Keyword extraction from the Web for personal metadata annotation

Junichiro Mori, Yutaka Matsuo, Mitsuru Ishizuka, Boi Faltings

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

With the currently growing interest in the Semantic Web and Social Networking, personal metadata is coming to play an important role in the Web. This paper proposes a novel keyword extraction method to extract personal metadata from the Web. The proposed method is based on co-occurrence information of words. Our method extracts relevant keywords depending on the context of a person. Our experimental results show that extracted keywords are useful for personal metadata creation. We also discuss the annotation of personal metadata and application to the Semantic Web.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Pages51-60
Number of pages10
Volume184
Publication statusPublished - 2004
Externally publishedYes
Event4th International Workshop on Knowledge Markup and Semantic Annotation, SemAnnot 2004 - Located at the 3rd International Semantic Web Conference, ISWC 2004 - Hiroshima, Japan
Duration: 2004 Nov 82004 Nov 8

Other

Other4th International Workshop on Knowledge Markup and Semantic Annotation, SemAnnot 2004 - Located at the 3rd International Semantic Web Conference, ISWC 2004
CountryJapan
CityHiroshima
Period04/11/804/11/8

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Mori, J., Matsuo, Y., Ishizuka, M., & Faltings, B. (2004). Keyword extraction from the Web for personal metadata annotation. In CEUR Workshop Proceedings (Vol. 184, pp. 51-60)