Developing a directory of search engines for meta-searching

Jacky K.H. Shiu; Stephen C.F. Chan; Fu Lai Korris Chung

Developing a directory of search engines for meta-searching

Jacky K.H. Shiu, Stephen C.F. Chan, Fu Lai Korris Chung

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

Selecting the right search engine to use is critical to meta-searching. This paper discusses the development of a directory of search engines by linking search engines to appropriate topics in a hierarchy of search topics. A categorization algorithm based on probe queries is used to determine the relevancy of specific search engines to search topics. Output of the categorization algorithm is compared with human categorizations and results are promising.

Original language	English
Pages (from-to)	768-772
Number of pages	5
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2690
Publication status	Published - 1 Dec 2004

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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title = "Developing a directory of search engines for meta-searching",

abstract = "Selecting the right search engine to use is critical to meta-searching. This paper discusses the development of a directory of search engines by linking search engines to appropriate topics in a hierarchy of search topics. A categorization algorithm based on probe queries is used to determine the relevancy of specific search engines to search topics. Output of the categorization algorithm is compared with human categorizations and results are promising.",

author = "Shiu, {Jacky K.H.} and Chan, {Stephen C.F.} and Chung, {Fu Lai Korris}",

year = "2004",

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volume = "2690",

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Developing a directory of search engines for meta-searching. / Shiu, Jacky K.H.; Chan, Stephen C.F.; Chung, Fu Lai Korris.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2690, 01.12.2004, p. 768-772.

Research output: Journal article publication › Journal article › Academic research › peer-review

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AB - Selecting the right search engine to use is critical to meta-searching. This paper discusses the development of a directory of search engines by linking search engines to appropriate topics in a hierarchy of search topics. A categorization algorithm based on probe queries is used to determine the relevancy of specific search engines to search topics. Output of the categorization algorithm is compared with human categorizations and results are promising.

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Developing a directory of search engines for meta-searching

Abstract

ASJC Scopus subject areas

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