• DocumentCode
    491960
  • Title

    Building a semantic model of a textual document for efficient search and retrieval

  • Author

    Nyamsuren, Enkhbold ; Choi, Ho-Jin

  • Author_Institution
    Intell. Software Eng. & Robot. Lab., Inf. & Commun. Univ., Daejeon
  • Volume
    01
  • fYear
    2009
  • fDate
    15-18 Feb. 2009
  • Firstpage
    298
  • Lastpage
    302
  • Abstract
    This paper describes a new approach of enhancing textual document search and retrieval. The approach tries to take advantage of structured query languages in search and retrieval. For this purpose the semantic model of the document is created. The semantic model of the document is an ontology-like structured semantic annotation of the document that can support structured querying. This paper discusses how semantic model can be created from textual document and how set of semantic models can be efficiently searched through structured query language.
  • Keywords
    information retrieval; ontologies (artificial intelligence); query languages; semantic networks; text analysis; document retrieval; document search; ontology-like structured semantic annotation; semantic model; structured query languages; structured querying; textual document; Database languages; Information retrieval; Intelligent robots; Intelligent structures; Ontologies; Prototypes; Semantic Web; Software engineering; Taxonomy; Text analysis; Semantic web; co-occurrence; document; keywords; ontology; relation analysis; semantic model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-138-7
  • Electronic_ISBN
    1738-9445
  • Type

    conf

  • Filename
    4809956