A context-based multi-dimensional corporate analysis method

Shin Ito, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingChapter


This paper presents a context-based multi-dimensional corporate analysis method that evaluates companies based on user-specified contextual settings. The contextual settings are translated and decomposed into distinct spaces, finance, technology, and brand, each of which consists of a subspace containing multiple parameters. The contextual settings determine the relevance of each of such parameters in evaluating companies by assigning appropriate weight to the parameter. The important feature of this corporate analysis method is that it allows the user to analyze companies seamlessly only with the contextual settings without the knowledge of multi-dimensional decomposition.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXIV
PublisherIOS Press
Number of pages16
ISBN (Print)9781614991762
Publication statusPublished - 2013

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


  • Context-based
  • characteristic parameter
  • corporate analysis
  • inner products
  • mathematical model of meaning
  • relevance weight

ASJC Scopus subject areas

  • Artificial Intelligence


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