New Challenges in Computational Collective Intelligence

1. Front Matter

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2. Semantic Web

   1. Front Matter

      Pages 1-1

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   2. Web Services Composition Framework with Petri Net Based Schemas

      • Ewa Ochmańska

      Pages 3-14

   3. Proposal of a New Rule-Based Inference Scheme for the Semantic Web Applications

      • Grzegorz J. Nalepa, Weronika T. Furmańska

      Pages 15-26

   4. Applying Caching Capabilities to Inference Applications Based on Semantic Web

      • Alejandro Rodríguez, Enrique Jimenez, Mateusz Radzimski, Juan Miguel Gómez, Giner Alor, Rubén Posada-Gomez et al.

      Pages 27-37

   5. Semantic Web System for Automatic Plan Scheduling

      • Piotr Czerpak, Paweł Drozda, Krzysztof Sopyła

      Pages 39-50

   6. Knowledge and Data Processing in a Process of Website Quality Evaluation

      • Janusz Sobecki, Dmitrij Żatuchin

      Pages 51-61

3. Ontology Management and Applications

   1. Front Matter

      Pages 63-63

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   2. Syntactic Modular Decomposition of Large Ontologies with Relational Database

      • Pawel Kaplanski

      Pages 65-72

   3. Relational Database as an Ontology Framework

      • Andrzej Macioł

      Pages 73-84

   4. The Knowledge Generation about an Enterprise in the KBS-AE (Knowledge-Based System - Acts of Explanation)

      • Jan Andreasik

      Pages 85-94

   5. Information Retrieval in the Geodetic and Cartographic Documentation Centers

      • Tomasz Kubik, Adam Iwaniak

      Pages 95-106

   6. Visualization Framework of Information Map in Blog Using Ontology

      • Nurul Akhmal Mohd. Zulkefli, Inay Ha, Geun-Sik Jo

      Pages 107-118

   7. Semantic Data Integration in the Domain of Medicine

      • Beata Jankowska

      Pages 119-131

4. Social Networks

   1. Front Matter

      Pages 133-133

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   2. Analysis of Social Network’s Structural Properties in Huge Community Portal

      • Bernadetta Mianowska, Marcin Maleszka, Krzysztof Juszczyszyn

      Pages 135-146

   3. Efficient Construction of (d+1,3d)-Ruling Set in Wireless Ad Hoc Networks

      • Krzysztof Krzywdziński

      Pages 147-156

   4. A Case Study of Building Social Network for Mobile Carriers

      • Sewook Oh, Hojin Lee, Yong Gyoo Lee, Kwang-Chun Kang

      Pages 157-165

   5. Modelling Dynamics of Social Support Networks for Mutual Support in Coping with Stress

      • Azizi Ab Aziz, Jan Treur

      Pages 167-179

   6. Data Portability across Social Networks

      • Pooyan Balouchian, Atilla Elci

      Pages 181-190

Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semantic web treated as an advanced tool that increases the collective intelligence in networking environments. The second one covers social networks modeling and analysis, where social networks are this area of in which various forms of computational collective intelligence emerges in a natural way. The third subfield relates us to agent and mul- agent systems understood as this computational and modeling paradigm which is especially tailored to capture the nature of computational collective intelligence in populations of autonomous individuals.

• Multi-agent system
• Ontologie
• agents
• collective intelligence
• evolution
• knowledge
• knowledge-based system
• modeling
• neural network
• radio-frequency identification (RFID)
• robot
• robotics
• semantic web
• verification

• Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

  Ngoc Thanh Nguyen, Radosław Piotr Katarzyniak

• Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Wroclaw, Poland

  Adam Janiak

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