Visualizing Document Classification: A Search Aid for the Digital Library
Identifieur interne : 000726 ( Istex/Corpus ); précédent : 000725; suivant : 000727Visualizing Document Classification: A Search Aid for the Digital Library
Auteurs : Yew-Huey Liu ; Paul Dantzig ; Martin Sachs ; Jim Corey ; Mark Hinnebusch ; Marc Damashek ; Jonathan CohenSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1998.
Abstract
Abstract: The recent explosion of the internet has made digital libraries popular. The user-friendly interface of Web browsers allows a user much easier access to the digital library. However, to retrieve relevant documents from the digital library, the user is provided with a search interface consisting of one input field and one push button. Most users type in a single keyword, click the button, and hope for the best. The result of a query using this kind of search interface can consist of a large unordered set of documents, or a ranked list of documents based on the frequency of the keywords. Both lists can contain articles unrelated to user’s inquiry unless a sophisticated search was performed and the user knows exactly what to look for. More sophisticated algorithms for ranking the relevance of search results may help, but what is desperately needed are software tools that can analyze the search result and manipulate large hierarchies of data graphically. In this paper, we present a language-independent document classification system for the Florida Center for Library Automation to help users analyze the search query results. Easy access through the Web is provided, as well as a graphical user interface to display the classification results.
Url:
DOI: 10.1007/3-540-49653-X_33
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Meade, MD</mods:affiliation></affiliation></author><author><name sortKey="Cohen, Jonathan" sort="Cohen, Jonathan" uniqKey="Cohen J" first="Jonathan" last="Cohen">Jonathan Cohen</name><affiliation><mods:affiliation>U.S. Department of Defense, 9800 Savage Road, 20755-6000, Ft. Meade, MD</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>1998</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">2C3AA426A14B9FF66FDB87623B135579A7D9A3F8</idno><idno type="DOI">10.1007/3-540-49653-X_33</idno><idno type="ChapterID">33</idno><idno type="ChapterID">Chap33</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: The recent explosion of the internet has made digital libraries popular. The user-friendly interface of Web browsers allows a user much easier access to the digital library. However, to retrieve relevant documents from the digital library, the user is provided with a search interface consisting of one input field and one push button. Most users type in a single keyword, click the button, and hope for the best. The result of a query using this kind of search interface can consist of a large unordered set of documents, or a ranked list of documents based on the frequency of the keywords. Both lists can contain articles unrelated to user’s inquiry unless a sophisticated search was performed and the user knows exactly what to look for. More sophisticated algorithms for ranking the relevance of search results may help, but what is desperately needed are software tools that can analyze the search result and manipulate large hierarchies of data graphically. In this paper, we present a language-independent document classification system for the Florida Center for Library Automation to help users analyze the search query results. Easy access through the Web is provided, as well as a graphical user interface to display the classification results.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Yew-Huey Liu</name><affiliations><json:string>IBM T.J. Watson Research Center, 30 Saw Mill River Road, 10532, Hawthorne, NY</json:string></affiliations></json:item><json:item><name>Paul Dantzig</name><affiliations><json:string>IBM T.J. Watson Research Center, 30 Saw Mill River Road, 10532, Hawthorne, NY</json:string></affiliations></json:item><json:item><name>Martin Sachs</name><affiliations><json:string>IBM T.J. Watson Research Center, 30 Saw Mill River Road, 10532, Hawthorne, NY</json:string></affiliations></json:item><json:item><name>Jim Corey</name><affiliations><json:string>Florida Center For Library Automation, 2002 NW 13 Street, Suit 320, 32609-3478, Gainsville, FL</json:string></affiliations></json:item><json:item><name>Mark Hinnebusch</name><affiliations><json:string>Florida Center For Library Automation, 2002 NW 13 Street, Suit 320, 32609-3478, Gainsville, FL</json:string></affiliations></json:item><json:item><name>Marc Damashek</name><affiliations><json:string>U.S. Department of Defense, 9800 Savage Road, 20755-6000, Ft. Meade, MD</json:string></affiliations></json:item><json:item><name>Jonathan Cohen</name><affiliations><json:string>U.S. Department of Defense, 9800 Savage Road, 20755-6000, Ft. Meade, MD</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: The recent explosion of the internet has made digital libraries popular. The user-friendly interface of Web browsers allows a user much easier access to the digital library. However, to retrieve relevant documents from the digital library, the user is provided with a search interface consisting of one input field and one push button. Most users type in a single keyword, click the button, and hope for the best. The result of a query using this kind of search interface can consist of a large unordered set of documents, or a ranked list of documents based on the frequency of the keywords. Both lists can contain articles unrelated to user’s inquiry unless a sophisticated search was performed and the user knows exactly what to look for. More sophisticated algorithms for ranking the relevance of search results may help, but what is desperately needed are software tools that can analyze the search result and manipulate large hierarchies of data graphically. In this paper, we present a language-independent document classification system for the Florida Center for Library Automation to help users analyze the search query results. 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DisplayOrder="Western"><GivenName>Yew-Huey</GivenName><FamilyName>Liu</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff4"><AuthorName DisplayOrder="Western"><GivenName>Paul</GivenName><FamilyName>Dantzig</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff4"><AuthorName DisplayOrder="Western"><GivenName>Martin</GivenName><FamilyName>Sachs</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>Jim</GivenName><FamilyName>Corey</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>Mark</GivenName><FamilyName>Hinnebusch</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Marc</GivenName><FamilyName>Damashek</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Jonathan</GivenName><FamilyName>Cohen</FamilyName></AuthorName></Author><Affiliation ID="Aff4"><OrgName>IBM T.J. Watson Research Center</OrgName><OrgAddress><Street>30 Saw Mill River Road</Street><City>Hawthorne</City><State>NY</State><Postcode>10532</Postcode></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>Florida Center For Library Automation</OrgName><OrgAddress><Street>2002 NW 13 Street, Suit 320</Street><City>Gainsville</City><State>FL</State><Postcode>32609-3478</Postcode></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>U.S. Department of Defense</OrgName><OrgAddress><Street>9800 Savage Road</Street><City>Ft. Meade</City><State>MD</State><Postcode>20755-6000</Postcode></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The recent explosion of the internet has made digital libraries popular. The user-friendly interface of Web browsers allows a user much easier access to the digital library. However, to retrieve relevant documents from the digital library, the user is provided with a search interface consisting of one input field and one push button. Most users type in a single keyword, click the button, and hope for the best. The result of a query using this kind of search interface can consist of a large unordered set of documents, or a ranked list of documents based on the frequency of the keywords. Both lists can contain articles unrelated to user’s inquiry unless a sophisticated search was performed and the user knows exactly what to look for. More sophisticated algorithms for ranking the relevance of search results may help, but what is desperately needed are software tools that can analyze the search result and manipulate large hierarchies of data graphically. In this paper, we present a language-independent document classification system for the Florida Center for Library Automation to help users analyze the search query results. Easy access through the Web is provided, as well as a graphical user interface to display the classification results. </Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Visualizing Document Classification: A Search Aid for the Digital Library</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Visualizing Document Classification: A Search Aid for the Digital Library</title></titleInfo><name type="personal"><namePart type="given">Yew-Huey</namePart><namePart type="family">Liu</namePart><affiliation>IBM T.J. Watson Research Center, 30 Saw Mill River Road, 10532, Hawthorne, NY</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Dantzig</namePart><affiliation>IBM T.J. Watson Research Center, 30 Saw Mill River Road, 10532, Hawthorne, NY</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Martin</namePart><namePart type="family">Sachs</namePart><affiliation>IBM T.J. Watson Research Center, 30 Saw Mill River Road, 10532, Hawthorne, NY</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jim</namePart><namePart type="family">Corey</namePart><affiliation>Florida Center For Library Automation, 2002 NW 13 Street, Suit 320, 32609-3478, Gainsville, FL</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Mark</namePart><namePart type="family">Hinnebusch</namePart><affiliation>Florida Center For Library Automation, 2002 NW 13 Street, Suit 320, 32609-3478, Gainsville, FL</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Marc</namePart><namePart type="family">Damashek</namePart><affiliation>U.S. Department of Defense, 9800 Savage Road, 20755-6000, Ft. Meade, MD</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jonathan</namePart><namePart type="family">Cohen</namePart><affiliation>U.S. Department of Defense, 9800 Savage Road, 20755-6000, Ft. Meade, MD</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">1998</dateIssued><copyrightDate encoding="w3cdtf">1998</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: The recent explosion of the internet has made digital libraries popular. The user-friendly interface of Web browsers allows a user much easier access to the digital library. However, to retrieve relevant documents from the digital library, the user is provided with a search interface consisting of one input field and one push button. Most users type in a single keyword, click the button, and hope for the best. The result of a query using this kind of search interface can consist of a large unordered set of documents, or a ranked list of documents based on the frequency of the keywords. Both lists can contain articles unrelated to user’s inquiry unless a sophisticated search was performed and the user knows exactly what to look for. More sophisticated algorithms for ranking the relevance of search results may help, but what is desperately needed are software tools that can analyze the search result and manipulate large hierarchies of data graphically. In this paper, we present a language-independent document classification system for the Florida Center for Library Automation to help users analyze the search query results. Easy access through the Web is provided, as well as a graphical user interface to display the classification results.</abstract><relatedItem type="host"><titleInfo><title>Research and Advanced Technology for Digital Libraries</title><subTitle>Second European Conference, ECDL’98 Heraklion, Crete, Greece September 21–23, 1998 Proceedings</subTitle></titleInfo><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">1998</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18008">Information Systems and Communication Service</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I21033">Document Preparation and Text Processing</topic><topic authority="SpringerSubjectCodes" authorityURI="W26007">Business Information Systems</topic></subject><identifier type="DOI">10.1007/3-540-49653-X</identifier><identifier type="ISBN">978-3-540-65101-7</identifier><identifier type="eISBN">978-3-540-49653-3</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">59030</identifier><identifier type="BookID">3-540-49653-X</identifier><identifier type="BookChapterCount">91</identifier><identifier type="BookVolumeNumber">1513</identifier><identifier type="BookSequenceNumber">1513</identifier><identifier type="PartChapterCount">34</identifier><part><date>1998</date><detail type="part"><title>Papers</title></detail><detail type="volume"><number>1513</number><caption>vol.</caption></detail><extent unit="pages"><start>555</start><end>567</end></extent></part><recordInfo><recordOrigin>Springer-VerlagBerlin Heidelberg, 1998</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate 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