A Case Study of Linked Enterprise Data
Identifieur interne : 001191 ( Istex/Corpus ); précédent : 001190; suivant : 001192A Case Study of Linked Enterprise Data
Auteurs : Bo Hu ; Glenn SvenssonSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Even though its adoption in the enterprise environment lags behind the public domain, semantic (web) technologies, more recently the linked data initiative, started to penetrate into business domain with more and more people recognising the benefit of such technologies. An evident advantage of leveraging semantic technologies is the integration of distributed data sets that benefit companies with a great return of value. Enterprise data, however, present significantly different characteristics from public data on the Internet. These differences are evident in both technical and managerial perspectives. This paper reports a pilot study, carried out in an international organisation, aiming to provide a collaborative workspace for fast and low-overhead data sharing and integration. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of whether and how one should adopt semantic technologies in similar contexts.
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DOI: 10.1007/978-3-642-17749-1_9
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An evident advantage of leveraging semantic technologies is the integration of distributed data sets that benefit companies with a great return of value. Enterprise data, however, present significantly different characteristics from public data on the Internet. These differences are evident in both technical and managerial perspectives. This paper reports a pilot study, carried out in an international organisation, aiming to provide a collaborative workspace for fast and low-overhead data sharing and integration. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of whether and how one should adopt semantic technologies in similar contexts.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Bo Hu</name><affiliations><json:string>SAP Research,</json:string><json:string>E-mail: bo01.hu@sap.com</json:string></affiliations></json:item><json:item><name>Glenn Svensson</name><affiliations><json:string>BTS EMEA, SAP AG,</json:string><json:string>E-mail: glenn.svensson@sap.com</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Even though its adoption in the enterprise environment lags behind the public domain, semantic (web) technologies, more recently the linked data initiative, started to penetrate into business domain with more and more people recognising the benefit of such technologies. An evident advantage of leveraging semantic technologies is the integration of distributed data sets that benefit companies with a great return of value. Enterprise data, however, present significantly different characteristics from public data on the Internet. These differences are evident in both technical and managerial perspectives. This paper reports a pilot study, carried out in an international organisation, aiming to provide a collaborative workspace for fast and low-overhead data sharing and integration. 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An evident advantage of leveraging semantic technologies is the integration of distributed data sets that benefit companies with a great return of value. Enterprise data, however, present significantly different characteristics from public data on the Internet. These differences are evident in both technical and managerial perspectives. This paper reports a pilot study, carried out in an international organisation, aiming to provide a collaborative workspace for fast and low-overhead data sharing and integration. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of whether and how one should adopt semantic technologies in similar contexts.</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>I13022</label><label>I18040</label><label>I14029</label><label>I18032</label><label>I18024</label><label>I18030</label><item><term>Computer Science</term></item><item><term>Computer Communication Networks</term></item><item><term>Information Systems Applications (incl.Internet)</term></item><item><term>Software Engineering</term></item><item><term>Information Storage and Retrieval</term></item><item><term>Database Management</term></item><item><term>Data Mining and Knowledge Discovery</term></item></list></keywords></textClass></profileDesc><revisionDesc><change 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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 BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-17749-1</BookID><BookTitle>The Semantic Web – ISWC 2010</BookTitle><BookSubTitle>9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part II</BookSubTitle><BookVolumeNumber>6497</BookVolumeNumber><BookSequenceNumber>6497</BookSequenceNumber><BookDOI>10.1007/978-3-642-17749-1</BookDOI><BookTitleID>215900</BookTitleID><BookPrintISBN>978-3-642-17748-4</BookPrintISBN><BookElectronicISBN>978-3-642-17749-1</BookElectronicISBN><BookChapterCount>28</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I13022" Priority="1" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I18040" Priority="2" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I14029" Priority="3" Type="Secondary">Software Engineering</BookSubject><BookSubject Code="I18032" Priority="4" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18024" Priority="5" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18030" Priority="6" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Peter</GivenName><GivenName>F.</GivenName><FamilyName>Patel-Schneider</FamilyName></EditorName><Contact><Email>pfps@research.bell-labs.com</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Yue</GivenName><FamilyName>Pan</FamilyName></EditorName><Contact><Email>panyue@cn.ibm.com</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Pascal</GivenName><FamilyName>Hitzler</FamilyName></EditorName><Contact><Email>pascal.hitzler@wright.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Peter</GivenName><FamilyName>Mika</FamilyName></EditorName><Contact><Email>pmika@yahoo-inc.com</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>Lei</GivenName><FamilyName>Zhang</FamilyName></EditorName><Contact><Email>lzhangl@cn.ibm.com</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Jeff</GivenName><GivenName>Z.</GivenName><FamilyName>Pan</FamilyName></EditorName><Contact><Email>jeff.z.pan@abdn.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff22"><EditorName DisplayOrder="Western"><GivenName>Ian</GivenName><FamilyName>Horrocks</FamilyName></EditorName><Contact><Email>ian.horrocks@comlab.ox.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff22"><EditorName DisplayOrder="Western"><GivenName>Birte</GivenName><FamilyName>Glimm</FamilyName></EditorName><Contact><Email>birte.glimm@comlab.ox.ac.uk</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>Bell Labs Research</OrgName><OrgAddress><Street>600 Mountain Avenue</Street><Postcode>07974</Postcode><City>Murray Hill</City><State>NJ</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>IBM Research Labs</OrgName><OrgAddress><Street>Dongbeiwang West Road</Street><Postcode>100193</Postcode><City>Beijing</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Department of Computer Science and Engineering</OrgDivision><OrgName>Wright State University</OrgName><OrgAddress><Street>3640 Colonel Glenn Hwy</Street><Postcode>45435</Postcode><City>Dayton</City><State>OH</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>Yahoo! Research</OrgName><OrgAddress><Street>Avinguda Diagnonal 177</Street><Postcode>08018</Postcode><City>Barcelona</City><Country>Spain</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>IBM Research Labs</OrgName><OrgAddress><Postcode>201203</Postcode><City>Shanghai</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>University of Aberdeen</OrgName><OrgAddress><Country>United Kingdom</Country></OrgAddress></Affiliation><Affiliation ID="Aff22"><OrgName>University of Oxford</OrgName><OrgAddress><Street>Parks Road</Street><Postcode>OX1 3QD</Postcode><City>Oxford</City><Country>UK</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Semantic-Web-In-Use Track</PartTitle><PartChapterCount>18</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>The Semantic Web – ISWC 2010</BookTitle></PartContext></PartInfo><Chapter ID="Chap9" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>9</ChapterID><ChapterDOI>10.1007/978-3-642-17749-1_9</ChapterDOI><ChapterSequenceNumber>9</ChapterSequenceNumber><ChapterTitle Language="En">A Case Study of Linked Enterprise Data</ChapterTitle><ChapterFirstPage>129</ChapterFirstPage><ChapterLastPage>144</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>1</PartID><BookID>978-3-642-17749-1</BookID><BookTitle>The Semantic Web – ISWC 2010</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff23"><AuthorName DisplayOrder="Western"><GivenName>Bo</GivenName><FamilyName>Hu</FamilyName></AuthorName><Contact><Email>bo01.hu@sap.com</Email></Contact></Author><Author AffiliationIDS="Aff24"><AuthorName DisplayOrder="Western"><GivenName>Glenn</GivenName><FamilyName>Svensson</FamilyName></AuthorName><Contact><Email>glenn.svensson@sap.com</Email></Contact></Author><Affiliation ID="Aff23"><OrgName>SAP Research</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff24"><OrgName>BTS EMEA, SAP AG</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Even though its adoption in the enterprise environment lags behind the public domain, semantic (web) technologies, more recently the linked data initiative, started to penetrate into business domain with more and more people recognising the benefit of such technologies. An evident advantage of leveraging semantic technologies is the integration of distributed data sets that benefit companies with a great return of value. Enterprise data, however, present significantly different characteristics from public data on the Internet. These differences are evident in both technical and managerial perspectives. This paper reports a pilot study, carried out in an international organisation, aiming to provide a collaborative workspace for fast and low-overhead data sharing and integration. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of whether and how one should adopt semantic technologies in similar contexts.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Case Study of Linked Enterprise Data</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Case Study of Linked Enterprise Data</title></titleInfo><name type="personal"><namePart type="given">Bo</namePart><namePart type="family">Hu</namePart><affiliation>SAP Research</affiliation><affiliation>E-mail: bo01.hu@sap.com</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Glenn</namePart><namePart type="family">Svensson</namePart><affiliation>BTS EMEA, SAP AG</affiliation><affiliation>E-mail: glenn.svensson@sap.com</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">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: Even though its adoption in the enterprise environment lags behind the public domain, semantic (web) technologies, more recently the linked data initiative, started to penetrate into business domain with more and more people recognising the benefit of such technologies. An evident advantage of leveraging semantic technologies is the integration of distributed data sets that benefit companies with a great return of value. Enterprise data, however, present significantly different characteristics from public data on the Internet. These differences are evident in both technical and managerial perspectives. This paper reports a pilot study, carried out in an international organisation, aiming to provide a collaborative workspace for fast and low-overhead data sharing and integration. We believe that the design considerations, study outcomes, and learnt lessons can help making decisions of whether and how one should adopt semantic technologies in similar contexts.</abstract><relatedItem type="host"><titleInfo><title>The Semantic Web – ISWC 2010</title><subTitle>9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Peter</namePart><namePart type="given">F.</namePart><namePart type="family">Patel-Schneider</namePart><affiliation>Bell Labs Research, 600 Mountain Avenue, 07974, Murray Hill, NJ, USA</affiliation><affiliation>E-mail: pfps@research.bell-labs.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yue</namePart><namePart type="family">Pan</namePart><affiliation>IBM Research Labs, Dongbeiwang West Road, 100193, Beijing, China</affiliation><affiliation>E-mail: panyue@cn.ibm.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Pascal</namePart><namePart type="family">Hitzler</namePart><affiliation>Department of Computer Science and Engineering, Wright State University, 3640 Colonel Glenn Hwy, 45435, Dayton, OH, USA</affiliation><affiliation>E-mail: pascal.hitzler@wright.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Peter</namePart><namePart type="family">Mika</namePart><affiliation>Yahoo! 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