Extracting inter-business relationship from World Wide Web

YingZi Jin, Yutaka Matsuo, Mitsuru Ishizuka

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Social relation plays an important role in a real community. Interaction patterns reveal relations among actors (such as persons, groups, companies), which can be merged into valuable information as a network structure. In this paper, we propose a new approach to extract inter-business relationship from the Web. Extraction of relation between a pair of companies is realized by using a search engine and text processing. Since names of companies co-appear coincidentaly on the Web, we propose an advanced algorithm which is characterized by addition of keywords (or we call relation words) to a query. The relation words are obtained from either an annotated corpus or the Web. We show some examples and comprehensive evaluations on our approach.

Original languageEnglish
Pages (from-to)48-57
Number of pages10
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume22
Issue number1
Publication statusPublished - 2007
Externally publishedYes

Keywords

  • Information extraction
  • Relation extraction
  • Search query
  • Social network
  • WWW

ASJC Scopus subject areas

  • Artificial Intelligence

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