DocumentCode :
672206
Title :
Ontology development using Hozo and Semantic analysis for information retrieval in Semantic Web
Author :
Singh, Gagan ; Jain, Vinesh ; Singh, Monika
Author_Institution :
Guru Tegh Bahadur Inst. of Technol., GGS Indraprastha Univ., New Delhi, India
fYear :
2013
fDate :
9-11 Dec. 2013
Firstpage :
113
Lastpage :
118
Abstract :
We are living in the world of computers. This modern era deals with a wide network of information present on web. A huge number of documents present on web have increased the need for support in exchange of information and knowledge. It is necessary that user should be provided with relevant information about given domain. Traditional Information Extraction techniques like Knowledge Management Solutions were not so advanced that they can lead to extraction of precise information form text documents. It leads to the concept of Semantic Web that depends on creation and integration of Semantic data. The Semantic data in turn depends on building of Ontology. Ontology is considered as backbone of Software system. It improves understanding between concepts used in Semantic Web. So, there is need to build an ontology that uses well defined methodology and process of developing ontology is called Ontology Development.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; computers; hozo; information extraction techniques; information retrieval; knowledge management solutions; ontology development; relevant information; semantic Web; semantic analysis; semantic data; software system; wide information network; Computers; Ontologies; Resource description framework; Search engines; Semantics; Hozo; Information Retrieval (IR); Ontology; Semantic Web (SW); Software Development Life Cycle (SDLC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Information Processing (ICIIP), 2013 IEEE Second International Conference on
Conference_Location :
Shimla
Print_ISBN :
978-1-4673-6099-9
Type :
conf
DOI :
10.1109/ICIIP.2013.6707566
Filename :
6707566
Link To Document :
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