Advances in Information Retrieval

1. Front Matter

   Pages I-XIII

   PDF

2. Multimedia

   1. Evaluating a Melody Extraction Engine

      • Thomas Sødring, Alan F. Smeaton

      Pages 1-21

   2. Organising and Searching Partially Indexed Image Databases

      • Gérald Duffing, Malika Smaïl

      Pages 22-40

   3. Combining Features for Content-Based Sketch Retrieval — A Comparative Evaluation of Retrieval Performance

      • Daniel Heesch, Stefan Rüger

      Pages 41-52

3. The Web

   1. Combining Web Document Representations in a Bayesian Inference Network Model Using Link and Content-Based Evidence

      • Theodora Tsikrika, Mounia Lalmas

      Pages 53-72

   2. An Improved Computation of the PageRank Algorithm

      • Sung Jin Kim, Sang Ho Lee

      Pages 73-85

   3. Serving Enhanced Hypermedia Information

      • George Lepouras, Costas Vassilakis, George R. S. Weir

      Pages 86-92

4. Query Modification

   1. The Use of Implicit Evidence for Relevance Feedback in Web Retrieval

      • Ryen W. White, Ian Ruthven, Joemon M. Jose

      Pages 93-109

   2. Subject Knowledge, Source of Terms, and Term Selection in Query Expansion: An Analytical Study

      • Pertti Vakkari

      Pages 110-123

   3. Automatic Profile Reformulation Using a Local Document Analysis

      • Anis Benammar, Gilles Hubert, Josiane Mothe

      Pages 124-134

5. Soft Computing

   1. A Study on Using Genetic Niching for Query Optimisation in Document Retrieval

      • Mohand Boughanem, Lynda Tamine

      Pages 135-149

   2. Concept Based Adaptive IR Model Using FCA-BAM Combination for Concept Representation and Encoding

      • R. K. Rajapakse, M. Denham

      Pages 150-168

6. Models

   1. A Layered Bayesian Network Model for Document Retrieval

      • Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete

      Pages 169-182

   2. Term Frequency Normalization via Pareto Distributions

      • Gianni Amati, Cornelis Joost van Rijsbergen

      Pages 183-192

   3. Optimal Mixture Models in IR

      • Victor Lavrenko

      Pages 193-212

7. Categorization

   1. Text Categorization: An Experiment Using Phrases

      • Madhusudhan Kongovi, Juan Carlos Guzman, Venu Dasigi

      Pages 213-228

   2. A Hierarchical Model for Clustering and Categorising Documents

      • E. Gaussier, C. Goutte, K. Popat, F. Chen

      Pages 229-247

   3. Uncertainty-Based Noise Reduction and Term Selection in Text Categorization

      • C. Peters, C. H. A. Koster

      Pages 248-267

8. Structured Documents

   1. A Graphical User Interface for Structured Document Retrieval

      • Jesús Vegas, Pablo de la Fuente, Fabio Crestani

      Pages 268-283

   2. The Accessibility Dimension for Structured Document Retrieval

      • Thomas Roelleke, Mounia Lalmas, Gabriella Kazai, Ian Ruthven, Stefan Quicker

      Pages 284-302

The annual colloquium on information retrieval research provides an opportunity for both new and established researchers to present papers describing work in progress or ?nal results. This colloquium was established by the BCS IRSG(B- tish Computer Society Information Retrieval Specialist Group), and named the Annual Colloquium on Information Retrieval Research. Recently, the location of the colloquium has alternated between the United Kingdom and continental Europe. To re?ect the growing European orientation of the event, the colloquium was renamed “European Annual Colloquium on Information Retrieval Research” from 2001. Since the inception of the colloquium in 1979 the event has been hosted in the city of Glasgow on four separate occasions. However, this was the ?rst time that the organization of the colloquium had been jointly undertaken by three separate computer and information science departments; an indication of the collaborative nature and diversity of IR research within the universities of the West of Scotland. The organizers of ECIR 2002 saw a sharp increase in the number of go- quality submissions in answer to the call for papers over previous years and as such 52 submitted papers were each allocated 3 members of the program committee for double blind review of the manuscripts. A total of 23 papers were eventually selected for oral presentation at the colloquium in Glasgow which gave an acceptance rate of less than 45% and ensured a very high standard of the papers presented.

• Bayesian inference
• Categorization
• Document Analysis
• Document Retrieval
• Information Extraction
• Knowledge Discovery
• Multimedia
• Performance
• Query Languages
• Query Processing
• Web
• Web-Information Retrieval
• algorithms
• database
• optimization

• Department of Computer and Information Sciences, University of Strathclyde, Glasgow, UK

  Fabio Crestani

• School of Information and Communication Technologies, University of Paisley, Paisley, UK

  Mark Girolami

• Computing Science Department, University of Glasgow, Glasgow, UK

  Cornelis Joost Rijsbergen

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