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Michel Klein, Dieter Fensel. Ontology versioning on the Semantic Web. In Proceedings of the International Semantic Web Working Symposium (SWWS). Stanford University, 2001. [CiteSeer] Plessers, Peter; De Troyer, Olga (2005). "Ontology Change Detection Using a Version Log". The Semantic Web – ISWC 2005. Lecture Notes in Computer Science.
Semantic versioning three-part version number. Semantic versioning (aka SemVer) [1] is a widely-adopted version scheme [7] that encodes a version by a three-part version number (Major.Minor.Patch), an optional pre-release tag, and an optional build meta tag. In this scheme, risk and functionality are the measures of significance.
The Text Encoding Initiative (TEI) is a text-centric community of practice in the academic field of digital humanities, operating continuously since the 1980s.The community currently runs a mailing list, meetings and conference series, and maintains the TEI technical standard, a journal, [1] a wiki, a GitHub repository and a toolchain.
The European Learning Model is a semantic standard used to describe metadata about learning. [1] It is openly licensed, [2] and intended to be used by any stakeholder, in any education, training and employment context, that needs to describe learning data.
The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies.Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects.
the source code, available in its most up-to-date form in the EpiDoc SourceForge repository. The Guidelines source files are a series of XML documents, plus XSLT to transform them to the web version. [3] The EpiDoc Schema is also available in two forms: the latest stable version of the schema, which may be linked to directly by XML documents. [4]
In January 2014, Learning Tools Interoperability version 2.0 was launched, introducing REST-based two-way communication between external tools and the learning platform. [5] Simultaneously, a subset of version 2.0 was released as version 1.2, as a transitional update from version 1.1 to version 2.0.
Ontology learning (ontology extraction,ontology augmentation generation, ontology generation, or ontology acquisition) is the automatic or semi-automatic creation of ontologies, including extracting the corresponding domain's terms and the relationships between the concepts that these terms represent from a corpus of natural language text, and encoding them with an ontology language for easy ...