Dynamic Data Driven Applications Systems – DDDAS 2009
Identifieur interne : 000222 ( Istex/Corpus ); précédent : 000221; suivant : 000223Dynamic Data Driven Applications Systems – DDDAS 2009
Auteurs : C. DouglasSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas.
Url:
DOI: 10.1007/978-3-642-01973-9_49
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ISTEX:3A49B396BE01894929182843B2C3EE01B6BDD4AALe document en format XML
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Douglas</name><affiliation><mods:affiliation>University of Wyoming, WY 82071, Laramie, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Yale University, CT 06520-8285, New Haven, USA</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:3A49B396BE01894929182843B2C3EE01B6BDD4AA</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1007/978-3-642-01973-9_49</idno><idno type="url">https://api.istex.fr/document/3A49B396BE01894929182843B2C3EE01B6BDD4AA/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000222</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Dynamic Data Driven Applications Systems – DDDAS 2009</title><author><name sortKey="Douglas, C" sort="Douglas, C" uniqKey="Douglas C" first="C." last="Douglas">C. Douglas</name><affiliation><mods:affiliation>University of Wyoming, WY 82071, Laramie, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Yale University, CT 06520-8285, New Haven, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2009</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">3A49B396BE01894929182843B2C3EE01B6BDD4AA</idno><idno type="DOI">10.1007/978-3-642-01973-9_49</idno><idno type="ChapterID">49</idno><idno type="ChapterID">Chap49</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: This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Craig C. Douglas</name><affiliations><json:string>University of Wyoming, WY 82071, Laramie, USA</json:string><json:string>Yale University, CT 06520-8285, New Haven, USA</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. 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type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><biblScope><date>2009</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno></series><idno type="istex">3A49B396BE01894929182843B2C3EE01B6BDD4AA</idno><idno type="DOI">10.1007/978-3-642-01973-9_49</idno><idno type="ChapterID">49</idno><idno type="ChapterID">Chap49</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2009</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><item><term>Computer Science</term></item><label>I16005</label><item><term>Theory of Computation</term></item><label>I14002</label><item><term>Software Engineering/Programming and Operating Systems</term></item><label>I1701X</label><item><term>Numeric Computing</term></item><label>I24032</label><item><term>Computers and Education</term></item><label>I21025</label><item><term>Simulation and Modeling</term></item><label>I22005</label><item><term>Computer Imaging, Vision, Pattern Recognition and Graphics</term></item></list></keywords></textClass></profileDesc><revisionDesc><change 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Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo Language="En" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0" ContainsESM="No" BookProductType="Proceedings" MediaType="eBook"><BookID>978-3-642-01973-9</BookID><BookTitle>Computational Science – ICCS 2009</BookTitle><BookSubTitle>9th International Conference Baton Rouge, LA, USA, May 25-27, 2009 Proceedings, Part II</BookSubTitle><BookVolumeNumber>5545</BookVolumeNumber><BookSequenceNumber>5545</BookSequenceNumber><BookDOI>10.1007/978-3-642-01973-9</BookDOI><BookTitleID>188809</BookTitleID><BookPrintISBN>978-3-642-01972-2</BookPrintISBN><BookElectronicISBN>978-3-642-01973-9</BookElectronicISBN><BookChapterCount>100</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Type="Primary" Code="I">Computer Science</BookSubject><BookSubject Type="Secondary" Priority="1" Code="I16005">Theory of Computation</BookSubject><BookSubject Type="Secondary" Priority="2" Code="I14002">Software Engineering/Programming and Operating Systems</BookSubject><BookSubject Type="Secondary" Priority="3" Code="I1701X">Numeric Computing</BookSubject><BookSubject Type="Secondary" Priority="4" Code="I24032">Computers and Education</BookSubject><BookSubject Type="Secondary" Priority="5" Code="I21025">Simulation and Modeling</BookSubject><BookSubject Type="Secondary" Priority="6" Code="I22005">Computer Imaging, Vision, Pattern Recognition and Graphics</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Gabrielle</GivenName><FamilyName>Allen</FamilyName></EditorName><Contact><Email>gallen@cct.lsu.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Jarosław</GivenName><FamilyName>Nabrzyski</FamilyName></EditorName><Contact><Email>naber@man.poznan.pl</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Edward</GivenName><FamilyName>Seidel</FamilyName></EditorName><Contact><Email>eseidel@cct.lsu.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Geert</GivenName><GivenName>Dick</GivenName><Particle>van</Particle><FamilyName>Albada</FamilyName></EditorName><Contact><Email>dick@science.uva.nl</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Jack</GivenName><FamilyName>Dongarra</FamilyName></EditorName><Contact><Email>dongarra@eecs.utk.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Peter</GivenName><GivenName>M.</GivenName><GivenName>A.</GivenName><FamilyName>Sloot</FamilyName></EditorName><Contact><Email>sloot@science.uva.nl</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Center for Computation & Technology</OrgDivision><OrgName>Louisiana State University</OrgName><OrgAddress><Street>216 Johnston Hall</Street><Postcode>LA 70803</Postcode><City>Baton Rouge</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>Poznań Supercomputing and Networking Center</OrgName><OrgAddress><City>Poznań</City><Country>Poland</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Center for Computation and Technology</OrgDivision><OrgName>Louisiana State University</OrgName><OrgAddress><Postcode>LA 70803</Postcode><City>Baton Rouge</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Department of Mathematics and Computer Science</OrgDivision><OrgName>University of Amsterdam</OrgName><OrgAddress><Street>Kruislaan 403</Street><Postcode>1098 SJ</Postcode><City>Amsterdam</City><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Computer Science Department</OrgDivision><OrgName>University of Tennessee</OrgName><OrgAddress><Postcode>TN 37996-3450</Postcode><City>Knoxville</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>Faculty of Sciences, Section of Computational Science</OrgDivision><OrgName>University of Amsterdam</OrgName><OrgAddress><Street>Kruislaan 403</Street><Postcode>1098 SJ</Postcode><City>Amsterdam</City><Country>The Netherlands</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part5"><PartInfo TocLevels="0"><PartID>5</PartID><PartSequenceNumber>5</PartSequenceNumber><PartTitle>Workshop on Dynamic Data Driven Applications Systems – DDDAS 2009</PartTitle><PartChapterCount>8</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Computational Science – ICCS 2009</BookTitle></PartContext></PartInfo><Chapter ID="Chap49" Language="En"><ChapterInfo ChapterType="OriginalPaper" NumberingStyle="Unnumbered" TocLevels="0" ContainsESM="No"><ChapterID>49</ChapterID><ChapterDOI>10.1007/978-3-642-01973-9_49</ChapterDOI><ChapterSequenceNumber>49</ChapterSequenceNumber><ChapterTitle Language="En">Dynamic Data Driven Applications Systems – DDDAS 2009</ChapterTitle><ChapterFirstPage>445</ChapterFirstPage><ChapterLastPage>446</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></ChapterCopyright><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>5</PartID><BookID>978-3-642-01973-9</BookID><BookTitle>Computational Science – ICCS 2009</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22 Aff23"><AuthorName DisplayOrder="Western"><GivenName>Craig</GivenName><GivenName>C.</GivenName><FamilyName>Douglas</FamilyName></AuthorName></Author><Affiliation ID="Aff22"><OrgName>University of Wyoming</OrgName><OrgAddress><City>Laramie</City><Postcode>WY 82071</Postcode><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgName>Yale University</OrgName><OrgAddress><City>New Haven</City><Postcode>CT 06520-8285</Postcode><Country>USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Dynamic Data Driven Applications Systems – DDDAS 2009</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Dynamic Data Driven Applications Systems – DDDAS 2009</title></titleInfo><name type="personal"><namePart type="given">Craig</namePart><namePart type="given">C.</namePart><namePart type="family">Douglas</namePart><affiliation>University of Wyoming, WY 82071, Laramie, USA</affiliation><affiliation>Yale University, CT 06520-8285, New Haven, USA</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">2009</dateIssued><copyrightDate encoding="w3cdtf">2009</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: This workshop covers several aspects of the Dynamic Data Driven Applications Systems (DDDAS) concept, which is an established approach defining a symbiotic relation between an application and sensor based measurement systems. Applications can accept and respond dynamically to new data injected into the executing application. In addition, applications can dynamically control the measurement processes. The synergistic feedback control-loop between an application simulation and its measurements opens new capabilities in simulations, e.g., the creation of applications with new and enhanced analysis and prediction capabilities, greater accuracy, longer simulations between restarts, and enable a new methodology for more efficient and effective measurements. DDDAS transforms the way science and engineering are done with a major impact in the way many functions in our society are conducted, e.g., manufacturing, commerce, transportation, hazard prediction and management, and medicine. The workshop will present such new opportunities as well as the challenges and approaches in technology needed to enable DDDAS capabilities in applications, relevant algorithms, and software systems. The workshop will showcase ongoing research in these aspects with examples from several important application areas.</abstract><relatedItem type="host"><titleInfo><title>Computational Science – ICCS 2009</title><subTitle>9th International Conference Baton Rouge, LA, USA, May 25-27, 2009 Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Gabrielle</namePart><namePart type="family">Allen</namePart><affiliation>Center for Computation & Technology, Louisiana State University, 216 Johnston Hall, LA 70803, Baton Rouge, USA</affiliation><affiliation>E-mail: gallen@cct.lsu.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jarosław</namePart><namePart type="family">Nabrzyski</namePart><affiliation>Poznań Supercomputing and Networking Center, Poznań, Poland</affiliation><affiliation>E-mail: naber@man.poznan.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Edward</namePart><namePart type="family">Seidel</namePart><affiliation>Center for Computation and Technology, Louisiana State University, LA 70803, Baton Rouge, USA</affiliation><affiliation>E-mail: eseidel@cct.lsu.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Geert</namePart><namePart type="given">Dick</namePart><namePart type="family">van Albada</namePart><affiliation>Department of Mathematics and Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands</affiliation><affiliation>E-mail: dick@science.uva.nl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jack</namePart><namePart type="family">Dongarra</namePart><affiliation>Computer Science Department, University of Tennessee, TN 37996-3450, Knoxville, USA</affiliation><affiliation>E-mail: dongarra@eecs.utk.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Peter</namePart><namePart type="given">M.</namePart><namePart type="given">A.</namePart><namePart type="family">Sloot</namePart><affiliation>Faculty of Sciences, Section of Computational Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands</affiliation><affiliation>E-mail: sloot@science.uva.nl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2009</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 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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, 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 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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>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</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, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2009</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 Berlin Heidelberg, 2009</recordOrigin></recordInfo></relatedItem><identifier type="istex">3A49B396BE01894929182843B2C3EE01B6BDD4AA</identifier><identifier type="DOI">10.1007/978-3-642-01973-9_49</identifier><identifier type="ChapterID">49</identifier><identifier type="ChapterID">Chap49</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Berlin Heidelberg, 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