TIR 2014

Thursday, September 4th, 2014

Intelligent algorithms for data mining and information retrieval are the key technology to cope with the information need challenges in our media-centered society. Methods for text-based information retrieval receive special attention, which results from the important role of written text, from the high availability of the World Wide Web, and from the enormous impact of Web communities and social media on our life.

The development of advanced information retrieval solutions requires the understanding and the combination of methods from different research areas, including machine learning, data mining, computer linguistics, artificial intelligence, user interaction and modeling, Web engineering, or distributed systems. This workshop provides a common platform for presenting and discussing new solutions, novel ideas, or specific tools focusing on text-based information retrieval. The following list organizes classic and ongoing topics for which contributions are welcome, but are not limited to:

• Theory. Retrieval models, language models, similarity measures, formal analysis
• Web Search. Ranking, indexing, semantic search, query classification and segmentation, relevance feedback, vertical search
• Personalization and User Mining. Just-in-time retrieval, personalized retrieval, context detection, profile mining
• Multilinguality. Cross-language retrieval, machine translation, language identification
• Evaluation. Corpus construction, experiment design, performance measures
• Text Mining and Classification. Web mining, text reuse, topic identification, sentiment analysis
• NLP. Information extraction, text summarization and simplification, named entity recognition, question answering
• Social Media Analysis. Community mining, social network analysis, trend analysis, information diffusion
• Information Quality. Text quality assessment, quality-based ranking, readability assessment, trust and author reputation
• Big Data Text Analytics. Parallel and distributed retrieval, online algorithms, scalability
• Semantic Web. Meta data analysis and tagging, knowledge extraction, inference, maintenance

The workshop is held for the eleventh time. In the past, it was characterized by a stimulating atmosphere, and it attracted high quality contributions from all over the world.

Accepted papers will appear in the proceedings of DEXA'14 Workshops published by the Conference Publishing Services (CPS) of IEEE Computer Society.

• Submissions to TIR 2014 must be original, unpublished contributions.
• Papers are limited to 5 pages in IEEE format (two columns, A4) and must be written in English.
• Submission is made electronically in PDF format using our conference management system ConfDriver.
• Submitted papers will be peer-reviewed by at least three experts from the related field.
• At least one author of each accepted paper is required to register for the DEXA'14 conference, attend the workshop, and present the paper.

• April 24, 2014: Deadline for paper submission (24:00 CET)
• May 12, 2014: Notification to authors
• June 27, 2014: Camera-ready copy due
• September 4, 2014: TIR'14 workshop

• Maik Anderka (Co-Chair), University of Paderborn, Germany
• Michael Granitzer (Co-Chair), University of Passau, Germany
• Benno Stein (Co-Chair), Bauhaus-Universität Weimar, Germany

Program Committee

• Mikhail Alexandrov, Russian Presidential Academy of National Economy and Public Administration, Russia
• Alberto Barrón-Cedeño, Universitat Politécnica de Catalunya, Spain
• Richard Chbeir, Pau University, France
• Mario Döller, University of Applied Science FH Kufstein Tirol, Germany
• Marcelo Luis Errecalde, Universidad Nacional de San Luis, Argentina
• Edgardo Ferretti, Universidad Nacional de San Luis, Argentina
• Marc Franco Salvador, Universitat Politécnica de Valéncia, Spain
• Ingo Frommholz, University of Bedfordshire, UK
• Thomas Gottron, Universität Koblenz-Landau, Germany
• Christian Gütl, Technical University Graz, Austria
• Andreas Hotho, Julius-Maximilians-Universität Würzburg, Germany
• Roman Kern, Know-Center Graz, Austria
• Timo Klerx, University of Paderborn, Germany
• Elisabeth Lex, Know-Center Graz, Austria
• Nedim Lipka, Adobe Research, USA
• Mihai Lupu, ESTeam AB / Vienna University of Technology, Sweden / Austria
• Matthias Lux, Klagenfurt University, Austria
• Thomas Mandl, University of Hildesheim, Germany
• Sven Meyer zu Eissen, Bayer Business Services GmbH, Germany
• Oliver Niggemann, Ostwestfalen-Lippe University, Germany
• Adrián Pastor López Monroy, National Institute of Astrophysics, Optics and Electronics, Mexico
• David Pinto, B. Autonomous University of Puebla, Mexico
• Paolo Rosso, Universitat Politécnica de Valéncia, Spain
• Harald Sack, Universität Potsdam, Germany
• Marina Santini, Santa Anna IT Research Institute, Sweden
• Ralf Schenkel, Max-Planck-Institut für Informatik, Germany
• Christin Seifert, University of Passau, Germany
• Serge Sharoff, University of Leeds, UK
• Efstathios Stamatatos, University of the Aegean, Greece
• Nadine Steinmetz, Hasso-Plattner-Institut für Softwaresystemtechnik GmbH, Germany
• Andrew Trotman, University of Otago, New Zealand
• Eloisa Vargiu, Barcelona Digital, Spain
• Henning Wachsmuth, University of Paderborn, Germany
• Rob Warren, University of Waterloo, Canada
• Tim Weninger, University of Illinois Urbana-Champaign, USA