Personal keyword extraction from the Web

Junichiro Mori*, Yutaka Matsuo, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Article査読

9 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)337-345
ページ数9
ジャーナルTransactions of the Japanese Society for Artificial Intelligence
20
5
出版ステータスPublished - 2005
外部発表はい

ASJC Scopus subject areas

  • 人工知能

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