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Knowledge-Based Intelligent Information and Engineering Systems

7th INternational Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part I.

  • Vasile Palade
  • Robert J. Howlett
  • Lakhmi Jain
Conference proceedings KES 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2773)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2773)

Table of contents

  1. Front Matter
  2. Keynote Lectures

  3. General Session Papers

    1. Knowledge-Based Systems

      1. Takehisa Takahashi, Yuichi Umeda, Hajime Sawamura
        Pages 28-38
      2. Maamar El-Amine Hamri, Claudia Frydman, Lucile Torres
        Pages 39-44
      3. Guy Camilleri, Jean-Luc Soubie, Joseph Zalaket
        Pages 45-52
      4. Joseph Zalaket, Guy Camilleri
        Pages 53-60
      5. Osvaldo Cairó, Julio César Alvarez
        Pages 61-67
      6. Ernesto Compatangelo, Helmut Meisel
        Pages 81-88
      7. Chan Le Duc, Nhan Le Thanh
        Pages 89-98
      8. Michal Ševčenko
        Pages 99-103
      9. Udo Trutschel, Rainer Guttkuhn, Anneke Heitmann, Acacia Aguirre, Martin Moore-Ede
        Pages 104-110
    2. Neural Networks and Applications

      1. Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin
        Pages 155-162
      2. Haruhiko Nishimura, Natsuki Nagao, Nobuyuki Matsui
        Pages 170-176
      3. Paolo Crippa, Claudio Turchetti
        Pages 177-183
      4. F. M. Richardson, N. Davey, L. Peters, D. J. Done, S. H. Anthony
        Pages 191-198
      5. D. K. Tasoulis, P. Spyridonos, N. G. Pavlidis, D. Cavouras, P. Ravazoula, G. Nikiforidis et al.
        Pages 199-206
    3. Fuzzy Systems and Uncertain Reasoning

      1. Germano Resconi, Chiara Ratti
        Pages 207-212
      2. Petr Ekel, Efim Galperin, Reinaldo Palhares, Claudio Campos, Marina Silva
        Pages 229-236
      3. Alexandre G. Evsukoff, Nelson F. F. Ebecken
        Pages 237-243
      4. Paulo Salgado
        Pages 244-250
      5. Mustafa Resa Becan, Ahmet Kuzucu
        Pages 251-257
      6. Hitoshi Kanoh, Yun Wu
        Pages 258-264
      7. L. Baumes, P. Jouve, D. Farrusseng, M. Lengliz, N. Nicoloyannis, C. Mirodatos
        Pages 265-270
      8. M. Köster, A. Grauel, G. Klene, H. Convey
        Pages 287-292
    4. Machine Learning a n d Applications

      1. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki
        Pages 317-324
      2. Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz
        Pages 325-331
      3. Nicolas Labroche, Nicolas Monmarché, Gilles Venturini
        Pages 332-338
      4. Nazlı İkizler, H. Altay Güvenir
        Pages 339-345

Other volumes

  1. Knowledge-Based Intelligent Information and Engineering Systems
    7th INternational Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part I.
  2. 7th International Conference, KES 2003, Oxford, UK, September 2003. Proceedings, Part II

About these proceedings

Introduction

2.1 Text Summarization “Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks)” [3]. Basic and classical articles in text summarization appear in “Advances in automatic text summarization” [3]. A literature survey on information extraction and text summarization is given by Zechner [7]. In general, the process of automatic text summarization is divided into three stages: (1) analysis of the given text, (2) summarization of the text, (3) presentation of the summary in a suitable output form. Titles, abstracts and keywords are the most common summaries in Academic papers. Usually, the title, the abstract and the keywords are the first, second, and third parts of an Academic paper, respectively. The title usually describes the main issue discussed in the study and the abstract presents the reader a short description of the background, the study and its results. A keyword is either a single word (unigram), e.g.: ‘learning', or a collocation, which means a group of two or more words, representing an important concept, e.g.: ‘machine learning', ‘natural language processing'. Retrieving collocations from text was examined by Smadja [5] and automatic extraction of collocations was examined by Kita et al. [1].

Keywords

case-based reasoning data mining fuzzy fuzzy logic human-computer interaction (HCI) information retrieval intelligent systems knowledge discovery knowledge-based system knowledge-based systems learning machine learning ontology uncertainty

Editors and affiliations

  • Vasile Palade
    • 1
  • Robert J. Howlett
    • 2
  • Lakhmi Jain
    • 3
  1. 1. Computing LaboratoryOxford UniversityUnited Kingdom
  2. 2.Intelligent Systems and Signal Processing Labs, Moulsecoomb University of BrightonBrightonUnited Kingdom
  3. 3.Knowledge-Based Intelligent Engineering Systems Centre, Mawson LakesUniversity of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-45224-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40803-1
  • Online ISBN 978-3-540-45224-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site