Knowledge Engineering: Practice and Patterns

1. Front Matter

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2. Invited Talks

   1. Knowledge Patterns

      • Peter Clark

      Pages 1-3

   2. Computational Semantics and Knowledge Engineering

      • Johan Bos

      Pages 4-5

   3. Principles for Knowledge Engineering on the Web

      • Guus Schreiber

      Pages 6-6

3. Knowledge Patterns and Knowledge Representation

   1. Applying Ontology Design Patterns in Bio-ontologies

      • Mikel Egaña, Alan Rector, Robert Stevens, Erick Antezana

      Pages 7-16

   2. A Pattern and Rule-Based Approach for Reusing Adaptive Hypermedia Creator’s Models

      • Nadjet Zemirline, Chantal Reynaud, Yolaine Bourda, Fabrice Popineau

      Pages 17-31

   3. Natural Language-Based Approach for Helping in the Reuse of Ontology Design Patterns

      • Guadalupe Aguado de Cea, Asunción Gómez-Pérez, Elena Montiel-Ponsoda, Mari Carmen Suárez-Figueroa

      Pages 32-47

   4. On the Influence of Description Logics Ontologies on Conceptual Similarity

      • Claudia d’Amato, Steffen Staab, Nicola Fanizzi

      Pages 48-63

   5. Polishing Diamonds in OWL 2

      • Rinke Hoekstra, Joost Breuker

      Pages 64-73

   6. Formalizing Ontology Modularization through the Notion of Interfaces

      • Faezeh Ensan

      Pages 74-82

   7. Correspondence Patterns for Ontology Alignment

      • François Scharffe, Dieter Fensel

      Pages 83-92

4. Matching Ontologies and Data Integration

   1. Learning Disjointness for Debugging Mappings between Lightweight Ontologies

      • Christian Meilicke, Johanna Völker, Heiner Stuckenschmidt

      Pages 93-108

   2. Towards a Rule-Based Matcher Selection

      • Malgorzata Mochol, Anja Jentzsch

      Pages 109-119

   3. An Analysis of the Origin of Ontology Mismatches on the Semantic Web

      • Paul R. Smart, Paula C. Engelbrecht

      Pages 120-135

   4. Preference-Based Uncertain Data Integration

      • Matteo Magnani, Danilo Montesi

      Pages 136-145

5. Natural Language, Knowledge Acquisition and Annotations

   1. Unsupervised Discovery of Compound Entities for Relationship Extraction

      • Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang, Amit P. Sheth

      Pages 146-155

   2. Formal Concept Analysis: A Unified Framework for Building and Refining Ontologies

      • Rokia Bendaoud, Amedeo Napoli, Yannick Toussaint

      Pages 156-171

   3. Contextualized Knowledge Acquisition in a Personal Semantic Wiki

      • Ludger van Elst, Malte Kiesel, Sven Schwarz, Georg Buscher, Andreas Lauer, Andreas Dengel

      Pages 172-187

   4. Using the Intension of Classes and Properties Definition in Ontologies for Word Sense Disambiguation

      • Khaled Khelif, Fabien Gandon, Olivier Corby, Rose Dieng-Kuntz

      Pages 188-197

   5. Mapping General-Specific Noun Relationships to WordNet Hypernym/Hyponym Relations

      • Gaël Dias, Raycho Mukelov, Guillaume Cleuziou

      Pages 198-212

Knowledge is considered as the most important asset in our modern society. It has now penetrated all facets of computing practice: from the rise of knowledge management to the Semantic Web and from the blog culture to the knowledge economy. This penetration has made proper knowledge engineering a most - quired feature. This volume contains the papers presented at the 16th International C- ference on Knowledge Engineering and Knowledge Management (EKAW 2008) held in Acitrezza, Sicily, Italy, September 29 to October 3 2008. EKAW 2008 is concerned with all aspects of eliciting, acquiring, modelling and managing knowledge, and their role in the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent integration information, etc. This year we paid special attention to the topic of “knowledge patterns” that can be considered as good practice or models that are applied or reused throughout the knowledge engineering life cycle. Hence, beyond traditional t- icsofEKAW,wesolicitedpapersthatcoverresearchonhowtodescribe,classify, model, extract and apply knowledge patterns in the design of ontologies, app- cations and products. We have paid special attention to the description of ex- riences that involve the application and identi?cation of knowledge patterns in social network analysis, natural language processing, multimedia analysis, p- tern recognition, etc.

• adaptive hypermedia
• assisting tools
• data semantics
• e-commerce
• information extraction
• information retrieval
• knowledge acquisition
• knowledge engineering
• knowledge management
• knowledge pattern
• knowledge processing
• knowledge representation
• natural
• ontology

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