Intelligent internet searching agent based on hybrid simulated annealing

Persistent Link:
http://hdl.handle.net/10150/106492
Title:
Intelligent internet searching agent based on hybrid simulated annealing
Author:
Yang, Christopher C.; Yen, Jerome; Chen, Hsinchun
Citation:
Intelligent internet searching agent based on hybrid simulated annealing 2000, 28:269-277 Decision Support Systems
Publisher:
Elsevier
Journal:
Decision Support Systems
Issue Date:
2000
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106492
Submitted date:
2004-09-04
Abstract:
The World-Wide Web WWW based Internet services have become a major channel for information delivery. For the same reason, information overload also has become a serious problem to the users of such services. It has been estimated that the amount of information stored on the Internet doubled every 18 months. The speed of increase of homepages can be even faster, some people estimated that it doubled every 6 months. Therefore, a scalable approach to support Internet searching is critical to the success of Internet services and other current or future National Information Infrastructure NII applications. In this paper, we discuss a modified version of simulated annealing algorithm to develop an intelligent personal spider agent, which is based on automatic textual analysis of the Internet documents and hybrid simulated annealing.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Internet; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Information retrieval; Intelligent agent; Searching agent; Simulated annealing; World-wide Web

Full metadata record

DC FieldValue Language
dc.contributor.authorYang, Christopher C.en_US
dc.contributor.authorYen, Jeromeen_US
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-09-04T00:00:01Z-
dc.date.available2010-06-18T23:48:25Z-
dc.date.issued2000en_US
dc.date.submitted2004-09-04en_US
dc.identifier.citationIntelligent internet searching agent based on hybrid simulated annealing 2000, 28:269-277 Decision Support Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/106492-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractThe World-Wide Web WWW based Internet services have become a major channel for information delivery. For the same reason, information overload also has become a serious problem to the users of such services. It has been estimated that the amount of information stored on the Internet doubled every 18 months. The speed of increase of homepages can be even faster, some people estimated that it doubled every 6 months. Therefore, a scalable approach to support Internet searching is critical to the success of Internet services and other current or future National Information Infrastructure NII applications. In this paper, we discuss a modified version of simulated annealing algorithm to develop an intelligent personal spider agent, which is based on automatic textual analysis of the Internet documents and hybrid simulated annealing.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectInterneten_US
dc.subjectInformation Extractionen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.subject.otherIntelligent agenten_US
dc.subject.otherSearching agenten_US
dc.subject.otherSimulated annealingen_US
dc.subject.otherWorld-wide Weben_US
dc.titleIntelligent internet searching agent based on hybrid simulated annealingen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalDecision Support Systemsen_US
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