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dc.contributor.authorChen, Hsinchun*
dc.contributor.authorRamsey, Marshall C.*
dc.contributor.authorLi, P.*
dc.contributor.editorGamriella, P.en_US
dc.contributor.editorCrestani, F.en_US
dc.date.accessioned2004-10-01T00:00:01Z
dc.date.available2010-06-18T23:24:21Z
dc.date.issued2000en_US
dc.date.submitted2004-10-01en_US
dc.identifier.citationThe Java Search Agent Workshop 2000, :122-140 Soft Combining in Information Retrievalen_US
dc.identifier.urihttp://hdl.handle.net/10150/105368
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractAs part of the ongoing Illinois Digital Library Initiative project, this paper presents the Java Search Agent Workshop (JSAW), a testbed designed for Java-based information searching. Based on artificial intelligence, neural networks, and G-Search, we implemented several search methods in Java to demonstrate their feasibility in various database, Internet, Intranet, and digital library search tasks. In addition to detailing our design rationale and implementation status, we present several sample Java implementations including a best first search spider and G-Search spider for Internet searching, and a Hopfield neural network based visualizer for database searching. Lessons learned and future directions are also presented.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherPhysica-Verlagen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDigital Librariesen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.titleThe Java Search Agent Workshopen_US
dc.typeBook Chapteren_US
dc.identifier.journalSoft Combining in Information Retrievalen_US
refterms.dateFOA2018-08-16T23:42:24Z
html.description.abstractAs part of the ongoing Illinois Digital Library Initiative project, this paper presents the Java Search Agent Workshop (JSAW), a testbed designed for Java-based information searching. Based on artificial intelligence, neural networks, and G-Search, we implemented several search methods in Java to demonstrate their feasibility in various database, Internet, Intranet, and digital library search tasks. In addition to detailing our design rationale and implementation status, we present several sample Java implementations including a best first search spider and G-Search spider for Internet searching, and a Hopfield neural network based visualizer for database searching. Lessons learned and future directions are also presented.


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