Transcript of "Learning and Text Analysis for Ontology Engineering"
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:
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
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
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 (firstname.lastname@example.org)
before March 15th.
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 (email@example.com) before May 24th.
All workshop participants are required to register for the ECAI 2002 main conference.
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
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).
Deadline for paper submissions March 15th
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
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
(http://ol2000.aifb.uni-karlsruhe.de) and IJCAI 2001 (http://ol2001.aifb.uni-karlsruhe.de). The first
meeting of Ontologies and texts was held at EKAW2000 (http://www.irit.fr/wsontologies2000).
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 (http://www-lipn.univ-paris13.fr/groupes-de-travail/A3CTE/)
?? Ontoweb ???
Nathalie AUSSENAC-GILLES (IRIT, Toulouse, F)
Alexander MAEDCHE (AIFB, Karlsruhe, G)
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)
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 will be available on the ECAI web site (http://ecai2002.univ-lyon1.fr/)