Bio-textual deep web search system based on keyword networks = 키워드 네트워크에 기반한 바이오텍스트 딥웹 검색 시스템

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The Internet has been rapidly “deepened” by the prevalence of online databases. With the potentially unlimited information hidden behind their query interfaces, this “Deep Web” of searchable databases is clearly an important frontier for data access. Bioinformatics community has witnessed the growing of deep web and research conducted upon it. Several researches have started upon this relatively unexplored frontier, meta-searcher, database content detection, HTML search form analysis and database raw file merging. Each of them has their own inherited advantages and disadvantages. Based on our new finding of Keyword Networks, we proposed a novel approach to index heterogeneous Deep Web resources. Inheriting form concept of “Six Degrees of Separation”, our implementation has shown its prominent ability of retrieving textual documents from domain specific Deep Web resources. It is capable of integrating state of art deep web contents with minimum human interference and easy to implement on current search engine systems.
Advisors
Lee, Do-Heonresearcher이도헌researcher
Description
한국과학기술원 : 바이오시스템학과,
Publisher
한국과학기술원
Issue Date
2005
Identifier
243660/325007  / 020034325
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2005.2, [ v, 34 p. ]

Keywords

Keyword Networks; Textual Database; Database Integration; 딥웹; 키워드 네크워크; Information Retrieval; Deep Web

URI
http://hdl.handle.net/10203/27103
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=243660&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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