Keyword Extraction from the Web for FOAF Metadata

نویسندگان

  • Junichiro Mori
  • Yutaka Matsuo
  • Mitsuru Ishizuka
  • Boi Faltings
چکیده

With the currently growing interest in the Semantic Web, metadata is becoming to play an important role in the Web. As one of forthcoming metadata standards for the Semantic Web, FOAF defines an RDF vocabulary for expressing metadata about people and the relation between people. In this paper we propose the novel keyword extraction method to extract FOAF metadata from the Web. The proposed method is based on cooccurrence information of words. Our method extracts relevant keywords depending on the context of a person. Our experimental result showed that extracted keywords were useful for FOAF metadata creation. We also discuss about the application of this keyword extraction method.

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تاریخ انتشار 2004