Information supply for business processes: coupling workflow with document analysis and information retrieval
Identifieur interne : 003003 ( Istex/Corpus ); précédent : 003002; suivant : 003004Information supply for business processes: coupling workflow with document analysis and information retrieval
Auteurs : A. Abecker ; A. Bernardi ; H. Maus ; M. Sintek ; C. WenzelSource :
- Knowledge-Based Systems [ 0950-7051 ] ; 2000.
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Abstract
Explicit modeling of business processes and their enactment in workflow systems have proved to be valuable in increasing the efficiency of work in organizations. We argue that enacted business processes — i.e. workflow management systems — form a solid basis for adequate information support in complex and knowledge-intensive business processes. To support this claim we demonstrate results from two different projects. The VirtualOffice approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows. The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined.
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DOI: 10.1016/S0950-7051(00)00087-3
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ISTEX:9268B71EA87B54D59A6E16304F88CEA98D5DC0E2Le document en format XML
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We argue that enacted business processes — i.e. workflow management systems — form a solid basis for adequate information support in complex and knowledge-intensive business processes. To support this claim we demonstrate results from two different projects. The VirtualOffice approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows. The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>A Abecker</name><affiliations><json:string>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</json:string><json:string>E-mail: aabecker@dfki.uni-kl.de</json:string></affiliations></json:item><json:item><name>A Bernardi</name><affiliations><json:string>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</json:string><json:string>E-mail: aabecker@dfki.uni-kl.de</json:string></affiliations></json:item><json:item><name>H Maus</name><affiliations><json:string>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. 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The VirtualOffice approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows. The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined.</abstract><qualityIndicators><score>6.692</score><pdfVersion>1.2</pdfVersion><pdfPageSize>595 x 794 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>3</keywordCount><abstractCharCount>1010</abstractCharCount><pdfWordCount>7651</pdfWordCount><pdfCharCount>48927</pdfCharCount><pdfPageCount>14</pdfPageCount><abstractWordCount>141</abstractWordCount></qualityIndicators><title>Information supply for business processes: coupling workflow with document analysis and information retrieval</title><pii><json:string>S0950-7051(00)00087-3</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>13</volume><pii><json:string>S0950-7051(00)X0035-4</json:string></pii><pages><last>284</last><first>271</first></pages><issn><json:string>0950-7051</json:string></issn><issue>5</issue><genre><json:string>Journal</json:string></genre><language><json:string>unknown</json:string></language><title>Knowledge-Based Systems</title><publicationDate>2000</publicationDate></host><categories><wos><json:string>COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</json:string></wos></categories><publicationDate>2000</publicationDate><copyrightDate>2000</copyrightDate><doi><json:string>10.1016/S0950-7051(00)00087-3</json:string></doi><id>9268B71EA87B54D59A6E16304F88CEA98D5DC0E2</id><fulltext><json:item><original>true</original><mimetype>application/pdf</mimetype><extension>pdf</extension><uri>https://api.istex.fr/document/9268B71EA87B54D59A6E16304F88CEA98D5DC0E2/fulltext/pdf</uri></json:item><json:item><original>true</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/9268B71EA87B54D59A6E16304F88CEA98D5DC0E2/fulltext/txt</uri></json:item><json:item><original>false</original><mimetype>application/zip</mimetype><extension>zip</extension><uri>https://api.istex.fr/document/9268B71EA87B54D59A6E16304F88CEA98D5DC0E2/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/9268B71EA87B54D59A6E16304F88CEA98D5DC0E2/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Information supply for business processes: coupling workflow with document analysis and information retrieval</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>ELSEVIER</p></availability><date>2000</date></publicationStmt><notesStmt><note type="content">Fig. 1: Information support for workflows: a common description frame.</note><note type="content">Fig. 2: Document analysis and understanding: steps and results.</note><note type="content">Fig. 3: Information support by process identification for paper documents.</note><note type="content">Fig. 4: Expectation generation.</note><note type="content">Fig. 5: Information support by information extraction from paper documents.</note><note type="content">Fig. 6: Active support by suggesting relevant information material.</note><note type="content">Fig. 7: Context-aware support: information from earlier activities is taken into account.</note><note type="content">Fig. 8: Information support by information retrieval for knowledge intensive tasks.</note><note type="content">Fig. 9: The KnowMore extensions fit well into the WfMC standard workflow architecture.</note><note type="content">Fig. 10: Role of context, information need, and ontologies within the common description frame.</note><note type="content">Fig. 11: Coupling intelligent assistants with WfMSs: wishful thinking.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Information supply for business processes: coupling workflow with document analysis and information retrieval</title><author><persName><forename type="first">A</forename><surname>Abecker</surname></persName><email>aabecker@dfki.uni-kl.de</email><note type="correspondence"><p>Corresponding author. Tel.: +49-631205-3456; fax: +49-631205-3210</p></note><affiliation>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</affiliation></author><author><persName><forename type="first">A</forename><surname>Bernardi</surname></persName><email>aabecker@dfki.uni-kl.de</email><affiliation>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</affiliation></author><author><persName><forename type="first">H</forename><surname>Maus</surname></persName><email>aabecker@dfki.uni-kl.de</email><affiliation>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</affiliation></author><author><persName><forename type="first">M</forename><surname>Sintek</surname></persName><email>aabecker@dfki.uni-kl.de</email><affiliation>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</affiliation></author><author><persName><forename type="first">C</forename><surname>Wenzel</surname></persName><email>aabecker@dfki.uni-kl.de</email><affiliation>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</affiliation></author></analytic><monogr><title level="j">Knowledge-Based Systems</title><title level="j" type="abbrev">KNOSYS</title><idno type="pISSN">0950-7051</idno><idno type="PII">S0950-7051(00)X0035-4</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2000"></date><biblScope unit="volume">13</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="271">271</biblScope><biblScope unit="page" to="284">284</biblScope></imprint></monogr><idno type="istex">9268B71EA87B54D59A6E16304F88CEA98D5DC0E2</idno><idno type="DOI">10.1016/S0950-7051(00)00087-3</idno><idno type="PII">S0950-7051(00)00087-3</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2000</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Explicit modeling of business processes and their enactment in workflow systems have proved to be valuable in increasing the efficiency of work in organizations. We argue that enacted business processes — i.e. workflow management systems — form a solid basis for adequate information support in complex and knowledge-intensive business processes. To support this claim we demonstrate results from two different projects. The VirtualOffice approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows. The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Knowledge management</term></item><item><term>Document analysis</term></item><item><term>Workflow</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2000-07-31">Registration</change><change when="2000">Published</change></revisionDesc></teiHeader></istex:fulltextTEI></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity><istex:entity SYSTEM="gr5" NDATA="IMAGE" name="gr5"></istex:entity><istex:entity SYSTEM="gr6" NDATA="IMAGE" name="gr6"></istex:entity><istex:entity SYSTEM="gr7" NDATA="IMAGE" name="gr7"></istex:entity><istex:entity SYSTEM="gr8" NDATA="IMAGE" name="gr8"></istex:entity><istex:entity SYSTEM="gr9" NDATA="IMAGE" name="gr9"></istex:entity><istex:entity SYSTEM="gr10" NDATA="IMAGE" name="gr10"></istex:entity><istex:entity SYSTEM="gr11" NDATA="IMAGE" name="gr11"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>KNOSYS</jid><aid>1268</aid><ce:pii>S0950-7051(00)00087-3</ce:pii><ce:doi>10.1016/S0950-7051(00)00087-3</ce:doi><ce:copyright type="full-transfer" year="2000">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Information supply for business processes: coupling workflow with document analysis and information retrieval</ce:title><ce:author-group><ce:author><ce:given-name>A</ce:given-name><ce:surname>Abecker</ce:surname><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>aabecker@dfki.uni-kl.de</ce:e-address></ce:author><ce:author><ce:given-name>A</ce:given-name><ce:surname>Bernardi</ce:surname><ce:e-address>bernardi@dfki.uni-kl.de</ce:e-address></ce:author><ce:author><ce:given-name>H</ce:given-name><ce:surname>Maus</ce:surname><ce:e-address>maus@dfki.uni-kl.de</ce:e-address></ce:author><ce:author><ce:given-name>M</ce:given-name><ce:surname>Sintek</ce:surname><ce:e-address>sintek@dfki.uni-kl.de</ce:e-address></ce:author><ce:author><ce:given-name>C</ce:given-name><ce:surname>Wenzel</ce:surname><ce:e-address>wenzel@dfki.uni-kl.de</ce:e-address></ce:author><ce:affiliation><ce:textfn>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. Box 2080, D-67608 Kaiserslautern, Germany</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +49-631205-3456; fax: +49-631205-3210</ce:text></ce:correspondence></ce:author-group><ce:date-received day="11" month="7" year="2000"></ce:date-received><ce:date-accepted day="31" month="7" year="2000"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>Explicit modeling of business processes and their enactment in workflow systems have proved to be valuable in increasing the efficiency of work in organizations. We argue that enacted business processes — i.e. workflow management systems — form a solid basis for adequate information support in complex and knowledge-intensive business processes. To support this claim we demonstrate results from two different projects.</ce:simple-para><ce:simple-para>The VirtualOffice approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows.</ce:simple-para><ce:simple-para>The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword" xml:lang="en"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Knowledge management</ce:text></ce:keyword><ce:keyword><ce:text>Document analysis</ce:text></ce:keyword><ce:keyword><ce:text>Workflow</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Information supply for business processes: coupling workflow with document analysis and information retrieval</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Information supply for business processes: coupling workflow with document analysis and information retrieval</title></titleInfo><name type="personal"><namePart type="given">A</namePart><namePart type="family">Abecker</namePart><affiliation>German Research Center for Artificial Intelligence (DFKI) GmbH, P.O. 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Box 2080, D-67608 Kaiserslautern, Germany</affiliation><affiliation>E-mail: aabecker@dfki.uni-kl.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2000</dateIssued><dateValid encoding="w3cdtf">2000-07-31</dateValid><copyrightDate encoding="w3cdtf">2000</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Explicit modeling of business processes and their enactment in workflow systems have proved to be valuable in increasing the efficiency of work in organizations. We argue that enacted business processes — i.e. workflow management systems — form a solid basis for adequate information support in complex and knowledge-intensive business processes. To support this claim we demonstrate results from two different projects. The VirtualOffice approach employs workflow-context information to support high-precision document analysis and understanding in standard office settings; the combination of workflow context and document analysis allows for the automatic handling of incoming paper mail with respect to the appropriate workflows. The KnowMore approach focuses on the support of people who work on knowledge-intensive tasks by automatic delivery of relevant and goal-specific information. To this end, workflow context, an extended process model, and a detailed modeling of information sources are combined.</abstract><note type="content">Fig. 1: Information support for workflows: a common description frame.</note><note type="content">Fig. 2: Document analysis and understanding: steps and results.</note><note type="content">Fig. 3: Information support by process identification for paper documents.</note><note type="content">Fig. 4: Expectation generation.</note><note type="content">Fig. 5: Information support by information extraction from paper documents.</note><note type="content">Fig. 6: Active support by suggesting relevant information material.</note><note type="content">Fig. 7: Context-aware support: information from earlier activities is taken into account.</note><note type="content">Fig. 8: Information support by information retrieval for knowledge intensive tasks.</note><note type="content">Fig. 9: The KnowMore extensions fit well into the WfMC standard workflow architecture.</note><note type="content">Fig. 10: Role of context, information need, and ontologies within the common description frame.</note><note type="content">Fig. 11: Coupling intelligent assistants with WfMSs: wishful thinking.</note><subject lang="en"><genre>Keywords</genre><topic>Knowledge management</topic><topic>Document analysis</topic><topic>Workflow</topic></subject><relatedItem type="host"><titleInfo><title>Knowledge-Based Systems</title></titleInfo><titleInfo type="abbreviated"><title>KNOSYS</title></titleInfo><genre type="Journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">200010</dateIssued></originInfo><identifier type="ISSN">0950-7051</identifier><identifier type="PII">S0950-7051(00)X0035-4</identifier><part><date>200010</date><detail type="volume"><number>13</number><caption>vol.</caption></detail><detail type="issue"><number>5</number><caption>no.</caption></detail><extent unit="issue pages"><start>235</start><end>360</end></extent><extent unit="pages"><start>271</start><end>284</end></extent></part></relatedItem><identifier type="istex">9268B71EA87B54D59A6E16304F88CEA98D5DC0E2</identifier><identifier type="DOI">10.1016/S0950-7051(00)00087-3</identifier><identifier type="PII">S0950-7051(00)00087-3</identifier><accessCondition type="use and reproduction" contentType="">© 2000Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2000</recordOrigin></recordInfo></mods></metadata><enrichments><istex:catWosTEI uri="https://api.istex.fr/document/9268B71EA87B54D59A6E16304F88CEA98D5DC0E2/enrichments/catWos"><teiHeader><profileDesc><textClass><classCode scheme="WOS">COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE</classCode></textClass></profileDesc></teiHeader></istex:catWosTEI></enrichments><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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