An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC
Identifieur interne : 003B04 ( Istex/Corpus ); précédent : 003B03; suivant : 003B05An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC
Auteurs : Jung-Hyun Kim ; Yong-Wan Roh ; Kwang-Seok HongSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Korean Standard Sign Language (hereinafter, “KSSL”) is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.
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DOI: 10.1007/11758549_118
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Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Jung-Hyun Kim</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: kjh0328@skku.edu</json:string></affiliations></json:item><json:item><name>Yong-Wan Roh</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: elec1004@skku.edu</json:string></affiliations></json:item><json:item><name>Kwang-Seok Hong</name><affiliations><json:string>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</json:string><json:string>E-mail: kshong@skku.ac.kr</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Korean Standard Sign Language (hereinafter, “KSSL”) is a complex visual-spatial language that is used by the deaf community in the South Korea. 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type="first">Yong-Wan</forename><surname>Roh</surname></persName><email>elec1004@skku.edu</email><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation></author><author><persName><forename type="first">Kwang-Seok</forename><surname>Hong</surname></persName><email>kshong@skku.ac.kr</email><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation></author></analytic><monogr><title level="m">Computational Science – ICCS 2006</title><title level="m" type="sub">6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part IV</title><idno type="pISBN">978-3-540-34385-1</idno><idno type="eISBN">978-3-540-34386-8</idno><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="DOI">10.1007/11758549</idno><idno 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Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.</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><label>I16005</label><label>I14002</label><label>I1701X</label><label>I18008</label><label>I22005</label><label>I21025</label><item><term>Computer Science</term></item><item><term>Theory of Computation</term></item><item><term>Software Engineering/Programming and Operating Systems</term></item><item><term>Numeric Computing</term></item><item><term>Information Systems and Communication Service</term></item><item><term>Computer Imaging, Vision, Pattern Recognition and Graphics</term></item><item><term>Simulation and Modeling</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2006">Published</change><change 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University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of 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><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><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><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><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><City>MA</City><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>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-34386-8</BookID><BookTitle>Computational Science – ICCS 2006</BookTitle><BookSubTitle>6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part IV</BookSubTitle><BookVolumeNumber>3994</BookVolumeNumber><BookSequenceNumber>3994</BookSequenceNumber><BookDOI>10.1007/11758549</BookDOI><BookTitleID>139076</BookTitleID><BookPrintISBN>978-3-540-34385-1</BookPrintISBN><BookElectronicISBN>978-3-540-34386-8</BookElectronicISBN><BookChapterCount>142</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I16005" Priority="1" Type="Secondary">Theory of Computation</BookSubject><BookSubject Code="I14002" Priority="2" Type="Secondary">Software Engineering/Programming and Operating Systems</BookSubject><BookSubject Code="I1701X" Priority="3" Type="Secondary">Numeric Computing</BookSubject><BookSubject Code="I18008" Priority="4" Type="Secondary">Information Systems and Communication Service</BookSubject><BookSubject Code="I22005" Priority="5" Type="Secondary">Computer Imaging, Vision, Pattern Recognition and Graphics</BookSubject><BookSubject Code="I21025" Priority="6" Type="Secondary">Simulation and Modeling</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Vassil</GivenName><GivenName>N.</GivenName><FamilyName>Alexandrov</FamilyName></EditorName><Contact><Email>v.n.alexandrov@reading.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><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="Aff18"><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><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Jack</GivenName><FamilyName>Dongarra</FamilyName></EditorName><Contact><Email>dongarra@eecs.utk.edu</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Advanced Computing and Emerging Technologies Centre, The School of Systems Engineering</OrgDivision><OrgName>University of Reading</OrgName><OrgAddress><Postcode>RG6 6AY</Postcode><City>Reading</City><Country>United Kingdom</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Department of Mathematics and Computer Science</OrgDivision><OrgName>University of Amsterdam</OrgName><OrgAddress><Street>Kruislaan 403</Street><Postcode>1098</Postcode><City>Amsterdam</City><State>SJ</State><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Faculty of Sciences, Section of Computational Science</OrgDivision><OrgName>University of Amsterdam</OrgName><OrgAddress><Street>Kruislaan 403</Street><Postcode>1098</Postcode><City>Amsterdam</City><State>SJ</State><Country>The Netherlands</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Computer Science Department</OrgDivision><OrgName>University of Tennessee</OrgName><OrgAddress><Postcode>37996-3450</Postcode><City>Knoxville</City><State>TN</State><Country>USA</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part11"><PartInfo TocLevels="0"><PartID>11</PartID><PartSequenceNumber>11</PartSequenceNumber><PartTitle>Digital Human Modeling (DHM-06)</PartTitle><PartChapterCount>11</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Computational Science – ICCS 2006</BookTitle></PartContext></PartInfo><Chapter ID="Chap118" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>118</ChapterID><ChapterDOI>10.1007/11758549_118</ChapterDOI><ChapterSequenceNumber>118</ChapterSequenceNumber><ChapterTitle Language="En">An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC</ChapterTitle><ChapterFirstPage>886</ChapterFirstPage><ChapterLastPage>893</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</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>11</PartID><BookID>978-3-540-34386-8</BookID><BookTitle>Computational Science – ICCS 2006</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Jung-Hyun</GivenName><FamilyName>Kim</FamilyName></AuthorName><Contact><Email>kjh0328@skku.edu</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Yong-Wan</GivenName><FamilyName>Roh</FamilyName></AuthorName><Contact><Email>elec1004@skku.edu</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Kwang-Seok</GivenName><FamilyName>Hong</FamilyName></AuthorName><Contact><Email>kshong@skku.ac.kr</Email><URL>http://hci.skku.ac.kr</URL></Contact></Author><Affiliation ID="Aff20"><OrgDivision>School of Information and Communication Engineering</OrgDivision><OrgName>Sungkyunkwan University</OrgName><OrgAddress><Street>300, Chunchun-dong, Jangan-gu</Street><City>Suwon, KyungKi-do</City><Postcode>440-746</Postcode><Country>Korea</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Korean Standard Sign Language (hereinafter, “KSSL”) is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC</title></titleInfo><name type="personal"><namePart type="given">Jung-Hyun</namePart><namePart type="family">Kim</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: kjh0328@skku.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yong-Wan</namePart><namePart type="family">Roh</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: elec1004@skku.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Kwang-Seok</namePart><namePart type="family">Hong</namePart><affiliation>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu, 440-746, Suwon, KyungKi-do, Korea</affiliation><affiliation>E-mail: kshong@skku.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2006</dateIssued><copyrightDate encoding="w3cdtf">2006</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: Korean Standard Sign Language (hereinafter, “KSSL”) is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.</abstract><relatedItem type="host"><titleInfo><title>Computational Science – ICCS 2006</title><subTitle>6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part IV</subTitle></titleInfo><name type="personal"><namePart type="given">Vassil</namePart><namePart type="given">N.</namePart><namePart type="family">Alexandrov</namePart><affiliation>Advanced Computing and Emerging Technologies Centre, The School of Systems Engineering, University of Reading, RG6 6AY, Reading, United Kingdom</affiliation><affiliation>E-mail: v.n.alexandrov@reading.ac.uk</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, Amsterdam, SJ, 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">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, Amsterdam, SJ, The Netherlands</affiliation><affiliation>E-mail: sloot@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, 37996-3450, Knoxville, TN, USA</affiliation><affiliation>E-mail: dongarra@eecs.utk.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2006</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="I16005">Theory of Computation</topic><topic authority="SpringerSubjectCodes" authorityURI="I14002">Software Engineering/Programming and Operating Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I1701X">Numeric Computing</topic><topic authority="SpringerSubjectCodes" authorityURI="I18008">Information Systems and Communication Service</topic><topic authority="SpringerSubjectCodes" authorityURI="I22005">Computer Imaging, Vision, Pattern Recognition and Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I21025">Simulation and Modeling</topic></subject><identifier type="DOI">10.1007/11758549</identifier><identifier type="ISBN">978-3-540-34385-1</identifier><identifier type="eISBN">978-3-540-34386-8</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">139076</identifier><identifier type="BookID">978-3-540-34386-8</identifier><identifier type="BookChapterCount">142</identifier><identifier type="BookVolumeNumber">3994</identifier><identifier type="BookSequenceNumber">3994</identifier><identifier type="PartChapterCount">11</identifier><part><date>2006</date><detail type="part"><title>Digital Human Modeling (DHM-06)</title></detail><detail type="volume"><number>3994</number><caption>vol.</caption></detail><extent unit="pages"><start>886</start><end>893</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2006</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 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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">2006</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, 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