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A REVIEW ON SEMANTIC WEB
Author(s) -
Komal Dhulekar,
Madhuri Devrankar
Publication year - 2020
Publication title -
international journal of engineering technologies and management research
Language(s) - English
Resource type - Journals
ISSN - 2454-1907
DOI - 10.29121/ijetmr.v6.i12.2019.470
Subject(s) - computer science , social semantic web , semantic web stack , semantic web , semantic web rule language , semantic analytics , world wide web , web standards , owl s , data web , rdf , web modeling , rdf/xml , information retrieval , web page , sparql
Semantic web is a concept that enables better machine processing of information on the web, by structuring documents written for the web in such a way that they become understandable by machines. This can be used for creating more complex applications (intelligent browsers, more advanced web agents), etc. Semantic modeling languages like the Resource Description Framework (RDF) and topic maps employ XML syntax to achieve this objective. New tools exploit cross domain vocabularies to automatically extract and relate the meta information in a new context. Web Ontology languages like DAML+OIL extend RDF with richer modeling primitives and a provide a technological basis to enable the Semantic Web. The logic languages for Semantic Web are described (which build on the of RDF and ontology languages). They, together with digital signatures, enable a web of trust, which will have levels of trust for its resources and for the rights of access, and will enable generating proofs, for the actions and resources on the web.

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