Corpora: CFP ECAI2002 WS : Machine Learning and Natural Language Processing for Ontology Engineering]] (fwd)

From: Knut Hofland (knut@hit.uib.no)
Date: Mon Jan 28 2002 - 09:11:12 MET

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    Date: Fri, 25 Jan 2002 16:54:48 +0100
    From: Nathalie Aussenac-Gilles <aussenac@irit.fr>
    To: corpora@uib.no
    Subject: CFP ECAI2002 WS : Machine Learning and Natural Language Processing
        for Ontology Engineering

    Workshop held in conjunction with the ECAI 2002 conference

    =======================================
    Machine Learning and Natural Language
    Processing for Ontology Engineering
    =======================================

    CALL FOR PAPERS

    _______________________________________

    Lyon (France), July 22-23 2002
    http://www.inria.fr/acacia/OLT2002
    _______________________________________

    Workshop chairs
    Nathalie AUSSENAC-GILLES (IRIT, Toulouse, F)
    Alexander MAEDCHE (FZI, Univ. of Karlsruhe, G)

    SCHEDULE

    o Deadline for paper submissions March 15th 2002
    o Notification of acceptance April 26th 2002
    o Deadline for motivation abstracts May 24th 2002
    o Camera ready papers May 24th 2002
    o Workshop et ECAI2002 July 22nd-23rd 2002

    SCOPE

    Ontologies serve as a means to establish a conceptually concise basis
    for communicating knowledge for many purposes. Recent years have seen a
    surge of interest in the discovery, automatic or semi-automatic creation
    of complex, multirelational knowledge structures. For example, the
    natural language community tries to acquire word semantics from texts,
    database researchers tackle the problem of schema induction, and
    numerous intelligent information agents are built by learning complex
    structures from semi-structured input (HTML, XML files).
    This interest converges with the recent proposals from various
    communities to build a Semantic Web. One popular solution relies on
    ontologies and annotations of Web resources w.r.t. these ontologies. The
    size of the Web implies being able to automate some parts of the process
    and to scale it up. Therefore NLP (Natural Language Processing) tools as
    well as learning techniques seem to be very promising.

    Engineering ontologies may be considered as a process that, starting
    from (possibly evolutive) knowledge sources, produces a structured
    conceptual model. Among all knowledge sources, special interest will be
    paid to texts (technical documentation, interview transcripts,
    handbooks, documents gathered from the Web and so on), semi-structured
    data and existing knowledge bases. Among all possible techniques, NLP
    tools, linguistic approaches, machine learning algorithms and any
    combination of these are encouraged. As a matter of fact, efforts in the
    machine learning community pursue the induction of more concise and more
    expressive knowledge structures (e.g. relational learning). Moreover,
    results (principles, methods and techniques) in machine learning, NLP,
    linguistics are mature enough to be worth integrating into knowledge
    engineering methods. It is time to evaluate how their combination could
    improve the efficiency of building ontologies as well as their quality
    and their relevance.

    Engineering such knowledge structures raises some theoretical issues
    that are little studied. The originality of this workshop is to call for
    several disciplines such as linguistics, terminology, natural language
    processing, knowledge representation and machine learning to go deeply
    into these issues and related epistemological foundations. It will give
    these communities a unique opportunity to confront their views and
    results. To this end, the workshop will focus not only on practical and
    technical problems but also on a theoretical reflection about building,
    maintaining and reusing terminological resources and ontologies. We
    would also like to debate the nature of ontologies, their genericity
    according to applications and sources. Cross-disciplinary contributions,
    in particular those involving linguistics, are strongly encouraged.

    Technical and theoretical issues to be discussed at the workshop
    include, but are not limited to:

    Ø Status of texts as knowledge sources, connections between ontologies
    and texts
    Ø Linguistic and terminological resources as knowledge sources
    Ø Learning from machine-readable dictionaries
    Ø Extending existing ontologies (Wordnet)

    Ø Text Mining for building ontologies
    Ø Linguistics (techniques and principles) to build ontologies
    Ø Natural Language Processing (NLP) tools for building and maintaining
    ontologies
    Ø Ontologies for Text and Document Processing

    Ø Learning selectional restrictions
    Ø Multi-relational learning, Inductive Logic Programming
    Ø Instance mining
    Ø Learning ontologies with inferences (e.g. using description logics)
    Ø Cooperative learning of ontologies

    Ø Ontologies and NLP tools for the semantic web
    Ø Learning ontologies from the Web (from DTDs, XML files, RDF files)

    SUBMISSION FORMAT OF PAPERS
      
    Papers should be no longer than 5000 words. They can either report
    research work, practical experiments whether completed or in progress.
    Papers discussing more theoretical questions are also welcome.
    Each paper will be reviewed by two persons from the program committee
    having in mind the willingness to promote discussions and debates rather
    than selection. Papers will be published in paperback proceedings
    distributed to the workshop participants and available on-line after
    June 10th, 2002. Please use the same format as the one suggested for the
    conference.

    Send papers by email (html, ps or pdf files) to
    mailto:OLT2002@sophia.inria.fr before March 15th.

    PARTICIPATION CONDITIONS

    Beside the papers' authors, anyone wishing to take part in this workshop
    should send a one page abstract about his/her motivations to attend the
    workshop and/or his/her recent work related to the workshop topic. This
    page should also contain one question-issue to be debated during the
    workshop. Motivation abstracts will be reviewed.

    Send your text to mailto:OLT2002@sophia.inria.fr before May 24th.

    All workshop participants are required to register for the ECAI 2002
    main conference.

    WORKSHOP TIME-TABLE

    In order to make exchanges easier during the workshop, each paper will
    be assigned a discutant selected among the authors of the other papers.
    Discutants will contribute to paper presentations and discussions.
    Paper presentations will be organized into thematic sessions. A large
    amount of time will be dedicated to debates at the end of each session
    or during specific sessions according to the questions suggested by the
    participants (see participation conditions).

    ORGANIZING COMMITTEE
    Brigitte BIEBOW (LIPN, Paris, F)
    Anne CONDAMINES (ERSS, Toulouse, F)
    Rose DIENG-KUNTZ (INRIA, Sophia Antipolis, F)
    Adeline NAZARENKO (LIPN, Paris, F)
    Claire NEDELLEC (LRI, Paris, F)
    Stephen STAAB (AIFB, Karslruhe, G)

    PROGRAM COMMITTEE
    Roberto BASILI (University Tor Vergata, Roma, I)
    Teresa CABRE (Universitat Pompeu Fabra, Barcelona, S)
    Farid CERBAH (Dassault Electronique, Paris, F)
    Ido DAGAN (Bar Ilan University, Israel) *
    Dieter FENSEL (Vrije Universiteit, Amsterdam, NL)
    Udo HAHN (Freiburg University, D)
    Ed HOVY (Information Science Institute, USA)
    Paul JOHANNSON (Univ. of Stockholm, Sw)
    Yves KODRATOFF (LRI, Paris, F)
    Stan MATWIN (Univ. of Ottawa, Can)
    Ulrich REIMER (Zuerich, CH) *
    Chantal REYNAUD (LRI, Paris, F)
    Monique SLODZIAN (CRIM-INALCO, Paris, F)
    Stefan WROBEL (Univ. of Magdeburg, D)
    Pierre ZWEIGENBAUM (SIM-APHP, Paris, F)
    (* to be confirmed)

    -- 
    

    Nathalie Aussenac-Gilles IRIT - UMR 5505 du CNRS Tel : +33 5 61 55 82 93 Universite P. Sabatier Fax : +33 5 61 55 62 58 118, route de Narbonne mailto :aussenac@irit.fr 31062 TOULOUSE Cedex 4 ----------------------------------------------------------------------



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