KeyWorld: Extracting keywords from a document as a small world

Yutaka Matsuo, Yukio Ohsawa, Mitsuru Ishizuka

研究成果: Conference contribution

47 被引用数 (Scopus)

抄録

The small world topology is known widespread in biological, social and man-made systems. This paper shows that the small world structure also exists in documents, such as papers. A document is represented by a network; the nodes represent terms, and the edges represent the co-occurrence of terms. This network is shown to have the characteristics of being a small world, i.e., nodes are highly clustered yet the path length between them is small. Based on the topology, we develop an indexing system called KeyWorld, which extracts important terms by measuring their contribution to the graph being small world.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社Springer Verlag
ページ271-281
ページ数11
2226
ISBN(印刷版)9783540429562
出版ステータスPublished - 2001
外部発表はい
イベント4th International Conference on Discovery Science, DS 2001 - Washington, United States
継続期間: 2001 11月 252001 11月 28

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2226
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other4th International Conference on Discovery Science, DS 2001
国/地域United States
CityWashington
Period01/11/2501/11/28

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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