Scientific Mashups: Runtime-Configurable Data Product Ensembles
Identifieur interne : 000483 ( Istex/Corpus ); précédent : 000482; suivant : 000484Scientific Mashups: Runtime-Configurable Data Product Ensembles
Auteurs : Bill Howe ; Harrison Green-Fishback ; David MaierSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Mashups are gaining popularity as a rapid-development, re-use-oriented programming model to replace monolithic, bottom-up application development. This programming style is attractive for the “long tail” of scientific data management applications, characterized by exploding data volumes, increasing requirements for data sharing and collaboration, but limited software engineering budgets. We observe that scientists already routinely construct a primitive, static form of mashup—an ensemble of related visualizations that convey a specific scientific message encoded as, e.g., a Powerpoint slide. Inspired by their ubiquity, we adopt these conventional data-product ensembles as a core model, endow them with interactivity, publish them online, and allow them to be repurposed at runtime by non-programmers. We observe that these scientific mashups must accommodate a wider audience than commerce-oriented and entertainment-oriented mashups. Collaborators, students (K12 through graduate), the public, and policy makers are all potential consumers, but each group has a different level of domain sophistication. We explore techniques for adapting one mashup for different audiences by attaching additional context, assigning defaults, and re-skinning component products. Existing mashup frameworks (and scientific workflow systems) emphasize an expressive “boxes-and-arrows” abstraction suitable for engineering individual products but overlook requirements for organizing products into synchronized ensembles or repurposing them for different audiences. In this paper, we articulate these requirements for scientific mashups, describe an architecture for composing mashups as interactive, reconfigurable, web-based, visualization-oriented data product ensembles, and report on an initial implementation in use at an Ocean Observatory.
Url:
DOI: 10.1007/978-3-642-02279-1_3
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ISTEX:AB3FFD8119B5E1FFF91EB7A8A9957AF3C4A26234Le document en format XML
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We explore techniques for adapting one mashup for different audiences by attaching additional context, assigning defaults, and re-skinning component products. Existing mashup frameworks (and scientific workflow systems) emphasize an expressive “boxes-and-arrows” abstraction suitable for engineering individual products but overlook requirements for organizing products into synchronized ensembles or repurposing them for different audiences. 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This programming style is attractive for the “long tail” of scientific data management applications, characterized by exploding data volumes, increasing requirements for data sharing and collaboration, but limited software engineering budgets. We observe that scientists already routinely construct a primitive, static form of mashup—an ensemble of related visualizations that convey a specific scientific message encoded as, e.g., a Powerpoint slide. Inspired by their ubiquity, we adopt these conventional data-product ensembles as a core model, endow them with interactivity, publish them online, and allow them to be repurposed at runtime by non-programmers. We observe that these scientific mashups must accommodate a wider audience than commerce-oriented and entertainment-oriented mashups. Collaborators, students (K12 through graduate), the public, and policy makers are all potential consumers, but each group has a different level of domain sophistication. We explore techniques for adapting one mashup for different audiences by attaching additional context, assigning defaults, and re-skinning component products. Existing mashup frameworks (and scientific workflow systems) emphasize an expressive “boxes-and-arrows” abstraction suitable for engineering individual products but overlook requirements for organizing products into synchronized ensembles or repurposing them for different audiences. 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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><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 BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-642-02279-1</BookID><BookTitle>Scientific and Statistical Database Management</BookTitle><BookSubTitle>21st International Conference, SSDBM 2009 New Orleans, LA, USA, June 2-4, 2009 Proceedings</BookSubTitle><BookVolumeNumber>5566</BookVolumeNumber><BookSequenceNumber>5566</BookSequenceNumber><BookDOI>10.1007/978-3-642-02279-1</BookDOI><BookTitleID>189139</BookTitleID><BookPrintISBN>978-3-642-02278-4</BookPrintISBN><BookElectronicISBN>978-3-642-02279-1</BookElectronicISBN><BookChapterCount>44</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18024" Priority="1" Type="Secondary">Database Management</BookSubject><BookSubject Code="I18030" Priority="2" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18040" Priority="3" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18032" Priority="4" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I24067" Priority="5" Type="Secondary">Management of Computing and Information Systems</BookSubject><BookSubject Code="I18059" Priority="6" Type="Secondary">Multimedia Information Systems</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Marianne</GivenName><FamilyName>Winslett</FamilyName></EditorName><Contact><Email>winslett@cs.uiuc.edu</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Department of Computer Science</OrgDivision><OrgName>University of Illinois at Urbana-Champaign</OrgName><OrgAddress><Street>201 N. Goodwin Avenue</Street><Postcode>IL 61801</Postcode><City>Urbana</City><Country>USA</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartNumber>2.</PartNumber><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Improving the End-User Experience</PartTitle><PartChapterCount>6</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Scientific and Statistical Database Management</BookTitle></PartContext></PartInfo><Chapter ID="Chap3" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>3</ChapterID><ChapterDOI>10.1007/978-3-642-02279-1_3</ChapterDOI><ChapterSequenceNumber>3</ChapterSequenceNumber><ChapterTitle Language="En">Scientific Mashups: Runtime-Configurable Data Product Ensembles</ChapterTitle><ChapterFirstPage>19</ChapterFirstPage><ChapterLastPage>36</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>2</PartID><BookID>978-3-642-02279-1</BookID><BookTitle>Scientific and Statistical Database Management</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff17"><AuthorName DisplayOrder="Western"><GivenName>Bill</GivenName><FamilyName>Howe</FamilyName></AuthorName><Contact><Email>billhowe@cs.washington.edu</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Harrison</GivenName><FamilyName>Green-Fishback</FamilyName></AuthorName><Contact><Email>hgmf@cs.pdx.edu</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Maier</FamilyName></AuthorName><Contact><Email>maier@cs.pdx.edu</Email></Contact></Author><Affiliation ID="Aff17"><OrgName>University of Washington</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>Portland State University</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Mashups are gaining popularity as a rapid-development, re-use-oriented programming model to replace monolithic, bottom-up application development. This programming style is attractive for the “long tail” of scientific data management applications, characterized by exploding data volumes, increasing requirements for data sharing and collaboration, but limited software engineering budgets.</Para><Para>We observe that scientists already routinely construct a primitive, static form of mashup—an ensemble of related visualizations that convey a specific scientific message encoded as, e.g., a Powerpoint slide. Inspired by their ubiquity, we adopt these conventional data-product ensembles as a core model, endow them with interactivity, publish them online, and allow them to be repurposed at runtime by non-programmers.</Para><Para>We observe that these scientific mashups must accommodate a wider audience than commerce-oriented and entertainment-oriented mashups. Collaborators, students (K12 through graduate), the public, and policy makers are all potential consumers, but each group has a different level of domain sophistication. We explore techniques for adapting one mashup for different audiences by attaching additional context, assigning defaults, and re-skinning component products.</Para><Para>Existing mashup frameworks (and scientific workflow systems) emphasize an expressive “boxes-and-arrows” abstraction suitable for engineering individual products but overlook requirements for organizing products into synchronized ensembles or repurposing them for different audiences.</Para><Para>In this paper, we articulate these requirements for scientific mashups, describe an architecture for composing mashups as interactive, reconfigurable, web-based, visualization-oriented data product ensembles, and report on an initial implementation in use at an Ocean Observatory.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Scientific Mashups: Runtime-Configurable Data Product Ensembles</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Scientific Mashups: Runtime-Configurable Data Product Ensembles</title></titleInfo><name type="personal"><namePart type="given">Bill</namePart><namePart type="family">Howe</namePart><affiliation>University of Washington</affiliation><affiliation>E-mail: billhowe@cs.washington.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Harrison</namePart><namePart type="family">Green-Fishback</namePart><affiliation>Portland State University</affiliation><affiliation>E-mail: hgmf@cs.pdx.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">David</namePart><namePart type="family">Maier</namePart><affiliation>Portland State University</affiliation><affiliation>E-mail: maier@cs.pdx.edu</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: Mashups are gaining popularity as a rapid-development, re-use-oriented programming model to replace monolithic, bottom-up application development. This programming style is attractive for the “long tail” of scientific data management applications, characterized by exploding data volumes, increasing requirements for data sharing and collaboration, but limited software engineering budgets. We observe that scientists already routinely construct a primitive, static form of mashup—an ensemble of related visualizations that convey a specific scientific message encoded as, e.g., a Powerpoint slide. Inspired by their ubiquity, we adopt these conventional data-product ensembles as a core model, endow them with interactivity, publish them online, and allow them to be repurposed at runtime by non-programmers. We observe that these scientific mashups must accommodate a wider audience than commerce-oriented and entertainment-oriented mashups. Collaborators, students (K12 through graduate), the public, and policy makers are all potential consumers, but each group has a different level of domain sophistication. We explore techniques for adapting one mashup for different audiences by attaching additional context, assigning defaults, and re-skinning component products. Existing mashup frameworks (and scientific workflow systems) emphasize an expressive “boxes-and-arrows” abstraction suitable for engineering individual products but overlook requirements for organizing products into synchronized ensembles or repurposing them for different audiences. In this paper, we articulate these requirements for scientific mashups, describe an architecture for composing mashups as interactive, reconfigurable, web-based, visualization-oriented data product ensembles, and report on an initial implementation in use at an Ocean Observatory.</abstract><relatedItem type="host"><titleInfo><title>Scientific and Statistical Database Management</title><subTitle>21st International Conference, SSDBM 2009 New Orleans, LA, USA, June 2-4, 2009 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Marianne</namePart><namePart type="family">Winslett</namePart><affiliation>Department of Computer Science, University of Illinois at Urbana-Champaign, 201 N. Goodwin Avenue, IL 61801, Urbana, USA</affiliation><affiliation>E-mail: winslett@cs.uiuc.edu</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 authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I24067">Management of Computing and Information Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I18059">Multimedia Information Systems</topic></subject><identifier type="DOI">10.1007/978-3-642-02279-1</identifier><identifier type="ISBN">978-3-642-02278-4</identifier><identifier type="eISBN">978-3-642-02279-1</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">189139</identifier><identifier type="BookID">978-3-642-02279-1</identifier><identifier type="BookChapterCount">44</identifier><identifier type="BookVolumeNumber">5566</identifier><identifier type="BookSequenceNumber">5566</identifier><identifier type="PartChapterCount">6</identifier><part><date>2009</date><detail type="part"><title>2.: Improving the End-User Experience</title></detail><detail 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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 type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate 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|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:AB3FFD8119B5E1FFF91EB7A8A9957AF3C4A26234
|texte= Scientific Mashups: Runtime-Configurable Data Product Ensembles
}}
| This area was generated with Dilib version V0.6.25. |  |