Improving concept hierarchy development for web returned documents using automatic classification

Yi Fang Brook Wu, Razvan Stefan Bot, Xin Chen, Quanzhi Li

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

Abstract

This paper presents a hybrid concept hierarchy development technique for web returned documents retrieved by a meta-search engine. The technique consists of a combination of concept hierarchy generation and automatic document classification. They are combined in a streamlining fashion. At first, an automatic classification is performed on the set of retrieved web documents. Then, an individual topical concept hierarchy is automatically generated inside each of the categories from the previous step. Both steps are executed dynamically and automatically. Our evaluation shows that this technique improves the precision of the final topical concept hierarchies compared to prior studies.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 International Conference on Internet Computing, ICOMP'05
Pages99-105
Number of pages7
StatePublished - Dec 1 2005
Event2005 International Conference on Internet Computing, ICOMP'05 - Athens, GA, United States
Duration: Jun 27 2005Jun 30 2005

Publication series

NameProceedings of the 2005 International Conference on Internet Computing, ICOMP'05

Other

Other2005 International Conference on Internet Computing, ICOMP'05
Country/TerritoryUnited States
CityAthens, GA
Period6/27/056/30/05

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • Automatic classification
  • Concept hierarchy
  • Document classification
  • Information retrieval

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