Personal keyword extraction from the Web

Junichiro Mori, Yutaka Matsuo, Mitsuru Ishizuka

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

With the currently growing interest in the Semantic Web, personal metadata to model a user and the relationship between users is coming to play an important role in the Web. This paper proposes a novel keyword extraction method to extract personal information from the Web. The proposed method uses the Web as a large corpus to obtain co-occurrence information of words. Using the co-occurrence information, our method extracts relevant keywords depending on the context of a person. Our evaluation shows better performance to other keyword extraction methods. We give a discussion about our method in terms of general keyword extraction for the Web.

Original languageEnglish
Pages (from-to)337-345
Number of pages9
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume20
Issue number5
Publication statusPublished - 2005
Externally publishedYes

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Semantic Web
Metadata

Keywords

  • Keyword extraction
  • Metadata
  • Search engine
  • Social network
  • Word co-occurrence

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Personal keyword extraction from the Web. / Mori, Junichiro; Matsuo, Yutaka; Ishizuka, Mitsuru.

In: Transactions of the Japanese Society for Artificial Intelligence, Vol. 20, No. 5, 2005, p. 337-345.

Research output: Contribution to journalArticle

Mori, J, Matsuo, Y & Ishizuka, M 2005, 'Personal keyword extraction from the Web', Transactions of the Japanese Society for Artificial Intelligence, vol. 20, no. 5, pp. 337-345.
Mori, Junichiro ; Matsuo, Yutaka ; Ishizuka, Mitsuru. / Personal keyword extraction from the Web. In: Transactions of the Japanese Society for Artificial Intelligence. 2005 ; Vol. 20, No. 5. pp. 337-345.
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