Ontology Learning
ECAI-2000 Workshop

August 22, 2000.

Steffen Staab, Alexander Maedche, Claire Nedellec, Peter Wiemer-Hastings
sst@aifb.uni-karlsruhe.de, ama@aifb.uni-karlsruhe.de, cn@lri.fr, peterwh@cogsci.ed.ac.uk


The Second Workshop on Ontology Learning OL-2001 will be held in conjunction with IJCAI-2001, Seattle, USA.

Some of the outcome :-)

Dear Colleagues: I was able to take an impromptu picture of *some* of the participants at the ECAI 2000 Ontology Learning workshop. I apologize for those who were not included. I hope you enjoy the picture. Best regards, -- Andrew

Some of the input :-)

Ontologies serve as a means for establishing a conceptually concise basis for communicating knowledge for many purposes. Previous, successful workshops on ontology engineering and problem-solving methods have shown that there is a huge interest in the area of engineering ontologies for a very wide range of interesting applications and, in fact, the community in that field is steadily growing. Also in recent years, we have seen a surge of interest in other fields than ontology engineering that tackle the discovery and automatic creation of complex, multirelational knowledge structures. For example, the natural language community tries to acquire word semantics from natural language texts, database researchers tackle the problem of schema induction, and people building intelligent information agents research the learning of complex structures from semi-structured input (HTML, XML). All the while, efforts in the machine learning community pursue the induction of more concise and more expressive knowledge structures (e.g., relational learning) in general. Traditionally, there has been only very few interactions between these groups in spite of the fact that they all try to learn conceptual structures, which are termed ``schemata'', ``concept hierarchies'' or ``heterarchies'', ``conceptual patterns'', or ``ontologies'' -- depending on which community you talk to. We aim at furthering, or even establishing, communication between these communities through our workshop on ontology learning.

Further Information:

Motivation & Workshop Description

Accepted Papers & Tentative Workshop Schedule

Author's Instructions

Electronic Proceedings (published at CEUR Workshop Proceedings on http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/ )

 

Organization Committee

Steffen Staab Alexander Maedche
AIFB, Karlsruhe University AIFB, Karlsruhe University
76128 Karlsruhe, Germany 76128 Karlsruhe, Germany
email: sst@aifb.uni-karlsruhe.de email: ama@aifb.uni-karlsruhe.de
http://www.aifb.uni-karlsruhe.de/~sst http://www.aifb.uni-karlsruhe.de/~ama
phone: +49-721-608 7363 phone: +49-721-608 6558
fax: +49-721-608 - 6580 fax: +49-721-608 - 6580
   
Claire Nedellec Peter Wiemer-Hastings
Inference and Machine Learning Group Division of Informatics
LRI, Bat 490 University of Edinburgh
UniversitÚ Paris Sud 2 Buccleuch Place
91405-ORSAY, France Edinburgh EH8 9LW, UK
phone: +33 (0)1 69 15 66 26 phone: (901)678-3529
fax:+33 (0)1 69 15 65 86  
email: cn@lri.fr email: peterwh@cogsci.ed.ac.uk
http://www.lri.fr/~cn  

Program Committee

Illarramendi Echave Arantxa Universidad del Pais Vasco, San Sebastian, Spain
Dieter Fensel Free University of Amsterdam, Amsterdam, NL
Nicola Guarino National Research Council, Padova, Italy
Asuncion Gomez-Perez Facultad de Informatica, Universidad Politecnica de Madrid , Spain
Udo Hahn CLIF, University of Freiburg, Germany
Ian Horrocks University of Manchester, UK
Ed Hovy Information Science Institute, USA
Paul Johannesson University of Stockholm, Department of Computer and Systems Sciences, Sweden
J÷rg-Uwe Kietz Swiss Life, Zurich, Switzerland
Yves Kodratoff LRI, France
Robert Meersman Vrije Universiteit Brussel, Belgium
Christine Parent University of Lausanne, Switzerland
Marie-Christine Rousset LRI, France
Rudi Studer Institute AIFB, University of Karlsruhe, Germany
Stefan Wrobel University of Magdeburg, Germany