Hamish Cunningham

Advances in Multidisciplinary Retrieval - Lecture Notes in Computer Science / Information Systems and Applications, Incl. Internet / Web, and Hci Hamish Cunningham

Marc Notes: Includes bibliographical references and index.; Title from PDF t.p. (SpringerLink, viewed June 7, 2010). Table of Contents: Scaling Up High-Value Retrieval to Medium-Volume Data / Hamish Cunningham, Allan Hanbury, Stefan RUger -- Sentence-level Attachment Prediction / M-Dyaa Albakour, Udo Kruschwitz, Simon Lucas -- Rank by Readability: Document Weighting for Information Retrieval / Neil Newbold, Harry McLaughlin, Lee Gillam -- Knowledge Modeling in Prior Art Search / Erik Graf, Ingo Frommholz, Mounia Lalmas, Keith van Rijsbergen -- Combining Wikipedia-Based Concept Models for Cross-Language Retrieval / Benjamin Roth, Dietrich Klakow -- Exploring Contextual Models in Chemical Patent Search / Jay Urbain, Ophir Frieder -- Measuring the Variability in Effectiveness of a Retrieval System / Mehdi Hosseini, Ingemar J. Cox, Natasa Millic-Frayling, Vishwa Vinay -- An Information Retrieval Model Based on Discrete Fourier Transform / Alberto Costa, Massimo Melucci -- Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data / Iraklis Angelos Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam -- Automatic Extraction and Resolution of Bibliographical References in Patent Documents / Patrice Lopez -- An Investigation of Quantum Interference in Information Retrieval / Massimo Melucci -- Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities / Bernd MUller, Roman Klinger, Harsha Gurulingappa, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck, Christoph M. Friedrich -- Author Index. Publisher Marketing: These 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