An Ontology-Driven Multi-Agent Architecture for Knowledge Acquisition from Text in NKI

Authors:
Guogang Tian;Cungen Cao
Affiliations:
Graduate University of the Chinese Academy of Sciences;Processing, Institute of Computing Technology, Chinese Academy of Sciences
Venue:
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Year:
2005

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Abstract

NKI contains a multi-domain oriented and large scale knowledge base. Text corpus is an important knowledge source of it. This paper presents an ontology-driven and integrated multi-agent architecture (MAKAT) for achieving sharing and reuse among different kinds of knowledge acquisition in NKI. MAKAT is a three-tier model which involves KATO, KARO, KATA, among which the description and execution layer are discussed in detail. Finally, we utilize the MAKAT model to acquire two different relations: part-of relation and hyponymy. It is observed that the MAKAT model can provide sharing and reuse in these two different cases.