Advances in Intelligent Information and Database Systems

1. Front Matter

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2. Information Retrieval and Management

   1. Front Matter

      Pages 1-1

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   2. A Construction of Hierarchical Rough Set Approximations in Information Systems Using Dependency of Attributes

      • Tutut Herawan, Iwan Tri Riyadi Yanto, Mustafa Mat Deris

      Pages 3-15

   3. Percentages of Rows Read by Queries as an Operational Database Quality Indicator

      • Paweł Lenkiewicz, Krzysztof Stencel

      Pages 17-27

   4. Question Semantic Analysis in Vietnamese QA System

      • Tuoi T. Phan, Thanh C. Nguyen, Thuy N. T. Huynh

      Pages 29-40

   5. Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search

      • Vuong M. Ngo, Tru H. Cao

      Pages 41-52

   6. Indexing Spatial Objects in Stream Data Warehouse

      • Marcin Gorawski, Rafal Malczok

      Pages 53-65

   7. Real Time Measurement and Visualization of ECG on Mobile Monitoring Stations of Biotelemetric System

      • Ondrej Krejcar, Dalibor Janckulik, Leona Motalova, Karel Musil, Marek Penhaker

      Pages 67-78

   8. A Search Engine Log Analysis of Music-Related Web Searching

      • Sally Jo Cunningham, David Bainbridge

      Pages 79-88

   9. Data Hiding Based on Compressed Dithering Images

      • Cheonshik Kim

      Pages 89-98

   10. Reliable Improvement for Collective Intelligence on Thai Herbal Information

       • Verayuth Lertnattee, Sinthop Chomya, Virach Sornlertlamvanich

       Pages 99-110

   11. Semantic Compression for Specialised Information Retrieval Systems

       • Dariusz Ceglarek, Konstanty Haniewicz, Wojciech Rutkowski

       Pages 111-121

3. Service Composition and User-Centered Approach

   1. Front Matter

      Pages 123-123

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   2. Service Mining for Composite Service Discovery

      • Min-Feng Wang, Meng-Feng Tsai, Cheng-Hsien Tang, Jia-Ying Hu

      Pages 125-131

   3. An Adaptive Grid-Based Approach to Location Privacy Preservation

      • Anh Tuan Truong, Quynh Chi Truong, Tran Khanh Dang

      Pages 133-144

   4. View Driven Federation of Choreographies

      • Amirreza Tahamtan, Johann Eder

      Pages 145-156

   5. Semantic Battlespace Data Mapping Using Tactical Symbology

      • Mariusz Chmielewski, Andrzej Gałka

      Pages 157-168

   6. A Method for Scenario Modification in Intelligent E-Learning Systems Using Graph-Based Structure of Knowledge

      • Adrianna Kozierkiewicz-Hetmańska, Ngoc Thanh Nguyen

      Pages 169-179

   7. Development of the E-Learning System Supporting Online Education at the Polish-Japanese Institute of Information Technology

      • Paweł Lenkiewicz, Lech Banachowski, Jerzy Paweł Nowacki

      Pages 181-189

   8. Evolutionally Improved Quality of Intelligent Systems Following Their Users’ Point of View

      • Barbara Begier

      Pages 191-203

Intelligent information and database systems are two closely related and we- established subfields of modern computer science. They focus on the integration of artificial intelligence and classic database technologies in order to create the class of next generation information systems. The major target of this new gene- tion of systems is to provide end-users with intelligent behavior: simple and/or advanced learning, problem solving, uncertain and certain reasoning, se- organization, cooperation, etc. Such intelligent abilities are implemented in classic information systems to make them autonomous and user oriented, in particular when advanced problems of multimedia information and knowledge discovery, access, retrieval and manipulation are to be solved in the context of large, distr- uted and heterogeneous environments. It means that intelligent knowledge-based information and database systems are used to solve basic problems of large coll- tions management, carry out knowledge discovery from large data collections, reason about information under uncertain conditions, support users in their for- lation of complex queries etc. Topics discussed in this volume include but are not limited to the foundations and principles of data, information, and knowledge models, methodologies for intelligent information and database systems analysis, design, implementation, validation, maintenance and evolution.

• artificial intelligence
• collective intelligence
• computational intelligence
• data mining
• database
• evolution
• heuristics
• knowledge
• multimedia
• neural network

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

  Ngoc Thanh Nguyen, Radosław Katarzyniak

• Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

  Shyi-Ming Chen

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