Corpora: CFP: IJCAI'2001 workshop on Ontology Learning

From: Alexander Maedche (ama@aifb.uni-karlsruhe.de)
Date: Wed Nov 22 2000 - 16:39:23 MET

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    *********************************************************************
    *********** Call for Papers: Ontology Learning ******************
    ******************** IJCAI-2001 Workshop *************************
    *********************************************************************
    ******************** August 4, 2001, Seattle **********************
    *********************************************************************

    Comprehensive information to be found at
                            http://ol2001.aifb.uni-karlsruhe.de

    Workshop Summary

    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.

    Important Dates

     Deadline for paper submission 21 February 2001
     Notification of acceptance 21 March 2001
     Deadline final contributions 30 April 2001

    All accepted papers will be published in the IJCAI-2001 workshop
    proceedings.

    Submission Information

     We invite contributions that advance the state-of-the-art in topics
     related to the purpose of the workshop. Persons interested in
     participating should submit either a technical paper (less than
     6000 words) or a position paper (less than 1500 words) addressing
     new research issues. In addition, we solicit proposals for panel
     discussions and break-out groups that work towards visions for
     ontology learning. Submit before February 21, 2001 in electronic form
     (strongly preferred!) in postscript or pdf in the final
     IJCAI style format to:

         ama@aifb.uni-karlsruhe.de

    or send three hard copies of your submission to:

    "Ontology Learning OL2001"
    Steffen Staab and Alexander Maedche
    Institute AIFB,
    Karlsruhe University,
    D-76128 Karlsruhe,
    Germany

    Organizing Committee

     Steffen Staab (Contact),
         AIFB, Karlsruhe University,
         76128 Karlsruhe, Germany
         email: sst@aifb.uni-karlsruhe.de
         phone: +49-721-608 4751
         fax: +49-721-693 717
     Alexander Maedche, AIFB, Karlsruhe University
     Claire Nedellec, Inference and Machine Learning Group,
                      LRI, Université Paris Sud
     Ed Hovy, Information Sciences Institute,
                      University of Southern California



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