Earticle

초록

영어

In this paper, multi-intelligent agent architecture has been proposed for automatic knowledge extraction from its resources (domain experts and text documents). The extracted knowledge should be stored in a knowledge base to be used later by knowledge-based systems. This article aims to produce an effective knowledge base by cooperation between expert mining and text mining techniques. Firstly, we are constructing an Expert Mining Intelligent Agent (EMIA) able to interview with domain experts for mining problem solving knowledge as production rules in a specific diagnosis domain. It is also responsible for extracting the patterns or linguistic expressions and save it in a conceptual database. Secondly, we are constructing a Text Mining Intelligent Agent (TMIA) capable of extracting production rules from a text document corpus. The achievement of that extraction can be performed by a text document categorization based on a traditional term weighting scheme (TF-IDF) and using the Stanford parser to analyze and produce a parsing tree for each sentence in that document. Then, the TMIA looks for all causal words and takes them as separation words to generate patterns and sub-patterns based on the conceptual database. Finally, the TMIA stores those patterns and sub-patterns in a pre-formatted template and displays it to a domain expert for a modification process to construct accurate production rule.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Intelligent agent in KA and IE
  2.2. Knowledge extraction from text documents
 3. Knowledge Engineering
  3.1. Knowledge acquisition
  3.2. Knowledge representation
  3.3. Domain problem specification
 4. Overall Proposed System Architecture
  4.1. Expert Mining Intelligent Agent (EMIA)
  4.2. Text Mining Intelligent Agent (TMIA)
 5. Knowledge Base Completeness and Consistency
 6. System Evaluation
 7. Conclusions
 References

키워드

저자

• Mohammed Abbas Kadhim [ Department of Computer Science, Hamdard University, New Delhi, India, College of Computer Science and Mathematics, University of Al-Qadisiyah, Iraq ]
• M. Afshar Alam [ Department of Computer Science, Hamdard University, New Delhi, India ]
• Harleen Kaur [ Department of Computer Science, Hamdard University, New Delhi, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605