• 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