Assessment for ontology-supported deep web search

Yoo Jung An, Soon Ae Chun, Kuo Chuan Huang, James Geller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Ontologies could play an important role in assisting users in their search for Web pages. This paper considers the problem of constructing domain ontologies that support users in their Web search efforts and that increase the number of relevant Web pages that are returned. To achieve this goal, this paper suggests combining Deep Web information, which consists of dynamically generated Web pages, which cannot be indexed by the existing automated Web crawlers, with ontologies. Improvements when finding Deep Web sites returned by a search engine are assessed based on the framework formulated in this paper. Experimental results suggest that the proposed methods assist users in finding more relevant Web sites.

Original languageEnglish (US)
Title of host publicationProceedings - 10th IEEE Joint Conference on E-Commerce Technology and the 5th Enterprise Computing, E-Commerce and E-Services, CEC 2008 and EEE 2008
Pages382-388
Number of pages7
DOIs
StatePublished - Dec 1 2008
Event10th IEEE Joint Conference on E-Commerce Technology and the 5th Enterprise Computing, E-Commerce and E-Services, CEC 2008 and EEE 2008 - Crystal City, WA, United States
Duration: Jul 21 2008Jul 24 2008

Other

Other10th IEEE Joint Conference on E-Commerce Technology and the 5th Enterprise Computing, E-Commerce and E-Services, CEC 2008 and EEE 2008
CountryUnited States
CityCrystal City, WA
Period7/21/087/24/08

All Science Journal Classification (ASJC) codes

  • Marketing
  • Computer Networks and Communications
  • Software

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