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The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3 ), is an extension of the World Wide Web through standards [1] set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable. To enable the encoding of semantics with the data, technologies such as Resource Description ...
Semantic Scholar. Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [ 2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Ontology learning (ontology extraction, 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 retrieval.
Ddoc. Ddoc is a compiler-embedded documentation generator and associated syntax, for the D programming language, designed by Walter Bright. Its emphasis is on being able to write documentation in code comments in a natural style, minimizing the need for embedded markup and thus improving the legibility of the code comments.
customizable HTML based templates, custom comment tags linked graphical object relationship diagrams internal links and links to .NET framework documentation types extracted and linked Doxygen: with XSLT caller and callee graphs, dependency graphs, inheritance diagrams, collaboration diagrams Epydoc: Haddock: Yes Yes HeaderDoc
Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly ...
Schema.org is an initiative launched on June 2, 2011, by Bing, Google and Yahoo! [3] [4] [5] (operators of the world's largest search engines at that time) [6] to create and support a common set of schemas for structured data markup on web pages. In November 2011, Yandex (whose search engine is the largest in Russia) joined the initiative.