The IJCAI-01 Workshop on Ontology Learning


August 4, 2001, Seattle, USA

Steffen Staab, Alexander Maedche, Claire Nedellec, Ed Hovy

Ontologies serve as a means for establishing a conceptually concise basis for communicating knowledge for many purposes. In recent years, we have seen a surge of interest that deals with 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.

For the workshop we intend to gather a diverse range of participants interested in the machine learning of ontologies. In particular, we are also interested in the maintenance (revision, incrementality) and integration (from various sources) aspects of learning ontologies.

Topics of interest include, e.g.:

  • Text mining for building ontologies
  • Learning from machine-readable dictionaries
  • Lexical acquisition
  • Learning selectional restrictions
  • Semi-automatic extending of ontologies (WordNet)
  • Multi-relational learning / Inductive Logic Programming
  • A-Box Mining
  • Learning ontologies with inferences (e.g. description logics)
  • Learning ontologies from the Web (from DTDs, XML, RDF)
  • Cooperative learning of ontologies
  • Learning translation rules between ontologies
  • Reverse Engineering relational schemas to ontologies

Besides of the common digital presentations, we intend that participants give live system demonstrations.

An invited talk "Learning to translate between ontologies" will be given by Alon Halevy (up until recently: Alon Levy), University of Washington.

The First Ontology Learning Workshop OL-2000 has been organized in conjunction with ECAI-2000, Berlin. More information about the schedule, accepted papers, etc. are available at the workshop homepage.


Ed Hovy Alexander Maedche
Information Sciences Institute AIFB, Karlsruhe University
of the University of Southern California 76128 Karlsruhe, Germany
4676 Admiralty Way phone: +49-721-608 6558
Marina del Rey, CA 90292-6695, U.S.A. fax: +49-721-608 - 6580
phone: +1-310-448-8731 email:
fax: +1-310-823-6714
Claire Nedellec Steffen Staab
Inference and Machine Learning Group AIFB, Karlsruhe University
LRI, Bat 490 76128 Karlsruhe, Germany
Université Paris Sud phone: +49-721-608 7363
91405-ORSAY, France fax: +49-721-608 - 6580
phone: +33 (0)1 69 15 66 26 email:
fax:+33 (0)1 69 15 65 86


Ido Dagan Bar Ilan University, Israel
Dieter Fensel Free University of Amsterdam, Amsterdam, NL
Asuncion Gomez-Perez Facultad de Informatica, Universidad Politecnica de Madrid, Spain
Nicola Guarino National Research Council, Padova, Italy
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
Jörg-Uwe Kietz Swiss Life, Zurich, Switzerland
Yves Kodratoff LRI, France
Bob Krovetz NEC Research Institute
Stan Matwin University of Ottawa, Canada
Deborah McGuinness Knowledge Systems Laboratory, Stanford, USA
Robert Meersman Vrije Universiteit Brussel, Belgium
Günter Neumann DFKI, Germany
Marie-Christine Rousset LRI, France
Rudi Studer Institute AIFB, University of Karlsruhe, Germany
Stefan Wrobel University of Magdeburg, Germany