• Title/Summary/Keyword: 선박매매 정보 추출 에이전트

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Design for Information Retrieving Agent System for Ship Sale and Purchase (선박매매정보 추출 에이전트 시스템 구조 설계에 관한 연구)

  • Park, Nam-Kyu
    • Journal of Navigation and Port Research
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    • v.26 no.3
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    • pp.337-344
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    • 2002
  • Although the number of site for ship sale and purchase are increasing year by year, we can not find the agent system for retrieving the necessary data automatically and efficiently. The object of this paper is to find the design structure of the intelligent agent systems by using wrapper technology. This paper is composed of two contents : design of retrieving system for agent and its application to ship sale and purchase. This paper will be evaluated in terms that its target domain is ship sale and purchase. In the result of the study, agent process is composed of reading URL, taking the source data, processing tag, pattern analysis, and storing the contents analysed.

A Study on the Implementation of Information Extraction Agency for Ship Sale and Purchase using Content Based Retrieval (내용기반 검색을 이용한 선박매매 정보추출 에이전트의 구현에 관한 연구)

  • Ha, Chang-Seung;Jung, Lee-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.43-50
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    • 2007
  • Delay in the process of Information Extraction, IE, is largely due to inability to correctly recognize the user's information requirement of particular search factors. Especially if the wrapper rules are used in a search engine, the search generally fails to classify internet documents properly and efficiently since the application of the same wrapper rules lacks extensibility throughout various types of existing internet document. In case of buying or selling a ship, if the price range, type. place of delivery, inspection site and other information relevant to the sales would be available through the internet for proper retrieval the sales could more readily succeed by using Ontology relating to sales or purchase information and by selectively searching for the desired information through the content based retrieval system. This system proposes to improve various wrapper systems existing throughout different internet sites and to eliminate unnecessary information tagged on the existing internet documents in order to create a more advanced information retrieval system.

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