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A knowledge discovery tool for mobile worker support
Our task was to design a knowledge discovery tool for field force engineers. We wanted to bring the power of Web 2.0 interfaces to allow engineers to better interact with their data repository, the Intranet, and between themselves in general. Web 2.0 is both attractive on performance related issues...
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| creator | Ducatel, G. Virginas, B. |
| description | Our task was to design a knowledge discovery tool for field force engineers. We wanted to bring the power of Web 2.0 interfaces to allow engineers to better interact with their data repository, the Intranet, and between themselves in general. Web 2.0 is both attractive on performance related issues (better search, classification, etc...) and has proven to be successful and therefore familiar. We designed our system based on some constraints which are inherent to field force working operations. The interaction has to be fast, to the point, and absolutely minimise the amount of typing. Engineers do write reports for every job they complete and our goal was to facilitate search based on these reports. Our system can turn reports into search engine queries, and suggest tags so that engineers can also save those reports together with meta data. |
| doi_str_mv | 10.1109/ICCIE.2009.5223498 |
| format | conference_proceeding |
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Our system can turn reports into search engine queries, and suggest tags so that engineers can also save those reports together with meta data.</description><subject>automated tagging</subject><subject>Clustering algorithms</subject><subject>Collaborative work</subject><subject>Design engineering</subject><subject>knowledge discovery</subject><subject>Knowledge engineering</subject><subject>Maintenance engineering</subject><subject>Power engineering and energy</subject><subject>query engine</subject><subject>search</subject><subject>Search engines</subject><subject>Support vector machine classification</subject><subject>Support vector machines</subject><subject>Tagging</subject><isbn>9781424441358</isbn><isbn>1424441358</isbn><isbn>1424441366</isbn><isbn>9781424441365</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j81Kw0AUhUekoK15Ad3MCyTeO3_JXZZQNVBwo-uSZG4kNnXCJFr69irWszl8cPjgCHGLkCEC3VdlWW0yBUCZVUobKi7EEo0yxqB27lIklBf_bIuFWP5uCVBreyWSaXqHnxircrLXwqzl_iMcB_ZvLH0_teGL40nOIQyyC1EeQtMPLI8h7jnK6XMcQ5xvxKKrh4mTc6_E68PmpXxKt8-PVbnepj3mdk4tQw6E5FSrFNRea9U4tlwD2dZotIqatmhQITrvQJO3Dbnc57Uvuq4FvRJ3f96emXdj7A91PO3Or_U3FGNH1w</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Ducatel, G.</creator><creator>Virginas, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200907</creationdate><title>A knowledge discovery tool for mobile worker support</title><author>Ducatel, G. ; Virginas, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5e07091962c220ad332b6e5ea095c431529bc8b12116d6039d5b967d7ad8ffc03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>automated tagging</topic><topic>Clustering algorithms</topic><topic>Collaborative work</topic><topic>Design engineering</topic><topic>knowledge discovery</topic><topic>Knowledge engineering</topic><topic>Maintenance engineering</topic><topic>Power engineering and energy</topic><topic>query engine</topic><topic>search</topic><topic>Search engines</topic><topic>Support vector machine classification</topic><topic>Support vector machines</topic><topic>Tagging</topic><toplevel>online_resources</toplevel><creatorcontrib>Ducatel, G.</creatorcontrib><creatorcontrib>Virginas, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ducatel, G.</au><au>Virginas, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A knowledge discovery tool for mobile worker support</atitle><btitle>2009 International Conference on Computers & Industrial Engineering</btitle><stitle>ICCIE</stitle><date>2009-07</date><risdate>2009</risdate><spage>1390</spage><epage>1394</epage><pages>1390-1394</pages><isbn>9781424441358</isbn><isbn>1424441358</isbn><eisbn>1424441366</eisbn><eisbn>9781424441365</eisbn><abstract>Our task was to design a knowledge discovery tool for field force engineers. We wanted to bring the power of Web 2.0 interfaces to allow engineers to better interact with their data repository, the Intranet, and between themselves in general. Web 2.0 is both attractive on performance related issues (better search, classification, etc...) and has proven to be successful and therefore familiar. We designed our system based on some constraints which are inherent to field force working operations. The interaction has to be fast, to the point, and absolutely minimise the amount of typing. Engineers do write reports for every job they complete and our goal was to facilitate search based on these reports. Our system can turn reports into search engine queries, and suggest tags so that engineers can also save those reports together with meta data.</abstract><pub>IEEE</pub><doi>10.1109/ICCIE.2009.5223498</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781424441358 |
| ispartof | 2009 International Conference on Computers & Industrial Engineering, 2009, p.1390-1394 |
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| language | eng |
| recordid | cdi_ieee_primary_5223498 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | automated tagging Clustering algorithms Collaborative work Design engineering knowledge discovery Knowledge engineering Maintenance engineering Power engineering and energy query engine search Search engines Support vector machine classification Support vector machines Tagging |
| title | A knowledge discovery tool for mobile worker support |
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