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Learning and Text Analysis for Ontology Engineering
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Learning and Text Analysis for Ontology Engineering


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  • 1. _______________________________________ CALL FOR PAPERS AND PARTICIPATION _______________________________________ Learning and Text Analysis for Ontology Engineering Workshop held in conjunction with the ECAI 2002 conference Lyon (France), July 22-23 2002 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, 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 converge with the recent proposals from various communities to build a Semantic Web (i.e. a Web where the contents of the resources can be "understood" by machines as by men). One popular solution relies on ontologies and annotations of Web resources w.r.t. these ontologies. The size of the Web implies to be 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 for improving the semi-automatic building of such ontologies and of such annotations. Engineering ontologies may be considered as a process stemming from (possibly evolutive) knowledge sources to a structured conceptual model. Among all knowledge sources, we pay special interest 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 and multi-agent systems are mature enough to be worth being integrated in 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 a unique opportunity to these communitie to confront their views and results. To this end, the workshop will not only pay attention to practical and technical problems but also to a theoretical reflection about building, maintaining and reusing terminological ressources and ontologies. We would also to debate the nature of ontologies, their genericity according to applications and sources. We strongly encourage cross-disciplinary contributions, in particular those involving linguistics. Technical and theoretical issues to be discussed at the workshop include, but are not limited to:
  • 2.  Status of texts as knowledge sources, conection between ontologies and texts  Linguistic and terminological ressources as knowledge sources  Learning from machine-readible dictionaries  Extending existing ontologies (Wordnet)  Text Mining for building ontologies  Linguistics (techniques and principles) to build ontologies  Natural Language Processing (NLP) tools for building and maintaining ontologies  Ontologies for Text and Document Processing  Learning selectional restrictions  Multi-relational learning, Inductive Logic Programming  A-Box mining  Learning ontologies with inferences (e.g. using description logics)  Cooperative learning of ontologies  Ontologies and NLP tools for the semantic web  Learning ontologies from the Web (from DTDs, XML files, RDF files) Call for papers and paper evaluation Papers should be no longer than 2500 words. They can either report research works, practical experiments whether achieved 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 AND ps files) to Rose DIENG-KUNTZ ( 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 Rose DIENG-KUNTZ ( 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). Agenda Deadline for paper submissions March 15th
  • 3. Notification of acceptance April 26th Deadline for motivation abstracts May 24th Deadline for final contributions May 24th Papers available on-line to participants June 10th Workshop July 22nd-23rd History This workshop is the first attempt to set up a dialog between two emerging communities that used to organise two workshop series : the Ontology Learning workshops and the Ontologies and texts wrokshops. Previous editions of Ontology Learning took place during ECAI2000 ( and IJCAI 2001 ( The first meeting of Ontologies and texts was held at EKAW2000 ( Scientific Support This workshop is promoted by the following scientific associations:  French working group on Terminology and Artificial Intelligence (TIA) (;  the ATALA, the French Association dedicated to Natural Language Processing (;  A3CTE, the French working group on Applications, Learning and Knowledge Acquisition from Electronic Documents (  ?? Ontoweb ??? Workshop chairs Nathalie AUSSENAC-GILLES (IRIT, Toulouse, F) Alexander MAEDCHE (AIFB, Karlsruhe, G) Program Committee Roberto BASILI (University Tor Vergata, Roma, I) * Brigitte BIEBOW (LIPN, Paris, F) Teresa CABRE (Universitat Pompeu Fabra, Barcelona, S) * Anne CONDAMINES (ERSS, Toulouse, F) Ido DAGAN, (Bar Ilan University, Israel) Rose DIENG-KUNTZ (INRIA, Sophia Antipolis, F) Jérôme EUZENAT (INRIA, Grenoble, F) * Dieter FENSEL (Vrije Universiteit, Amsterdam, NL) * Nicola GUARINO (Italian National Research Council, I) * Udo HAHN (Frieburg University, G) * Ian HORROCKS (Univ. of Manchester, UK) Ed HOVY (Information Science Institute, USA) Paul JOHANNSON (Univ. of Stockholm, Sweden) Yves KODRATOFF (LRI, Paris, F) Stan MATWIN (Univ. of Ottawa, Can) Ingrid MEYER (Univ. of Ottawa, Can) * Adeline NAZARENKO (LIPN, Paris, F) Claire NEDELLEC (LRI, Paris, F) Jennifer PEARSON (UNESCO, Paris, F) * Ulrich REIMER ( Zuerich, Sw) * Marie-Christine ROUSSET (LRI, Paris, F) Stephen STAAB (AIFB, Karslruhe, G)
  • 4. Monique SLODZIAN (CRIM-INALCO, Paris, F) * Gertjan Van HEIJST (Kenniscentrum CIBIT, Utrecht, NL) * Bernard VICTORRI (ENS, Paris, F) * Stefan WROBEL (Univ. of Magdeburg, G) Pierre ZWEIGEBAUM (SIM-APHP, Paris, F) * (* acceptance to be confirmed) Registration information Registration information will be available on the ECAI web site (