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

Author

Guogang Tian

Author_Institution

Key Lab. of Intelligent Inf., Chinese Acad. of Sci., Beijing

Volume

2

fYear

2005

fDate

28-30 Nov. 2005

Firstpage

704

Lastpage

709

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

Keywords

knowledge acquisition; multi-agent systems; natural languages; ontologies (artificial intelligence); text analysis; KARO; KATA; MAKAT; NKI; knowledge acquisition; national knowledge infrastructure; ontology-driven multiagent architecture; text analysis KATO; three-tier model; Computer architecture; Encyclopedias; Information processing; Knowledge acquisition; Laboratories; Large-scale systems; Multiagent systems; Natural languages; Ontologies; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Vienna

Print_ISBN

0-7695-2504-0

Type

conf

DOI

10.1109/CIMCA.2005.1631551

Filename

1631551