Earticle

초록

영어

Information retrieval is one of the most important technologies at present. We can always
get information in the Internet or distributed computing systems using various information
retrieval models. For searching proper information that we need, it is necessary to construct
efficient information retrieval agent systems helping many web clients’ requests. In this paper,
we propose a simple new model for information retrieval agents based on many terms or
keywords distribution in a document or distributed database. For the key paragraph
extraction we use meaningful term’s frequency and the key word distribution characteristics
in a document, and those terms are selected by using stemming, filtering stop-lists, synonym
for search meaningful terms in a document. The agent receives a web client’s information
retrieval request and extracts key paragraph with frequency and distribution using the
keywords of the client, and then the agent constructs profile of the documents with the
keywords, key paragraph and location address in document for the document browsing. And
then we can search many documents or knowledge easily using the profile for information
retrieval and browse the document.

목차

Abstract
 1. Introduction
 2. Information retrieval and proposed model for agent system
  2.1. Information retrieval
  2.2. Our proposed agent model for information retrieval
 3. Agent systems model based on keywords distribution
  3.1. Agent-1 : Documents analyzing for extraction keyword
  3.2. Agent-2 : Document profiles for summary of the document and browsing
 4. An application and document browsing
  4.1. Processing of extracting keyword and key paragraph
  4.2. Document browsing
 5. Conclusion
 References

저자

• Jae-Woo LEE [ Department of Computer Science & Information, Kyungbok College ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605