Domain-Specific Web Search with Keyword Spices

Satoshi Oyama, Takashi Kokubo, Toru Ishida

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

Domain-specific Web search engines are effective tools for reducing the difficulty experienced when acquiring information from the Web. Existing methods for building domain-specific Web search engines require human expertise or specific facilities. However, we can build a domain-specific search engine simply by adding domain-specific keywords, called "keyword spices," to the user's input query and forwarding it to a general-purpose Web search engine. Keyword spices can be effectively discovered from Web documents using machine learning technologies. This paper will describe domain-specific Web search engines that use keyword spices for locating recipes, restaurants, and used cars.

Original languageEnglish
Pages (from-to)17-27
Number of pages11
JournalIEEE Transactions on Knowledge and Data Engineering
Volume16
Issue number1
DOIs
Publication statusPublished - 2004 Jan 1
Externally publishedYes

Fingerprint

Search engines
World Wide Web
Learning systems
Railroad cars

Keywords

  • Decision tree
  • Domain-specific Web search
  • Information retrieval
  • Machine learning
  • Query modification

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Domain-Specific Web Search with Keyword Spices. / Oyama, Satoshi; Kokubo, Takashi; Ishida, Toru.

In: IEEE Transactions on Knowledge and Data Engineering, Vol. 16, No. 1, 01.01.2004, p. 17-27.

Research output: Contribution to journalArticle

Oyama, Satoshi ; Kokubo, Takashi ; Ishida, Toru. / Domain-Specific Web Search with Keyword Spices. In: IEEE Transactions on Knowledge and Data Engineering. 2004 ; Vol. 16, No. 1. pp. 17-27.
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