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

Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, Yasushi Kiyoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXI
出版社IOS Press
ページ208-225
ページ数18
ISBN(印刷版)9781607500896
DOI
出版ステータスPublished - 2010 1 1

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
206
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • 人工知能

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