Conceptual Modeling - ER 2002

1. Front Matter

   Pages I-XX

   PDF

2. Keynote Addresses

   1. Conceptual Modelling and Ontology: Possibilities and Pitfalls

      • Ron Weber

      Pages 1-2

   2. An Ontology for m-Business Models

      • Yves Pigneur

      Pages 3-6

3. Pre-Conference Tutorials

   1. Modeling Dynamics of Business Processes: Key for Building Next Generation of Business Information Systems

      • Ilia Bider, Paul Johannesson

      Pages 7-9

   2. Ontology-Driven Conceptual Modelling

      • Nicola Guarino, Luc Schneider

      Pages 10-10

4. Conference Tutorials

   1. Advanced OO Modelling: Metamodels and Notations for the New Millennium

      • Brian Henderson-Sellers

      Pages 11-11

   2. Ontology-Driven Conceptual Modelling: Advanced Concepts

      • Nicola Guarino, Luc Schneider

      Pages 12-12

   3. Workflow Management in Electronic Commerce

      • Paul Grefen

      Pages 13-14

5. Panel

   1. Do We Need an Ontology of Ontologies?

      • Heinrich C. Mayr

      Pages 15-15

6. Demonstrations and Posters

   1. Development of a Conceptual Data Model for Digital Spatio-Temporal Geographical Information, with Application to Several Themes and GIS

      • Nico Van de Weghe

      Pages 16-16

   2. Using Semantic Rules Database to Dynamically Set up the ICSpace Virtual Building

      • Ozifrankly Silva, Tatiana Tavares, Márcia Lucena, Guido Souza Filho

      Pages 17-17

   3. On the Transformation of Object Oriented Conceptual Models to Logical Theories: From EROOS to ID-Logic

      • Pieter Bekaert, Bert Van Nuffelen

      Pages 18-19

7. Semantics and Meta-models

   1. Component Construction of Database Schemes

      • Bernhard Thalheim

      Pages 20-34

   2. Multirelational Semantics for Extended Entity-Relationship Schemata With Applications

      • Sebastiano Vigna

      Pages 35-49

   3. A Meta-model for e-Contract Template Variable Dependencies Facilitating e-Negotiation

      • S. C. Cheung, Patrick C. K. Hung, Dickson K. W. Chiu

      Pages 50-64

8. Principles of Ontology

   1. On the General Ontological Foundations of Conceptual Modeling

      • Giancarlo Guizzardi, Heinrich Herre, Gerd Wagner

      Pages 65-78

   2. Finding and Characterizing Changes in Ontologies

      • Michel Klein, Atanas Kiryakov, Damyan Ognyanov, Dieter Fensel

      Pages 79-89

   3. Superimposed Schematics: Introducing E-R Structure for In-Situ Information Selections

      • Shawn Bowers, Lois Delcambre, David Maier

      Pages 90-104

9. Web Environments

   1. Web extensions to UML: Using the MVC Triad

      • David Lowe, Brian Henderson-Sellers, Alice Gu

      Pages 105-119

   2. Wiccap Data Model: Mapping Physical Websites to Logical Views

      • Zehua Liu, Feifei Li, Wee Keong Ng

      Pages 120-135

For more than 20 years, the series of Conceptual Modeling – ER conferences has provided a forum for research communities and practitioners to present and - change research results and practical experiences in the ?elds of database design and conceptual modeling. Throughout the years, the scope of these conferences has extended from database design and speci?c topics of that area to more u- versal or re?ned conceptual modeling, organizing originally weak or ill-structured information or knowledge in more cultured ways by applying various kinds of principles, abstract models, and theories, for di?erent purposes. At the same time, many technically oriented approaches have been developed which aim to facilitate the implementation of rather advanced conceptual models. Conceptual modeling is based on the process of conceptualization, and it is the core of system structuring as well as justi?cation for information systems development. It supports and facilitates the understanding, explanation, pred- tion, and reasoning on information and knowledge, and their manipulation in the systems, in addition to understanding and designing the functions of the systems. The conceptualization process aims at constructing concepts relevant for the knowledge and information system in question. Concepts in the human mind and concept descriptions in computerized information systems are quite di?erent things by nature, but both should be taken into account in conceptual modeling. Usually concept descriptions are properly observed, but concepts in the human mind and their properties are often neglected quite carelessly.

• Conceptual modeling
• XML
• data engineering
• data integration
• database modeling
• database warehouse
• entity-relationship model
• meta-models
• modeling
• object
• object systems
• ontologies
• ontology-driven modeling
• tools
• web-based informtion systems

• Database Laboratory, School of Computer and Communication Sciences, Ecole Polytechnique Fédérale Lausanne (EPFL), Lausanne, Switzerland

  Stefano Spaccapietra

• Owen Graduate School of Management, Vanderbilt University, Nashville, USA

  Salvatore T. March

• Graduate School of Informatics, Department of Social Informatics, Kyoto University, Kyoto, Japan

  Yahiko Kambayashi

Policies and ethics