Managing Knowledge in a World of Networks

1. Front Matter

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2. Invited Talks

   1. Information and Influence in Social Networks

      • Andrzej Nowak, Robin Vallacher, Wiesław Bartkowski

      Pages 1-1

   2. Learning, Logic, and Probability: A Unified View

      • Pedro Domingos

      Pages 2-2

3. Knowledge Acquisition

   1. KARaCAs: Knowledge Acquisition with Repertory Grids and Formal Concept Analysis for Dialog System Construction

      • Hilke Garbe, Claudia Janssen, Claus Möbus, Heiko Seebold, Holger de Vries

      Pages 3-18

   2. Capturing Quantified Constraints in FOL, Through Interaction with a Relationship Graph

      • Peter M. D. Gray, Graham J. L. Kemp

      Pages 19-26

   3. Assisting Domain Experts to Formulate and Solve Constraint Satisfaction Problems

      • Derek Sleeman, Stuart Chalmers

      Pages 27-34

   4. Knowledge Acquisition Evaluation Using Simulated Experts

      • Tri M. Cao, Paul Compton

      Pages 35-42

   5. Stochastic Foundations for the Case-Driven Acquisition of Classification Rules

      • Megan Vazey

      Pages 43-50

   6. From Natural Language to Formal Proof Goal

      • Ruud Stegers, Annette ten Teije, Frank van Harmelen

      Pages 51-58

   7. Reuse: Revisiting Sisyphus-VT

      • Derek Sleeman, Trevor Runcie, Peter Gray

      Pages 59-66

4. Ontology Engineering

   1. Role Organization Model in Hozo

      • Eiichi Sunagawa, Kouji Kozaki, Yoshinobu Kitamura, Riichiro Mizoguchi

      Pages 67-81

   2. Verification and Refactoring of Ontologies with Rules

      • Joachim Baumeister, Dietmar Seipel

      Pages 82-95

   3. Ontology Selection for the Real Semantic Web: How to Cover the Queen’s Birthday Dinner?

      • Marta Sabou, Vanessa Lopez, Enrico Motta

      Pages 96-111

   4. Ontology Engineering, Scientific Method and the Research Agenda

      • Hans Akkermans, Jaap Gordijn

      Pages 112-125

5. Ontology Learning

   1. Ontology Enrichment Through Automatic Semantic Annotation of On-Line Glossaries

      • Roberto Navigli, Paola Velardi

      Pages 126-140

   2. Discovering Semantic Sibling Groups from Web Documents with XTREEM-SG

      • Marko Brunzel, Myra Spiliopoulou

      Pages 141-157

   3. Designing and Evaluating Patterns for Ontology Enrichment from Texts

      • Nathalie Aussenac-Gilles, Marie-Paule Jacques

      Pages 158-165

6. Ontology Mapping and Evolution

   1. Semantic Metrics

      • Bo Hu, Yannis Kalfoglou, Harith Alani, David Dupplaw, Paul Lewis, Nigel Shadbolt

      Pages 166-181

   2. Matching Unstructured Vocabularies Using a Background Ontology

      • Zharko Aleksovski, Michel Klein, Warner ten Kate, Frank van Harmelen

      Pages 182-197

   3. Distributed Multi-contextual Ontology Evolution – A Step Towards Semantic Autonomy

      • Maciej Zurawski

      Pages 198-213

th The 15 International Conference on Knowledge Engineering and Knowledge Management (2006), held on October 6-10, 2006 in Pod? ebrady,Czech Republic, followed a long tradition of European Knowledge Acquisition Workshops (from 1987),whicheventuallyacquiredtheformatofconference(in2000)whilekeeping their open-minded and interactive spirit. During the nearly 20 year lifespan of the series, the discipline of knowledge engineering (KE) evolved greatly. While knowledge acquisition (KA) techniques dominated in the very ?rst years, formal approaches to knowledge-based inf- ence and variousnew streamssuch as knowledgediscoveryfrom data/textslater cameinto play. During thelate1990sandafterwards,EKAWbecamea founding community for ontology and Semantic Web Research, which was also re?ected in the sub-titles of the 2002 and 2004 editions: “Ontologies and the Semantic Web” and “Engineering Knowledge in the Age of the Semantic Web,” resp- tively. The 2006 edition, in turn, only slightly refocussed this trend. Its sub-title is “Managing Knowledge in a World of Networks,” which re?ects the fact that semantics typically arises not only as a result of explicit engineering activities (as in Semantic Web) but also emerges from interaction of a high number of interconnected documents, ontological concepts, software applications and — especially — human users. The importance given to the interconnection of - man users in a sense loops back to the knowledge acquisition roots of EKAW and its ‘holistic’ view of knowledge engineering.

• Mapping
• knowledge discovery
• knowledge engineering
• knowledge management
• learning
• ontology
• semantics

• Fachbereich Informatik, Universität Koblenz-Landau, Koblenz, Germany

  Steffen Staab

• Dept. Information and Knowledge Engineering,, University of Economics, Prague, Prague, Czech Republic

  Vojtěch Svátek

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