Methods and Applications of Artificial Intelligence

1. Front Matter

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2. Invited Talks

   1. Constraint Satisfaction, Complexity, and Logic

      • Phokion G. Kolaitis

      Pages 1-2

   2. Dynamic Discovery, Invocation and Composition of Semantic Web Services

      • Katia Sycara

      Pages 3-12

3. Information Management

   1. Data Brokers: Building Collections through Automated Negotiation

      • Fillia Makedon, Song Ye, Sheng Zhang, James Ford, Li Shen, Sarantos Kapidakis

      Pages 13-22

   2. P2P-DIET: Ad-hoc and Continuous Queries in Peer-to-Peer Networks Using Mobile Agents

      • Stratos Idreos, Manolis Koubarakis

      Pages 23-32

   3. Taxonomy-Based Annotation of XML Documents: Application to eLearning Resources

      • Birahim Gueye, Philippe Rigaux, Nicolas Spyratos

      Pages 33-42

   4. Precise Photo Retrieval on the Web with a Fuzzy Logic\Neural Network-Based Meta-search Engine

      • Ioannis Anagnostopoulos, Christos Anagnostopoulos, George Kouzas, Vergados Dimitrios

      Pages 43-53

   5. Intelligent Web Prefetching Based upon User Profiles – The WebNaut Case

      • George Kastaniotis, Nick Zacharis, Themis Panayiotopoulos, Christos Douligeris

      Pages 54-62

   6. An Intelligent System for Aerial Image Retrieval and Classification

      • Antonios Gasteratos, Panagiotis Zafeiridis, Ioannis Andreadis

      Pages 63-71

   7. Computationally Intelligent Methods for Mining 3D Medical Images

      • Despina Kontos, Vasileios Megalooikonomou, Fillia Makedon

      Pages 72-81

   8. Text Area Identification in Web Images

      • Stavros J. Perantonis, Basilios Gatos, Vassilios Maragos, Vangelis Karkaletsis, George Petasis

      Pages 82-92

   9. A Mixed Reality Learning Environment for Geometry Education

      • George Nikolakis, George Fergadis, Dimitrios Tzovaras, Michael G. Strintzis

      Pages 93-102

   10. A Multi-criteria Protocol for Multi-agent Negotiations

       • Nikolaos F. Matsatsinis, Pavlos Delias

       Pages 103-111

   11. Clustering XML Documents by Structure

       • Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, Timos Sellis

       Pages 112-121

4. Machine Learning

   1. Music Performer Verification Based on Learning Ensembles

      • Efstathios Stamatatos, Ergina Kavallieratou

      Pages 122-131

   2. Using the k-Nearest Problems for Adaptive Multicriteria Planning

      • Grigorios Tsoumakas, Dimitris Vrakas, Nick Bassiliades, Ioannis Vlahavas

      Pages 132-141

   3. Focused Crawling Using Temporal Difference-Learning

      • Alexandros Grigoriadis, Georgios Paliouras

      Pages 142-153

   4. A Meta-classifier Approach for Medical Diagnosis

      • George L. Tsirogiannis, Dimitrios Frossyniotis, Konstantina S. Nikita, Andreas Stafylopatis

      Pages 154-163

   5. Learning In-between Concept Descriptions Using Iterative Induction

      • George Potamias, Vassilis Moustakis

      Pages 164-173

   6. Splitting Data in Decision Trees Using the New False-Positives Criterion

      • Basilis Boutsinas, Ioannis X. Tsekouronas

      Pages 174-182

Arti?cial intelligence has attracted a renewed interest from distinguished sci- tists and has again raised new, more realistic this time, expectations for future advances regarding the development of theories, models and techniques and the use of them in applications pervading many areas of our daily life. The borders of human-level intelligence are still very far away and possibly unknown. Nev- theless, recent scienti?c work inspires us to work even harder in our exploration of the unknown lands of intelligence. This volume contains papers selected for presentation at the 3rd Hellenic Conference on Arti?cial Intelligence (SETN 2004), the o?cial meeting of the Hellenic Society for Arti?cial Intelligence (EETN). The ?rst meeting was held in the University of Piraeus, 1996 and the second in the Aristotle University of Thessaloniki (AUTH), 2002. SETN conferences play an important role in the dissemination of the in- vative and high-quality scienti?c results in arti?cial intelligence which are being produced mainly by Greek scientists in institutes all over the world. However, the most important e?ect of SETN conferences is that they provide the context in which people meet and get to know each other, as well as a very good opp- tunity for students to get closer to the results of innovative arti?cial intelligence research.

• artificial intelligence
• data mining
• image processing
• intelligence
• knowledge
• knowledge representation
• learning
• machine learning
• algorithm analysis and problem complexity

• Info and Communication Systems Eng, Aegean University, Karlovassi, Samos, Greece

  George A. Vouros

• Department of Informatics, University of Piraeus, Piraeus, Greece

  Themistoklis Panayiotopoulos

Policies and ethics