Towards a Statistically Semantic Web
Identifieur interne : 001744 ( Istex/Corpus ); précédent : 001743; suivant : 001745Towards a Statistically Semantic Web
Auteurs : Gerhard Weikum ; Jens Graupmann ; Ralf Schenkel ; Martin TheobaldSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
English descriptors
- Teeft :
- Algorithm, American society, Anja theobald, Annotation, Background knowledge, Christian zimmer, Click streams, Complex operator trees, Corpus statistics, Data collections, Database, Digital libraries, Document collections, Gene expression data, Gerhard, Gerhard weikum, High dynamics, Holger meuss, Index list, Index lists, Information extraction, Information retrieval, Information science, Information search, Intelligent search, International workshop, Jens graupmann, Keyword search, Large result lists, Latter case, Lise getoor, Lower bounds, Markov models, Martin theobald, Matthias bender, Natural language, Norbert fuhr, Ontological similarity, Ontology, Original query, Previous section, Probabilistic, Probabilistic guarantees, Query, Query conditions, Query expansion, Query languages, Query logs, Query processing, Ralf schenkel, Random accesses, Random surfer, Random variables, Relevance feedback, Relevant pages, Retrieval, Rich body, Schema, Score distributions, Scottish nobleman, Search engine, Search engines, Semantic, Semantic relationships, Sigir, Sigir workshop, Similarity operator, Springer, Statistical information, Statistical reasoning, Steffen staab, Theobald, Torsten schlieder, Total score, Unknown scores, Upper bounds, User, User behavior, Valuable information, Vldb, Vldb journal, Weikum, Wordnet, Wordnet thesaurus.
Abstract
Abstract: The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference engines. However, we believe that the diversity and uncertainty of terminologies and schema-like annotations will make precise querying on a Web scale extremely elusive if not hopeless, and the same argument holds for large-scale dynamic federations of Deep Web sources. Therefore, ontology-based reasoning and querying needs to be enhanced by statistical means, leading to relevance-ranked lists as query results. This paper presents steps towards such a “statistically semantic” Web and outlines technical challenges. We discuss how statistically quantified ontological relations can be exploited in XML retrieval, how statistics can help in making Web-scale search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. We believe these are decisive issues for improving the quality of next-generation search engines for intranets, digital libraries, and the Web, and they are crucial also for peer-to-peer collaborative Web search.
Url:
DOI: 10.1007/978-3-540-30464-7_2
Links to Exploration step
ISTEX:E281C55D5902501C698FDE7C2BDFE0E9C38648E8Le document en format XML
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Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference engines. However, we believe that the diversity and uncertainty of terminologies and schema-like annotations will make precise querying on a Web scale extremely elusive if not hopeless, and the same argument holds for large-scale dynamic federations of Deep Web sources. Therefore, ontology-based reasoning and querying needs to be enhanced by statistical means, leading to relevance-ranked lists as query results. This paper presents steps towards such a “statistically semantic” Web and outlines technical challenges. We discuss how statistically quantified ontological relations can be exploited in XML retrieval, how statistics can help in making Web-scale search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. We believe these are decisive issues for improving the quality of next-generation search engines for intranets, digital libraries, and the Web, and they are crucial also for peer-to-peer collaborative Web search.</abstract><qualityIndicators><score>7.292</score><pdfWordCount>6824</pdfWordCount><pdfCharCount>41203</pdfCharCount><pdfVersion>1.3</pdfVersion><pdfPageCount>15</pdfPageCount><pdfPageSize>430 x 660 pts</pdfPageSize><refBibsNative>false</refBibsNative><abstractWordCount>191</abstractWordCount><abstractCharCount>1343</abstractCharCount><keywordCount>0</keywordCount></qualityIndicators><title>Towards a Statistically Semantic Web</title><chapterId><json:string>2</json:string><json:string>Chap2</json:string></chapterId><genre><json:string>conference</json:string></genre><serie><title>Lecture Notes in Computer Science</title><language><json:string>unknown</json:string></language><copyrightDate>2004</copyrightDate><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><editor><json:item><name>David Hutchison</name><affiliations><json:string>Lancaster University, UK</json:string></affiliations></json:item><json:item><name>Takeo Kanade</name><affiliations><json:string>Carnegie Mellon University, Pittsburgh, PA, USA</json:string></affiliations></json:item><json:item><name>Josef Kittler</name><affiliations><json:string>University of Surrey, Guildford, UK</json:string></affiliations></json:item><json:item><name>Jon M. Kleinberg</name><affiliations><json:string>Cornell University, Ithaca, NY, USA</json:string></affiliations></json:item><json:item><name>Friedemann Mattern</name><affiliations><json:string>ETH Zurich, Switzerland</json:string></affiliations></json:item><json:item><name>John C. Mitchell</name><affiliations><json:string>Stanford University, CA, USA</json:string></affiliations></json:item><json:item><name>Moni Naor</name><affiliations><json:string>Weizmann Institute of Science, Rehovot, Israel</json:string></affiliations></json:item><json:item><name>Oscar Nierstrasz</name><affiliations><json:string>University of Bern, Switzerland</json:string></affiliations></json:item><json:item><name>C. Pandu Rangan</name><affiliations><json:string>Indian Institute of Technology, Madras, India</json:string></affiliations></json:item><json:item><name>Bernhard Steffen</name><affiliations><json:string>University of Dortmund, Germany</json:string></affiliations></json:item><json:item><name>Madhu Sudan</name><affiliations><json:string>Massachusetts Institute of Technology, MA, USA</json:string></affiliations></json:item><json:item><name>Demetri Terzopoulos</name><affiliations><json:string>New York University, NY, USA</json:string></affiliations></json:item><json:item><name>Dough Tygar</name><affiliations><json:string>University of California, Berkeley, CA, USA</json:string></affiliations></json:item><json:item><name>Moshe Y. Vardi</name><affiliations><json:string>Rice University, Houston, TX, USA</json:string></affiliations></json:item><json:item><name>Gerhard Weikum</name><affiliations><json:string>Max-Planck Institute of Computer Science, Saarbruecken, Germany</json:string></affiliations></json:item></editor></serie><host><title>Conceptual Modeling – ER 2004</title><language><json:string>unknown</json:string></language><copyrightDate>2004</copyrightDate><doi><json:string>10.1007/b101693</json:string></doi><issn><json:string>0302-9743</json:string></issn><eissn><json:string>1611-3349</json:string></eissn><eisbn><json:string>978-3-540-30464-7</json:string></eisbn><bookId><json:string>978-3-540-30464-7</json:string></bookId><isbn><json:string>978-3-540-23723-5</json:string></isbn><volume>3288</volume><pages><first>3</first><last>17</last></pages><genre><json:string>book-series</json:string></genre><editor><json:item><name>Paolo Atzeni</name><affiliations><json:string>Informatica e Automazione, Università Roma Tre, Via Vasca Navale 79, 00146, Roma, Italy</json:string><json:string>E-mail: atzeni@dia.uniroma3.it</json:string></affiliations></json:item><json:item><name>Wesley Chu</name><affiliations><json:string>Computer Science Department, University of California, 3731 Boelter Hall, 90095, Los Angeles, CA, USA</json:string><json:string>E-mail: wwc@cs.ucla.edu</json:string></affiliations></json:item><json:item><name>Hongjun Lu</name><affiliations><json:string>Department of Computer Science, Tsinghua University, 100084, Beijing, P.R. China</json:string><json:string>E-mail: luhj@cs.ust.hk</json:string></affiliations></json:item><json:item><name>Shuigeng Zhou</name><affiliations><json:string>Department of Computer Science and Engineering, Fudan University, 200433, China</json:string><json:string>E-mail: sgzhou@fudan.edu.cn</json:string></affiliations></json:item><json:item><name>Tok-Wang Ling</name><affiliations><json:string>School of Computing, National University of Singapore,</json:string><json:string>E-mail: lingtw@comp.nus.edu.sg</json:string></affiliations></json:item></editor><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Database Management</value></json:item><json:item><value>Information Systems Applications (incl.Internet)</value></json:item><json:item><value>Mathematical Logic and Formal Languages</value></json:item><json:item><value>Artificial Intelligence (incl. 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Proceedings</title><idno type="DOI">10.1007/b101693</idno><idno type="pISBN">978-3-540-23723-5</idno><idno type="eISBN">978-3-540-30464-7</idno><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="book-title-ID">113334</idno><idno type="book-ID">978-3-540-30464-7</idno><idno type="book-chapter-count">75</idno><idno type="book-volume-number">3288</idno><idno type="book-sequence-number">3288</idno><idno type="PartChapterCount">2</idno><editor xml:id="book-author-0000"><persName><forename type="first">Paolo</forename><surname>Atzeni</surname></persName><email>atzeni@dia.uniroma3.it</email><affiliation>Informatica e Automazione, Università Roma Tre, Via Vasca Navale 79, 00146, Roma, Italy</affiliation></editor><editor xml:id="book-author-0001"><persName><forename type="first">Wesley</forename><surname>Chu</surname></persName><email>wwc@cs.ucla.edu</email><affiliation>Computer Science Department, University of California, 3731 Boelter Hall, 90095, Los Angeles, CA, USA</affiliation></editor><editor xml:id="book-author-0002"><persName><forename type="first">Hongjun</forename><surname>Lu</surname></persName><email>luhj@cs.ust.hk</email><affiliation>Department of Computer Science, Tsinghua University, 100084, Beijing, P.R. China</affiliation></editor><editor xml:id="book-author-0003"><persName><forename type="first">Shuigeng</forename><surname>Zhou</surname></persName><email>sgzhou@fudan.edu.cn</email><affiliation>Department of Computer Science and Engineering, Fudan University, 200433, China</affiliation></editor><editor xml:id="book-author-0004"><persName><forename type="first">Tok-Wang</forename><surname>Ling</surname></persName><email>lingtw@comp.nus.edu.sg</email><affiliation>School of Computing, National University of Singapore</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2004"></date><biblScope unit="volume">3288</biblScope><biblScope unit="page" from="3">3</biblScope><biblScope unit="page" to="17">17</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor xml:id="serie-author-0000"><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, UK</affiliation></editor><editor xml:id="serie-author-0001"><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor xml:id="serie-author-0002"><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor xml:id="serie-author-0003"><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor xml:id="serie-author-0004"><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Switzerland</affiliation></editor><editor xml:id="serie-author-0005"><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, CA, USA</affiliation></editor><editor xml:id="serie-author-0006"><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor xml:id="serie-author-0007"><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Switzerland</affiliation></editor><editor xml:id="serie-author-0008"><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor xml:id="serie-author-0009"><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Germany</affiliation></editor><editor xml:id="serie-author-0010"><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor xml:id="serie-author-0011"><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>New York University, NY, USA</affiliation></editor><editor xml:id="serie-author-0012"><persName><forename type="first">Dough</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor xml:id="serie-author-0013"><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor xml:id="serie-author-0014"><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation></editor><biblScope><date>2004</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2004</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference engines. However, we believe that the diversity and uncertainty of terminologies and schema-like annotations will make precise querying on a Web scale extremely elusive if not hopeless, and the same argument holds for large-scale dynamic federations of Deep Web sources. Therefore, ontology-based reasoning and querying needs to be enhanced by statistical means, leading to relevance-ranked lists as query results. This paper presents steps towards such a “statistically semantic” Web and outlines technical challenges. We discuss how statistically quantified ontological relations can be exploited in XML retrieval, how statistics can help in making Web-scale search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. 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Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference engines. However, we believe that the diversity and uncertainty of terminologies and schema-like annotations will make precise querying on a Web scale extremely elusive if not hopeless, and the same argument holds for large-scale dynamic federations of Deep Web sources. Therefore, ontology-based reasoning and querying needs to be enhanced by statistical means, leading to relevance-ranked lists as query results.</Para><Para>This paper presents steps towards such a “statistically semantic” Web and outlines technical challenges. We discuss how statistically quantified ontological relations can be exploited in XML retrieval, how statistics can help in making Web-scale search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. We believe these are decisive issues for improving the quality of next-generation search engines for intranets, digital libraries, and the Web, and they are crucial also for peer-to-peer collaborative Web search.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Towards a Statistically Semantic Web</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Towards a Statistically Semantic Web</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jens</namePart><namePart type="family">Graupmann</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ralf</namePart><namePart type="family">Schenkel</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Martin</namePart><namePart type="family">Theobald</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2004</dateIssued><copyrightDate encoding="w3cdtf">2004</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 envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. Ideally, this should enable a wealth of query processing and semantic reasoning capabilities using XQuery and logical inference engines. However, we believe that the diversity and uncertainty of terminologies and schema-like annotations will make precise querying on a Web scale extremely elusive if not hopeless, and the same argument holds for large-scale dynamic federations of Deep Web sources. Therefore, ontology-based reasoning and querying needs to be enhanced by statistical means, leading to relevance-ranked lists as query results. This paper presents steps towards such a “statistically semantic” Web and outlines technical challenges. We discuss how statistically quantified ontological relations can be exploited in XML retrieval, how statistics can help in making Web-scale search efficient, and how statistical information extracted from users’ query logs and click streams can be leveraged for better search result ranking. We believe these are decisive issues for improving the quality of next-generation search engines for intranets, digital libraries, and the Web, and they are crucial also for peer-to-peer collaborative Web search.</abstract><relatedItem type="host"><titleInfo><title>Conceptual Modeling – ER 2004</title><subTitle>23rd International Conference on Conceptual Modeling, Shanghai, China, November 8-12, 2004. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Paolo</namePart><namePart type="family">Atzeni</namePart><affiliation>Informatica e Automazione, Università Roma Tre, Via Vasca Navale 79, 00146, Roma, Italy</affiliation><affiliation>E-mail: atzeni@dia.uniroma3.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wesley</namePart><namePart type="family">Chu</namePart><affiliation>Computer Science Department, University of California, 3731 Boelter Hall, 90095, Los Angeles, CA, USA</affiliation><affiliation>E-mail: wwc@cs.ucla.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Hongjun</namePart><namePart type="family">Lu</namePart><affiliation>Department of Computer Science, Tsinghua University, 100084, Beijing, P.R. China</affiliation><affiliation>E-mail: luhj@cs.ust.hk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Shuigeng</namePart><namePart type="family">Zhou</namePart><affiliation>Department of Computer Science and Engineering, Fudan University, 200433, China</affiliation><affiliation>E-mail: sgzhou@fudan.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Tok-Wang</namePart><namePart type="family">Ling</namePart><affiliation>School of Computing, National University of Singapore</affiliation><affiliation>E-mail: lingtw@comp.nus.edu.sg</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2004</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="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I16048">Mathematical Logic and Formal Languages</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18016">Models and Principles</topic><topic authority="SpringerSubjectCodes" authorityURI="I14029">Software Engineering</topic></subject><identifier type="DOI">10.1007/b101693</identifier><identifier type="ISBN">978-3-540-23723-5</identifier><identifier type="eISBN">978-3-540-30464-7</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">113334</identifier><identifier type="BookID">978-3-540-30464-7</identifier><identifier type="BookChapterCount">75</identifier><identifier type="BookVolumeNumber">3288</identifier><identifier type="BookSequenceNumber">3288</identifier><identifier type="PartChapterCount">2</identifier><part><date>2004</date><detail type="part"><title>Keynote Addresses</title></detail><detail type="volume"><number>3288</number><caption>vol.</caption></detail><extent unit="pages"><start>3</start><end>17</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2004</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>New York University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2004</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2004</recordOrigin></recordInfo></relatedItem><identifier type="istex">E281C55D5902501C698FDE7C2BDFE0E9C38648E8</identifier><identifier type="DOI">10.1007/978-3-540-30464-7_2</identifier><identifier type="ChapterID">2</identifier><identifier type="ChapterID">Chap2</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2004</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2004</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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