Comparison of Two Approaches to Building a Vertical Search Tool: A Case Study in the Nanotechnology Domain

Persistent Link:
http://hdl.handle.net/10150/105990
Title:
Comparison of Two Approaches to Building a Vertical Search Tool: A Case Study in the Nanotechnology Domain
Author:
Chau, Michael; Chen, Hsinchun; Qin, Jailun; Zhou, Yilu; Qin, Yi; Sung, Wai-Ki; McDonald, Daniel M.
Citation:
Comparison of Two Approaches to Building a Vertical Search Tool: A Case Study in the Nanotechnology Domain 2002,
Publisher:
ACM/IEEE-CS
Issue Date:
2002
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105990
Submitted date:
2004-09-09
Abstract:
As the Web has been growing exponentially, it has become increasingly difficult to search for desired information. In recent years, many domain-specific (vertical) search tools have been developed to serve the information needs of specific fields. This paper describes two approaches to building a domain-specific search tool. We report our experience in building two different tools in the nanotechnology domain - (1) a server-side search engine, and (2) a client-side search agent. The designs of the two search systems are presented and discussed, and their strengths and weaknesses are compared. Some future research directions are also discussed.
Type:
Conference Paper
Language:
en
Keywords:
Internet; Digital Libraries; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Information retrieval; Web search engine; Vertical search engine; Internet spider; Internet searching and browsing; Post-retrieval analysis; Indexing; Noun-phrasing; Selforganizing map; Personalization; Summarization

Full metadata record

DC FieldValue Language
dc.contributor.authorChau, Michaelen_US
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorQin, Jailunen_US
dc.contributor.authorZhou, Yiluen_US
dc.contributor.authorQin, Yien_US
dc.contributor.authorSung, Wai-Kien_US
dc.contributor.authorMcDonald, Daniel M.en_US
dc.date.accessioned2004-09-09T00:00:01Z-
dc.date.available2010-06-18T23:37:50Z-
dc.date.issued2002en_US
dc.date.submitted2004-09-09en_US
dc.identifier.citationComparison of Two Approaches to Building a Vertical Search Tool: A Case Study in the Nanotechnology Domain 2002,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105990-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractAs the Web has been growing exponentially, it has become increasingly difficult to search for desired information. In recent years, many domain-specific (vertical) search tools have been developed to serve the information needs of specific fields. This paper describes two approaches to building a domain-specific search tool. We report our experience in building two different tools in the nanotechnology domain - (1) a server-side search engine, and (2) a client-side search agent. The designs of the two search systems are presented and discussed, and their strengths and weaknesses are compared. Some future research directions are also discussed.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherACM/IEEE-CSen_US
dc.subjectInterneten_US
dc.subjectDigital Librariesen_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.otherWeb search engineen_US
dc.subject.otherVertical search engineen_US
dc.subject.otherInternet spideren_US
dc.subject.otherInternet searching and browsingen_US
dc.subject.otherPost-retrieval analysisen_US
dc.subject.otherIndexingen_US
dc.subject.otherNoun-phrasingen_US
dc.subject.otherSelforganizing mapen_US
dc.subject.otherPersonalizationen_US
dc.subject.otherSummarizationen_US
dc.titleComparison of Two Approaches to Building a Vertical Search Tool: A Case Study in the Nanotechnology Domainen_US
dc.typeConference Paperen_US
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