Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings
These proceedings contain the refereed papers and posters presented at the first Information Retrieval Facility Conference (IRFC), which was held in Vienna on 31 May 2010. The conference provides a multi-disciplinary, scientific 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 communication, 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 scientific board drawnfrom a panel of internationalexperts in the  field whose role is to promote the highest quality in the research supported by the facility. As a non-profit 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 scientific 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.
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Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings
These proceedings contain the refereed papers and posters presented at the first Information Retrieval Facility Conference (IRFC), which was held in Vienna on 31 May 2010. The conference provides a multi-disciplinary, scientific 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 communication, 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 scientific board drawnfrom a panel of internationalexperts in the  field whose role is to promote the highest quality in the research supported by the facility. As a non-profit 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 scientific 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.
54.99 In Stock
Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings

Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings

Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings

Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings

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Overview

These proceedings contain the refereed papers and posters presented at the first Information Retrieval Facility Conference (IRFC), which was held in Vienna on 31 May 2010. The conference provides a multi-disciplinary, scientific 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 communication, 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 scientific board drawnfrom a panel of internationalexperts in the  field whose role is to promote the highest quality in the research supported by the facility. As a non-profit 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 scientific 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.

Product Details

ISBN-13: 9783642130830
Publisher: Springer Berlin Heidelberg
Publication date: 07/16/2010
Series: Lecture Notes in Computer Science , #6107
Edition description: 2010
Pages: 167
Product dimensions: 6.00(w) x 9.20(h) x 0.50(d)

Table of Contents

Scaling Up High-Value Retrieval to Medium-Volume Data Hamish Cunningham Allan Hanbury Stefan Rüger 1

Sentence-level Attachment Prediction M-Dyaa Albakour Udo Kruschwitz Simon Lucas 6

Rank by Readability: Document Weighting for Information Retrieval Neil Newbold Harry McLaughlin Lee Gillam 20

Knowledge Modeling in Prior Art Search Erik Graf Ingo Frommholz Mounia Lalmas Keith van Rijsbergen 31

Combining Wikipedia-Based Concept Models for Cross-Language Retrieval Benjamin Roth Dietrich Klakow 47

Exploring Contextual Models in Chemical Patent Search Jay Urbain Ophir Frieder 60

Measuring the Variability in Effectiveness of a Retrieval System Mehdi Hosseini Ingemar J. Cox Natasa Millic-Frayling Vishwa Vinay 70

An Information Retrieval Model Based on Discrete Fourier Transform Alberto Costa Massimo Melucci 84

Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data Iraklis Angelos Klampanos Hengzhi Wu Thomas Roelleke Hany Azzam 100

Automatic Extraction and Resolution of Bibliographical References in Patent Documents Patrice Lopez 120

An Investigation of Quantum Interference in Information Retrieval Massimo Melucci 136

Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities Bernd Müller Roman Klinger Harsha Gurulingappa Heinz-Theodor Mevissen Martin Hofmann-Apitius Juliane Fluck Christoph M. Friedrich 152

Author Index 167

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