification date
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November 14, 2012
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Object modification date property
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http://purl.org/dc/elements/1.1/modified
http://purl.org/dc/elements/1.1/modified
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Notes
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This file specifies in RDF Schema format the classes and properties for SwetoDblp.
These classes and properties are based on the internal LSDIS Library portal engine.
Contact Person is Boanerges Aleman-Meza (baleman at uga dot edu).
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Root of obsolete branch
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http://www.geneontology.org/formats/oboInOwl#ObsoleteClass
http://www.geneontology.org/formats/oboInOwl#ObsoleteClass
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Creation date*
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January 1, 2019
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Status*
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production
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URI Lookup Endpoint
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https://stageportal.lirmm.fr/search?ontologies=CSO&require_exact_match=true&q=
search?ontologies=CSO&require_exact_match=true&q=
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Version information
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2007-05-01
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