LEADER 05887nam 22008175 450 001 996465925103316 005 20200702095843.0 010 $a1-280-38659-2 010 $a9786613564511 010 $a3-642-13084-4 024 7 $a10.1007/978-3-642-13084-7 035 $a(CKB)2550000000011519 035 $a(SSID)ssj0000446257 035 $a(PQKBManifestationID)11325925 035 $a(PQKBTitleCode)TC0000446257 035 $a(PQKBWorkID)10491223 035 $a(PQKB)10209748 035 $a(DE-He213)978-3-642-13084-7 035 $a(MiAaPQ)EBC3065334 035 $a(PPN)149063318 035 $a(EXLCZ)992550000000011519 100 $a20100530d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Multidisciplinary Retrieval$b[electronic resource] $eFirst Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings /$fedited by Hamish Cunningham, Allan Hanbury, Stefan Rüger 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (IX, 167 p. 52 illus.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v6107 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-13083-6 320 $aIncludes bibliographical references and index. 327 $aScaling Up High-Value Retrieval to Medium-Volume Data -- Sentence-Level Attachment Prediction -- Rank by Readability: Document Weighting for Information Retrieval -- Knowledge Modeling in Prior Art Search -- Combining Wikipedia-Based Concept Models for Cross-Language Retrieval -- Exploring Contextual Models in Chemical Patent Search -- Measuring the Variability in Effectiveness of a Retrieval System -- An Information Retrieval Model Based on Discrete Fourier Transform -- Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data -- Automatic Extraction and Resolution of Bibliographical References in Patent Documents -- An Investigation of Quantum Interference in Information Retrieval -- Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities. 330 $aThese proceedings contain the refereed papers and posters presented at the ?rst Information Retrieval Facility Conference (IRFC), which was held in Vienna on 31 May 2010. The conference provides a multi-disciplinary, scienti?c forum that aims to bring young researchers into contact with industry at an early stage. IRFC 2010 received 20 high-quality submissions, of which 11 were accepted and appear here. The decision whether a paper was presented orally or as poster was solely based on what we thought was the most suitable form of communi- tion, considering we had only a single day for the event. In particular, the form of presentation bears no relation to the quality of the accepted papers, all of which were thoroughly peer reviewed and had to be endorsed by at least three independent reviewers. The Information Retrieval Facility (IRF) is an open IR research institution, managedby a scienti?c board drawnfrom a panel of internationalexperts in the ?eldwhoseroleistopromotethehighestqualityintheresearchsupportedbythe facility. As a non-pro?t research institution, the IRF provides services to IR s- ence in the form of a reference laboratory,hardwareand softwareinfrastructure. Committed to Open Science concepts, the IRF promotes publication of recent scienti?c results and newly developed methods, both in traditional paper form and as data sets freely available to IRF members. Such transparency ensures objective evaluation and comparabilityof results and consequently diversity and sustainability of their further development. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v6107 606 $aData mining 606 $aApplication software 606 $aComputer communication systems 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aDatabase management 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 607 $aWien <2010>$2swd 615 0$aData mining. 615 0$aApplication software. 615 0$aComputer communication systems. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 0$aDatabase management. 615 14$aData Mining and Knowledge Discovery. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 676 $a025.04 702 $aCunningham$b Hamish$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHanbury$b Allan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRüger$b Stefan$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465925103316 996 $aAdvances in Multidisciplinary Retrieval$92831721 997 $aUNISA