Persistent Link:
http://hdl.handle.net/10150/105809
Title:
Semantic Research for Digital Libraries
Author:
Chen, Hsinchun
Citation:
Semantic Research for Digital Libraries 1999-10, 5(10/11) D-Lib Magazine
Journal:
D-Lib Magazine
Issue Date:
Oct-1999
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105809
Submitted date:
2004-09-04
Abstract:
As applications become more pervasive, pressing, and diverse, several well-known information retrieval (IR) problems have become even more urgent. Information overload, a result of the ease of information creation and transmission via the Internet and WWW, has become more troublesome (e.g., even stockbrokers and elementary school students, heavily exposed to various WWW search engines, are versed in such IR terminology as recall and precision). Significant variations in database formats and structures, the richness of information media (text, audio, and video), and an abundance of multilingual information content also have created severe information interoperability problems -- structural interoperability, media interoperability, and multilingual interoperability.
Type:
Journal Article (On-line/Unpaginated)
Language:
en
Keywords:
Digital Libraries; Information Extraction
Local subject classification:
National Science Digital Library; NSDL; Artificial intelligence lab; AI lab; Evaluation

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.date.accessioned2004-09-04T00:00:01Z-
dc.date.available2010-06-18T23:34:47Z-
dc.date.issued1999-10en_US
dc.date.submitted2004-09-04en_US
dc.identifier.citationSemantic Research for Digital Libraries 1999-10, 5(10/11) D-Lib Magazineen_US
dc.identifier.urihttp://hdl.handle.net/10150/105809-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractAs applications become more pervasive, pressing, and diverse, several well-known information retrieval (IR) problems have become even more urgent. Information overload, a result of the ease of information creation and transmission via the Internet and WWW, has become more troublesome (e.g., even stockbrokers and elementary school students, heavily exposed to various WWW search engines, are versed in such IR terminology as recall and precision). Significant variations in database formats and structures, the richness of information media (text, audio, and video), and an abundance of multilingual information content also have created severe information interoperability problems -- structural interoperability, media interoperability, and multilingual interoperability.en_US
dc.format.mimetypetext/htmlen_US
dc.language.isoenen_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.otherEvaluationen_US
dc.titleSemantic Research for Digital Librariesen_US
dc.typeJournal Article (On-line/Unpaginated)en_US
dc.identifier.journalD-Lib Magazineen_US
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