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Conference Paper: Intelligent spider for Internet searching

TitleIntelligent spider for Internet searching
Authors
KeywordsComputers
Computer systems
Issue Date1997
PublisherIEEE, Computer Society. The Journal's web site is located at http://csdl2.computer.org/persagen/DLPublication.jsp?pubtype=p&acronym=HICSS
Citation
The 30th Annual Hawaii International Conference on System Sciences Proceedings, Wailea, Hawaii, 7-10 January 1997, v. 4, p. 178-188 How to Cite?
AbstractAs World Wide Web (WWW) based Internet services become more popular, information overload also becomes a pressing research problem. Difficulties with searching on the Internet get worse as the amount of information that is available increases. A scalable approach to support Internet search is critical to the success of Internet services and other current or future national information infrastructure (NII) applications. A new approach to build an intelligent personal spider (agent), which is based on automatic textual analysis of Internet documents, is proposed. Best first search and genetic algorithm have been tested to develop the intelligent spider. These personal spiders are able to dynamically and intelligently analyze the contents of the users' selected homepages as the starting point to search for the most relevant homepages based on the links and indexing. An intelligent spider must have the capability to make adjustments according to progress of searching in order to be an intelligent agent. However, the current searching engines do not have communication between the users and the robots. The spider presented in the paper uses Java to develop the user interface such that the users can adjust the control parameters according to the progress and observe the intermediate results. The performances of the genetic algorithm based and best first search based spiders are also reported.
Persistent Identifierhttp://hdl.handle.net/10722/45580
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChen, HCen_HK
dc.contributor.authorChung, YMen_HK
dc.contributor.authorRamsey, Men_HK
dc.contributor.authorYang, CCen_HK
dc.contributor.authorMa, PCen_HK
dc.contributor.authorYen, JCHen_HK
dc.date.accessioned2007-10-30T06:29:38Z-
dc.date.available2007-10-30T06:29:38Z-
dc.date.issued1997en_HK
dc.identifier.citationThe 30th Annual Hawaii International Conference on System Sciences Proceedings, Wailea, Hawaii, 7-10 January 1997, v. 4, p. 178-188en_HK
dc.identifier.issn1060-3425en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45580-
dc.description.abstractAs World Wide Web (WWW) based Internet services become more popular, information overload also becomes a pressing research problem. Difficulties with searching on the Internet get worse as the amount of information that is available increases. A scalable approach to support Internet search is critical to the success of Internet services and other current or future national information infrastructure (NII) applications. A new approach to build an intelligent personal spider (agent), which is based on automatic textual analysis of Internet documents, is proposed. Best first search and genetic algorithm have been tested to develop the intelligent spider. These personal spiders are able to dynamically and intelligently analyze the contents of the users' selected homepages as the starting point to search for the most relevant homepages based on the links and indexing. An intelligent spider must have the capability to make adjustments according to progress of searching in order to be an intelligent agent. However, the current searching engines do not have communication between the users and the robots. The spider presented in the paper uses Java to develop the user interface such that the users can adjust the control parameters according to the progress and observe the intermediate results. The performances of the genetic algorithm based and best first search based spiders are also reported.en_HK
dc.format.extent2023417 bytes-
dc.format.extent3193 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://csdl2.computer.org/persagen/DLPublication.jsp?pubtype=p&acronym=HICSSen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectComputersen_HK
dc.subjectComputer systemsen_HK
dc.titleIntelligent spider for Internet searchingen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1060-3425&volume=4&spage=178&epage=188&date=1997&atitle=Intelligent+spider+for+Internet+searchingen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/HICSS.1997.663379en_HK
dc.identifier.hkuros27852-

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