The Web in 2010: Challenges and Opportunities for Database Research
Identifieur interne : 000208 ( Istex/Corpus ); précédent : 000207; suivant : 000209The Web in 2010: Challenges and Opportunities for Database Research
Auteurs : Gerhard WeikumSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
English descriptors
- Teeft :
- Active streams, Admission control, Application programs need, Application server, Authority assessment, Better search result quality, Building blocks, Cherno, Computer science, Concurrency control, Content provider, Content providers, Continuous availability, Coral reef, Data graph, Database, Database research, Database system, Database systems, Database technology, Deep search, Digital libraries, Discrete data, Document, Downtime, Element names, Element paths, Element variables, Elusive goal, Engineering rule, Gerhard, Gerhard weikum, Grand challenge, Grand challenges, Great synergy, Guarantee, Ieee data engineering bulletin, Ieee internet, Index lookups, Index structures, Information discovery, Information retrieval, Information retrieval technology, Information services, Information sources, Information systems, Information technology, Intelligent search, Internet, Intranet, Large deviation theory, Large extent, Large number, Load peaks, Main problem, Maximum number, Media server, Metrics, Morgan kaufmann, Multimedia, Next decade, Ontology, Other hand, Overall system, Percent availability, Performance evaluation, Performance guarantees, Poisson arrivals, Poor performance, Prentice hall, Provider, Quality guarantees, Query, Query language, Query languages, Query processing, Rapid growth, Real system, Relevance scores, Relevant documents, Research avenues, Response time, Response time distribution, Response time guarantees, Retrieval, Richer annotations, Round length, Sample documents, Search engine, Search engines, Search result, Search results, Server, Server resources, Service quality, Sigmod conference, Sigmod record, Similarity score, Similarity search, Special issue, Stochastic, Stochastic manner, Stochastic model, Such guarantees, Support vector machines, Term frequency, Total size, Useful results, User, Vacation destinations, Vector space model, Vldb journal, Weikum, Word occurrences, Workload.
Abstract
Abstract: The impressive advances in global networking and information technology provide great opportunities for all kinds of Web-based information services, ranging from digital libraries and information discovery to virtual-enterprise workflows and electronic commerce. However, many of these services still exhibit rather poor quality in terms of unacceptable performance during load peaks, frequent and long outages, and unsatisfactory search results.F or the next decade, the overriding goal of database research should be to provide means for building zero-administration, self-tuning information services with predictable response time, virtually continuous availability, and, ultimately, “moneyback” service-quality guarantees.A particularly challenging aspect of this theme is the quality of search results in digital libraries, scientific data repositories, and on the Web. To aim for more intelligent search that can truly find needles in haystacks, classical information retrieval methods should be integrated with querying capabilities for structurally richer Web data, most notably XML data, and automatic classi.cation methods based on standardized ontologies and statistical machine learning. This paper gives an overview of promising research directions along these lines.
Url:
DOI: 10.1007/3-540-44577-3_1
Links to Exploration step
ISTEX:14BEF2208156A566BB17F2D31656067F67AAA95DLe document en format XML
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However, many of these services still exhibit rather poor quality in terms of unacceptable performance during load peaks, frequent and long outages, and unsatisfactory search results.F or the next decade, the overriding goal of database research should be to provide means for building zero-administration, self-tuning information services with predictable response time, virtually continuous availability, and, ultimately, “moneyback” service-quality guarantees.A particularly challenging aspect of this theme is the quality of search results in digital libraries, scientific data repositories, and on the Web. To aim for more intelligent search that can truly find needles in haystacks, classical information retrieval methods should be integrated with querying capabilities for structurally richer Web data, most notably XML data, and automatic classi.cation methods based on standardized ontologies and statistical machine learning. 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BookProductType="Proceedings" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" TocLevels="0"><BookID>3-540-44577-3</BookID><BookTitle>Informatics</BookTitle><BookSubTitle>10 Years Back, 10 Years Ahead</BookSubTitle><BookVolumeNumber>2000</BookVolumeNumber><BookSequenceNumber>2000</BookSequenceNumber><BookDOI>10.1007/3-540-44577-3</BookDOI><BookTitleID>66982</BookTitleID><BookPrintISBN>978-3-540-41635-7</BookPrintISBN><BookElectronicISBN>978-3-540-44577-7</BookElectronicISBN><BookChapterCount>25</BookChapterCount><BookHistory><OnlineDate><Year>2001</Year><Month>3</Month><Day>29</Day></OnlineDate></BookHistory><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2001</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I14002" Priority="1" Type="Secondary">Software Engineering/Programming and Operating Systems</BookSubject><BookSubject Code="I16005" Priority="2" Type="Secondary">Theory of Computation</BookSubject><BookSubject Code="I18008" Priority="3" Type="Secondary">Information Systems and Communication Service</BookSubject><BookSubject Code="I21009" Priority="4" Type="Secondary">Computing Methodologies</BookSubject><BookSubject Code="I13006" Priority="5" Type="Secondary">Computer Systems Organization and Communication Networks</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Reinhard</GivenName><FamilyName>Wilhelm</FamilyName></EditorName><Contact><Email>wilhelm@cs.uni-sb.de</Email></Contact></Editor><Affiliation ID="Aff4"><OrgDivision>FR Informatik</OrgDivision><OrgName>Universität des Saarlandes</OrgName><OrgAddress><Street>Postfach 15 11 50</Street><Postcode>66041</Postcode><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>The Web</PartTitle><PartChapterCount>6</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookID>3-540-44577-3</BookID><BookTitle>Informatics</BookTitle></PartContext></PartInfo><SubPart ID="SubPart1"><SubPartInfo><SubPartID>1</SubPartID><SubPartSequenceNumber>1</SubPartSequenceNumber><SubPartTitle>...How to Make the Best Use of It</SubPartTitle><SubPartChapterCount>2</SubPartChapterCount></SubPartInfo><Chapter ID="Chap1" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" Language="En" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>1</ChapterID><ChapterDOI>10.1007/3-540-44577-3_1</ChapterDOI><ChapterSequenceNumber>1</ChapterSequenceNumber><ChapterTitle Language="En">The Web in 2010: Challenges and Opportunities for Database Research</ChapterTitle><ChapterFirstPage>1</ChapterFirstPage><ChapterLastPage>23</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2001</CopyrightYear></ChapterCopyright><ChapterHistory><RegistrationDate><Year>2001</Year><Month>3</Month><Day>28</Day></RegistrationDate><OnlineDate><Year>2001</Year><Month>3</Month><Day>29</Day></OnlineDate></ChapterHistory><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><SubPartID>1</SubPartID><BookID>3-540-44577-3</BookID><BookTitle>Informatics</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></AuthorName><Contact><Email>weikum@cs.uni-sb.de</Email><URL>http://www-dbs.cs.uni-sb.de/</URL></Contact></Author><Affiliation ID="Aff5"><OrgName>University of the Saarland</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The impressive advances in global networking and information technology provide great opportunities for all kinds of Web-based information services, ranging from digital libraries and information discovery to virtual-enterprise workflows and electronic commerce. However, many of these services still exhibit rather poor quality in terms of unacceptable performance during load peaks, frequent and long outages, and unsatisfactory search results.F or the next decade, the overriding goal of database research should be to provide means for building zero-administration, self-tuning information services with predictable response time, virtually continuous availability, and, ultimately, “moneyback” service-quality guarantees.A particularly challenging aspect of this theme is the quality of search results in digital libraries, scientific data repositories, and on the Web. To aim for more intelligent search that can truly find needles in haystacks, classical information retrieval methods should be integrated with querying capabilities for structurally richer Web data, most notably XML data, and automatic classi.cation methods based on standardized ontologies and statistical machine learning. This paper gives an overview of promising research directions along these lines.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The Web in 2010: Challenges and Opportunities for Database Research</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The Web in 2010: Challenges and Opportunities for Database Research</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>University of the Saarland, Saarbrücken, Germany</affiliation><affiliation>E-mail: weikum@cs.uni-sb.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="proceedings"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2001-03-29</dateIssued><copyrightDate encoding="w3cdtf">2001</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 impressive advances in global networking and information technology provide great opportunities for all kinds of Web-based information services, ranging from digital libraries and information discovery to virtual-enterprise workflows and electronic commerce. However, many of these services still exhibit rather poor quality in terms of unacceptable performance during load peaks, frequent and long outages, and unsatisfactory search results.F or the next decade, the overriding goal of database research should be to provide means for building zero-administration, self-tuning information services with predictable response time, virtually continuous availability, and, ultimately, “moneyback” service-quality guarantees.A particularly challenging aspect of this theme is the quality of search results in digital libraries, scientific data repositories, and on the Web. To aim for more intelligent search that can truly find needles in haystacks, classical information retrieval methods should be integrated with querying capabilities for structurally richer Web data, most notably XML data, and automatic classi.cation methods based on standardized ontologies and statistical machine learning. This paper gives an overview of promising research directions along these lines.</abstract><relatedItem type="host"><titleInfo><title>Informatics</title><subTitle>10 Years Back, 10 Years Ahead</subTitle></titleInfo><name type="personal"><namePart type="given">Reinhard</namePart><namePart type="family">Wilhelm</namePart><affiliation>FR Informatik, Universität des Saarlandes, Postfach 15 11 50, 66041, Saarbrücken, Germany</affiliation><affiliation>E-mail: wilhelm@cs.uni-sb.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2001</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="I14002">Software Engineering/Programming and Operating Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I16005">Theory of Computation</topic><topic authority="SpringerSubjectCodes" authorityURI="I18008">Information Systems and Communication Service</topic><topic authority="SpringerSubjectCodes" authorityURI="I21009">Computing Methodologies</topic><topic authority="SpringerSubjectCodes" authorityURI="I13006">Computer Systems Organization and Communication Networks</topic></subject><identifier type="DOI">10.1007/3-540-44577-3</identifier><identifier type="ISBN">978-3-540-41635-7</identifier><identifier type="eISBN">978-3-540-44577-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="BookTitleID">66982</identifier><identifier type="BookID">3-540-44577-3</identifier><identifier type="BookChapterCount">25</identifier><identifier type="BookVolumeNumber">2000</identifier><identifier type="BookSequenceNumber">2000</identifier><identifier type="PartChapterCount">6</identifier><part><date>2001</date><detail type="part"><title>The Web</title></detail><detail type="volume"><number>2000</number><caption>vol.</caption></detail><extent unit="pages"><start>1</start><end>23</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2001</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 encoding="w3cdtf">2001</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2001</recordOrigin></recordInfo></relatedItem><identifier type="istex">14BEF2208156A566BB17F2D31656067F67AAA95D</identifier><identifier type="DOI">10.1007/3-540-44577-3_1</identifier><identifier type="ChapterID">1</identifier><identifier type="ChapterID">Chap1</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2001</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2001</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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