A context dependent dynamic interconnection method of heterogeneous knowledge bases by interrelation management function

Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki

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

1 Citation (Scopus)

Abstract

This paper presents an interconnection method for heterogeneous knowledge bases depending on user's interests as a context. Various knowledge bases have been created in each field by using collaborative working environments such as Wiki. One of the important issues is how to interconnect these knowledge bases and represent the relationships between various concepts in heterogeneous fields. An event affects various aspects of an area, field, or community. In order to understand an arbitrary event or concept, it is necessary to find various relationships over heterogeneous fields. Generally, the relationships over heterogeneous fields strongly depend on contexts and situations. It is important to realize the dynamic interconnection of knowledge bases depending on contexts and situations. Therefore, we design an interrelation management function (IMF) that defines the operator for interconnection data. In this paper, we propose a framework for a context-dependent dynamic interconnection method by using the interrelation management function.

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXI
PublisherIOS Press
Pages208-225
Number of pages18
ISBN (Print)9781607500896
DOIs
Publication statusPublished - 2010 Jan 1

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume206
ISSN (Print)0922-6389

Keywords

  • Context dependent
  • Heterogeneous knowledge bases
  • Interconnection of knowledge base
  • Interrelation management function
  • Knowledge sharing and provision

ASJC Scopus subject areas

  • Artificial Intelligence

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