Knowledge Science, Engineering and Management

1. Front Matter

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2. Models in Knowledge Management

   • John Mylopoulos

   Pages 1-1

3. Two Applications of Computer-Aided Theorem Discovery and Verification

   • Fangzhen Lin

   Pages 2-2

4. Knowware: The Third Star after Hardware and Software

   • David Bell, Ying Jiang, Ruqian Lu, Kaile Su, Songmao Zhang

   Pages 3-3

5. Required Knowledge for Delivering Services

   • Brian Donnellan, Diem Ho, John Mylopoulos, Stefan Schambron, Hans-Georg Fill

   Pages 4-4

6. Mapping Relational Databases to the Semantic Web with Original Meaning

   • Dmitry V. Levshin

   Pages 5-16

7. Computing Knowledge-Based Semantic Similarity from the Web: An Application to the Biomedical Domain

   • David Sánchez, Montserrat Batet, Aida Valls

   Pages 17-28

8. An Anytime Algorithm for Computing Inconsistency Measurement

   • Yue Ma, Guilin Qi, Guohui Xiao, Pascal Hitzler, Zuoquan Lin

   Pages 29-40

9. Forwarding Credible Information in Multi-agent Systems

   • Patrick Krümpelmann, Luciano H. Tamargo, Alejandro J. García, Marcelo A. Falappa

   Pages 41-53

10. Convergence Analysis of Affinity Propagation

    • Jian Yu, Caiyan Jia

    Pages 54-65

11. Propagation of Random Perturbations under Fuzzy Algebraic Operators

    • Zheng Zheng, Shanjie Wu, Kai-Yuan Cai

    Pages 66-77

12. Two Approaches to Iterated Belief Contraction

    • Raghav Ramachandran, Abhaya C. Nayak, Mehmet A. Orgun

    Pages 78-89

13. The Dual Spatial Connectives of Separation Logic

    • Yuming Shen, Yuefei Sui, Ju Wang

    Pages 90-99

14. Knowledge Engineering in Future Internet

    • Vedran Hrgovcic, Wilfrid Utz, Robert Woitsch

    Pages 100-109

15. Developing Diagnostic DSSs Based on a Novel Data Collection Methodology

    • Kaya Kuru, Sertan Girgin, Kemal Arda, Uğur Bozlar, Veysel Akgün

    Pages 110-121

16. Data Integration for Business Analytics: A Conceptual Approach

    • Wilfried Grossmann

    Pages 122-133

17. New Labeling Strategy for Semi-supervised Document Categorization

    • Yan Zhu, Liping Jing, Jian Yu

    Pages 134-145

18. A Competitive Learning Approach to Instance Selection for Support Vector Machines

    • Mario Zechner, Michael Granitzer

    Pages 146-157

19. Knowledge Discovery from Academic Search Engine

    • Ye Wang, Miao Jiang, Xiaoling Wang, Aoying Zhou

    Pages 158-167

20. Interactive Visualization in Knowledge Discovery for Academic Evaluation and Accreditation

    • Anastasios Tsolakidis, Ioannis Chalaris, George Miaoulis

    Pages 168-179

Following two successful events in Guilin, People’s Republic of China (KSEM 2006) and in Melbourne, Australia (KSEM 2007) the third event in this conference series was held for the first time in Europe, namely, in Vienna, Austria. KSEM 2009 aimed to be a communication platform and meeting ground for research on knowledge science, engineering and management, attracting high-quality, state-of-the-art publications from all over the world. It offers an exceptional opportunity for presenting original work, technological advances, practical problems and concerns of the research community. The importance of studying “knowledge” from different viewpoints such as science, engineering and management has been widely acknowledged. The accelerating pace of the "Internet age" challenges organizations to compress communication and innovation cycles to achieve a faster return on investment for knowledge. Thus, next-generation business solutions must be focused on supporting the creation of value by adding knowledge-rich components as an integral part to the work process. Therefore, an integrated approach is needed, which combines issues from a large array of knowledge fields such as science, engineering and management. Based on the reviews by the members of the Program Committee and the additional reviewers, 42 papers were selected for this year’s conference. Additionally, two discussion panels dealing with “Knowware: The Third Star after Hardware and Software” and “Required Knowledge for Delivering Services” took place under the auspices of the conference. The papers and the discussions covered a great variety of approaches of knowledge science, management and engineering, thus making KSEM a unique conference.

• Suchmaschinen
• Support Vector Machine
• adaptive learning
• algorithmic learning
• biomedicine
• classification
• clustering
• collaboration
• competence management
• data integration
• expert systems
• knowledge discovery
• ontology
• semantic web
• sentiment analysis

• Faculty of Computer Science, Institute for Knowledge and Business Engineering, University of Vienna, Vienna, Austria

  Dimitris Karagiannis

• School of Electronic Engineering and Computer Science, Peking University, Beijing, China

  Zhi Jin