LEADER 04481nam 2200601 a 450 001 9910484603703321 005 20200520144314.0 010 $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 $a20100412d2010 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in multidisciplinary retrieval $eFirst Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010 : proceedings /$fHamish Cunningham, Allan Hanbury, Stefan Ruger (eds.) 205 $a1st ed. 210 $aNew York $cSpringer$d2010 215 $a1 online resource (IX, 167 p. 52 illus.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v6107 225 1 $aLNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI 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 $aThese proceedings contain the refereed papers and posters presented at the ?rst Information Retrieval Facility Conference (IRFC), which was held in Vienna on 31 May 2010. The conference provides a multi-disciplinary, scienti?c forum that aims to bring young researchers into contact with industry at an early stage. IRFC 2010 received 20 high-quality submissions, of which 11 were accepted and appear here. The decision whether a paper was presented orally or as poster was solely based on what we thought was the most suitable form of communi- tion, considering we had only a single day for the event. In particular, the form of presentation bears no relation to the quality of the accepted papers, all of which were thoroughly peer reviewed and had to be endorsed by at least three independent reviewers. The Information Retrieval Facility (IRF) is an open IR research institution, managedby a scienti?c board drawnfrom a panel of internationalexperts in the ?eldwhoseroleistopromotethehighestqualityintheresearchsupportedbythe facility. As a non-pro?t research institution, the IRF provides services to IR s- ence in the form of a reference laboratory,hardwareand softwareinfrastructure. Committed to Open Science concepts, the IRF promotes publication of recent scienti?c results and newly developed methods, both in traditional paper form and as data sets freely available to IRF members. Such transparency ensures objective evaluation and comparabilityof results and consequently diversity and sustainability of their further development. 410 0$aLecture notes in computer science ;$v6107. 410 0$aLNCS sublibrary.$nSL 3,$pInformation systems and applications, incl. Internet/Web, and HCI. 606 $aInformation storage and retrieval systems$vCongresses 615 0$aInformation storage and retrieval systems 676 $a025.04 701 $aCunningham$b Hamish$01762520 701 $aHanbury$b Allan$01735756 701 $aRuger$b Stefan$01762521 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484603703321 996 $aAdvances in multidisciplinary retrieval$94202504 997 $aUNINA