Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain
Identifieur interne : 000411 ( Istex/Corpus ); précédent : 000410; suivant : 000412Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain
Auteurs : Zaharudin Ibrahim ; Shahrul Azman Noah ; Mahanem Mat NoorSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: The primary goal of ontology development is to share and reuse domain knowledge among people or machines. This study focuses on the approach of extracting semantic relationships from unstructured textual documents related to medicinal herb from websites and proposes a lexical pattern technique to acquire semantic relationships such as synonym, hyponym, and part-of relationships. The results show of nine object properties (or relations) and 105 lexico-syntactic patterns have been identified manually, including one from the Hearst hyponym rules. The lexical patterns have linked 7252 terms that have the potential as ontological terms. Based on this study, it is believed that determining the lexical pattern at an early stage is helpful in selecting relevant term from a wide collection of terms in the corpus. However, the relations and lexico-syntactic patterns or rules have to be verified by domain expert before employing the rules to the wider collection in an attempt to find more possible rules.
Url:
DOI: 10.1007/978-3-642-16248-0_55
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ISTEX:E2C36C8C3F1B4E5BC132132DE00BBAB467E0897ALe document en format XML
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This study focuses on the approach of extracting semantic relationships from unstructured textual documents related to medicinal herb from websites and proposes a lexical pattern technique to acquire semantic relationships such as synonym, hyponym, and part-of relationships. The results show of nine object properties (or relations) and 105 lexico-syntactic patterns have been identified manually, including one from the Hearst hyponym rules. The lexical patterns have linked 7252 terms that have the potential as ontological terms. Based on this study, it is believed that determining the lexical pattern at an early stage is helpful in selecting relevant term from a wide collection of terms in the corpus. 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type="first">Pawan</forename><surname>Lingras</surname></persName><email>pawan@cs.smu.ca</email><affiliation>Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada</affiliation></editor><editor><persName><forename type="first">Guoyin</forename><surname>Wang</surname></persName><email>wanggy@cqupt.edu.cn</email><affiliation>Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China</affiliation></editor><editor><persName><forename type="first">Andrzej</forename><surname>Skowron</surname></persName><email>skowron@mimuw.edu.pl</email><affiliation>Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2010"></date><biblScope unit="volume">6401</biblScope><biblScope unit="page" 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type="first">Randy</forename><surname>Goebel</surname></persName><affiliation>University of Alberta, Edmonton, Canada</affiliation></editor><editor><persName><forename type="first">Jörg</forename><surname>Siekmann</surname></persName><affiliation>University of Saarland, Saarbrücken, Germany</affiliation></editor><editor><persName><forename type="first">Wolfgang</forename><surname>Wahlster</surname></persName><affiliation>DFKI and University of Saarland, Saarbrücken, Germany</affiliation></editor><editor><persName><forename type="first">Jian</forename><surname>Yu</surname></persName><email>jianyu@bjtu.edu.cn</email><affiliation>School of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China</affiliation></editor><editor><persName><forename type="first">Salvatore</forename><surname>Greco</surname></persName><email>salgreco@unict.it</email><affiliation>Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy</affiliation></editor><editor><persName><forename type="first">Pawan</forename><surname>Lingras</surname></persName><email>pawan@cs.smu.ca</email><affiliation>Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada</affiliation></editor><editor><persName><forename type="first">Guoyin</forename><surname>Wang</surname></persName><email>wanggy@cqupt.edu.cn</email><affiliation>Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China</affiliation></editor><editor><persName><forename type="first">Andrzej</forename><surname>Skowron</surname></persName><email>skowron@mimuw.edu.pl</email><affiliation>Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland</affiliation></editor><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><biblScope unit="seriesId">1244</biblScope></series><idno type="istex">E2C36C8C3F1B4E5BC132132DE00BBAB467E0897A</idno><idno type="DOI">10.1007/978-3-642-16248-0_55</idno><idno type="ChapterID">55</idno><idno type="ChapterID">Chap55</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2010</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: The primary goal of ontology development is to share and reuse domain knowledge among people or machines. This study focuses on the approach of extracting semantic relationships from unstructured textual documents related to medicinal herb from websites and proposes a lexical pattern technique to acquire semantic relationships such as synonym, hyponym, and part-of relationships. The results show of nine object properties (or relations) and 105 lexico-syntactic patterns have been identified manually, including one from the Hearst hyponym rules. The lexical patterns have linked 7252 terms that have the potential as ontological terms. Based on this study, it is believed that determining the lexical pattern at an early stage is helpful in selecting relevant term from a wide collection of terms in the corpus. However, the relations and lexico-syntactic patterns or rules have to be verified by domain expert before employing the rules to the wider collection in an attempt to find more possible rules.</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>I21017</label><label>I18030</label><label>I18024</label><label>I16048</label><label>I16013</label><label>I2203X</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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University</OrgName><OrgAddress><Postcode>100044</Postcode><City>Beijing</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Faculty of Economics</OrgDivision><OrgName>University of Catania</OrgName><OrgAddress><Street>Corso Italia, 55</Street><Postcode>95129</Postcode><City>Catania</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>Department of Mathematics and Computing Science</OrgDivision><OrgName>Saint Mary’s University</OrgName><OrgAddress><Postcode>B3H 3C3</Postcode><City>Halifax, Nova Scotia</City><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgDivision>Institute of Computer Science and Technology</OrgDivision><OrgName>Chongqing University of Posts and Telecommunications</OrgName><OrgAddress><Postcode>400065</Postcode><City>Chongqing</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff23"><OrgDivision>Institute of Mathematics</OrgDivision><OrgName>Warsaw University</OrgName><OrgAddress><Street>Banacha 2</Street><Postcode>02-097</Postcode><City>Warsaw</City><Country>Poland</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part6"><PartInfo TocLevels="0"><PartID>6</PartID><PartSequenceNumber>6</PartSequenceNumber><PartTitle>Health Informatics and Biometrics Authentication</PartTitle><PartChapterCount>9</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Rough Set and Knowledge Technology</BookTitle></PartContext></PartInfo><Chapter ID="Chap55" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>55</ChapterID><ChapterDOI>10.1007/978-3-642-16248-0_55</ChapterDOI><ChapterSequenceNumber>55</ChapterSequenceNumber><ChapterTitle Language="En">Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain</ChapterTitle><ChapterFirstPage>386</ChapterFirstPage><ChapterLastPage>394</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</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>6</PartID><BookID>978-3-642-16248-0</BookID><BookTitle>Rough Set and Knowledge Technology</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff24 Aff25"><AuthorName DisplayOrder="Western"><GivenName>Zaharudin</GivenName><FamilyName>Ibrahim</FamilyName></AuthorName><Contact><Email>zahar347@salam.uitm.edu.my</Email></Contact></Author><Author AffiliationIDS="Aff25"><AuthorName DisplayOrder="Western"><GivenName>Shahrul</GivenName><GivenName>Azman</GivenName><FamilyName>Noah</FamilyName></AuthorName><Contact><Email>samn@ftsm.ukm.my</Email></Contact></Author><Author AffiliationIDS="Aff26"><AuthorName DisplayOrder="Western"><GivenName>Mahanem</GivenName><GivenName>Mat</GivenName><FamilyName>Noor</FamilyName></AuthorName><Contact><Email>mahanem@ukm.my</Email></Contact></Author><Affiliation ID="Aff24"><OrgDivision>Department of Information System Management, Faculty of Information Management</OrgDivision><OrgName>Universiti Teknologi MARA</OrgName><OrgAddress><Postcode>40450</Postcode><City>Shah Alam</City><State>Selangor</State><Country>Malaysia</Country></OrgAddress></Affiliation><Affiliation ID="Aff25"><OrgDivision>Department of Information Science, Faculty of Information Science and Technology</OrgDivision><OrgName>Universiti Kebangsaan Malaysia</OrgName><OrgAddress><Postcode>43600</Postcode><City>Selangor</City><Country>Malaysia</Country></OrgAddress></Affiliation><Affiliation ID="Aff26"><OrgDivision>School of Biosciences and Biotechnology, Faculty Science and Technology</OrgDivision><OrgName>Universiti Kebangsaan Malaysia</OrgName><OrgAddress><Postcode>43600</Postcode><City>Selangor</City><Country>Malaysia</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The primary goal of ontology development is to share and reuse domain knowledge among people or machines. This study focuses on the approach of extracting semantic relationships from unstructured textual documents related to medicinal herb from websites and proposes a lexical pattern technique to acquire semantic relationships such as synonym, hyponym, and part-of relationships. The results show of nine object properties (or relations) and 105 lexico-syntactic patterns have been identified manually, including one from the Hearst hyponym rules. The lexical patterns have linked 7252 terms that have the potential as ontological terms. Based on this study, it is believed that determining the lexical pattern at an early stage is helpful in selecting relevant term from a wide collection of terms in the corpus. However, the relations and lexico-syntactic patterns or rules have to be verified by domain expert before employing the rules to the wider collection in an attempt to find more possible rules.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Knowledge management and extraction</Keyword><Keyword>medicinal herb</Keyword><Keyword>semantic web</Keyword><Keyword>Natural Language Processing</Keyword><Keyword>knowledge engineering</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain</title></titleInfo><name type="personal"><namePart type="given">Zaharudin</namePart><namePart type="family">Ibrahim</namePart><affiliation>Department of Information System Management, Faculty of Information Management, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia</affiliation><affiliation>Department of Information Science, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Selangor, Malaysia</affiliation><affiliation>E-mail: zahar347@salam.uitm.edu.my</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Shahrul</namePart><namePart type="given">Azman</namePart><namePart type="family">Noah</namePart><affiliation>Department of Information Science, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Selangor, Malaysia</affiliation><affiliation>E-mail: samn@ftsm.ukm.my</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Mahanem</namePart><namePart type="given">Mat</namePart><namePart type="family">Noor</namePart><affiliation>School of Biosciences and Biotechnology, Faculty Science and Technology, Universiti Kebangsaan Malaysia, 43600, Selangor, Malaysia</affiliation><affiliation>E-mail: mahanem@ukm.my</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">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</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 primary goal of ontology development is to share and reuse domain knowledge among people or machines. This study focuses on the approach of extracting semantic relationships from unstructured textual documents related to medicinal herb from websites and proposes a lexical pattern technique to acquire semantic relationships such as synonym, hyponym, and part-of relationships. The results show of nine object properties (or relations) and 105 lexico-syntactic patterns have been identified manually, including one from the Hearst hyponym rules. The lexical patterns have linked 7252 terms that have the potential as ontological terms. Based on this study, it is believed that determining the lexical pattern at an early stage is helpful in selecting relevant term from a wide collection of terms in the corpus. However, the relations and lexico-syntactic patterns or rules have to be verified by domain expert before employing the rules to the wider collection in an attempt to find more possible rules.</abstract><relatedItem type="host"><titleInfo><title>Rough Set and Knowledge Technology</title><subTitle>5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Jian</namePart><namePart type="family">Yu</namePart><affiliation>School of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China</affiliation><affiliation>E-mail: jianyu@bjtu.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Salvatore</namePart><namePart type="family">Greco</namePart><affiliation>Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy</affiliation><affiliation>E-mail: salgreco@unict.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pawan</namePart><namePart type="family">Lingras</namePart><affiliation>Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada</affiliation><affiliation>E-mail: pawan@cs.smu.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Guoyin</namePart><namePart type="family">Wang</namePart><affiliation>Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China</affiliation><affiliation>E-mail: wanggy@cqupt.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Andrzej</namePart><namePart type="family">Skowron</namePart><affiliation>Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland</affiliation><affiliation>E-mail: skowron@mimuw.edu.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2010</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="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I16048">Mathematical Logic and Formal Languages</topic><topic authority="SpringerSubjectCodes" authorityURI="I16013">Computation by Abstract Devices</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic></subject><identifier type="DOI">10.1007/978-3-642-16248-0</identifier><identifier type="ISBN">978-3-642-16247-3</identifier><identifier type="eISBN">978-3-642-16248-0</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">213886</identifier><identifier type="BookID">978-3-642-16248-0</identifier><identifier type="BookChapterCount">104</identifier><identifier type="BookVolumeNumber">6401</identifier><identifier type="BookSequenceNumber">6401</identifier><identifier type="PartChapterCount">9</identifier><part><date>2010</date><detail type="part"><title>Health Informatics and Biometrics Authentication</title></detail><detail type="volume"><number>6401</number><caption>vol.</caption></detail><extent unit="pages"><start>386</start><end>394</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</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, Lancaster, 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, 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, Stanford, CA, 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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">2010</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, 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, 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, Stanford, 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, 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, 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 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type="family">Yu</namePart><affiliation>School of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China</affiliation><affiliation>E-mail: jianyu@bjtu.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Salvatore</namePart><namePart type="family">Greco</namePart><affiliation>Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy</affiliation><affiliation>E-mail: salgreco@unict.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pawan</namePart><namePart type="family">Lingras</namePart><affiliation>Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada</affiliation><affiliation>E-mail: pawan@cs.smu.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Guoyin</namePart><namePart type="family">Wang</namePart><affiliation>Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China</affiliation><affiliation>E-mail: wanggy@cqupt.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Andrzej</namePart><namePart type="family">Skowron</namePart><affiliation>Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland</affiliation><affiliation>E-mail: skowron@mimuw.edu.pl</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="sub-series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</recordOrigin></recordInfo></relatedItem><identifier type="istex">E2C36C8C3F1B4E5BC132132DE00BBAB467E0897A</identifier><identifier type="DOI">10.1007/978-3-642-16248-0_55</identifier><identifier type="ChapterID">55</identifier><identifier type="ChapterID">Chap55</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2010</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2010</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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