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

  • Enkhbold Nyamsuren
  • , Ho Jin Choi

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

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.

Original languageEnglish
Title of host publication11th International Conference on Advanced Communication Technology, ICACT 2009 - Proceedings
Pages298-302
Number of pages5
Publication statusPublished - 2009
Externally publishedYes
Event11th International Conference on Advanced Communication Technology, ICACT 2009 - Phoenix Park, Korea, Republic of
Duration: 15 Feb 200918 Feb 2009

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume1
ISSN (Print)1738-9445

Conference

Conference11th International Conference on Advanced Communication Technology, ICACT 2009
Country/TerritoryKorea, Republic of
CityPhoenix Park
Period15/02/0918/02/09

Keywords

  • Co-Occurrence
  • Document
  • Keywords
  • Ontology
  • Relation analysis
  • Semantic model
  • Semantic web

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