Program
Download Presentations
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Supported
By
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9:00 – 9:30
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Paul Buitelaar, Philipp Cimiano, Berenike Loos
Introduction to OLP and Overview of the
Workshop
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Session 1
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Lexical
Ontology Enrichment
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9:30 – 10:00
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Roberto Navigli and Paola Velardi
Enriching a Formal
Ontology with a Thesaurus: an Application in the Cultural Heritage Domain
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10:00 – 10:30
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Eric Nichols,
Francis Bond, Takaaki Tanaka, Fujita Sanae and Dan Flickinger
Multilingual
Ontology Acquisition from Multiple MRDs
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10:30 – 11:00
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Coffee Break
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Session 2
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Ontology
Population and Ontology-Based IE
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11:00 – 11:30
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Fabian Suchanek, Georgiana Ifrim and
Gerhard Weikum
LEILA:
Learning to Extract Information by Linguistic Analysis
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11:30 – 12:00
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Bernardo Magnini, Emanuele Pianta, Octavian Popescu and
Manuela Speranza
Ontology
Population from Textual Mentions: Task Definition and Benchmark
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12:00 – 12:30
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Koen Deschacht and
Marie-Francine Moens
Efficient Hierarchical
Entity Classifier Using Conditional Random Fields
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12:30 – 14:00
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Lunch Break
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Session 3
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Taxonomy and
Relation Extraction
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14:00 – 14:30
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Pum-Mo Ryu and Key-Sun Choi
Taxonomy
Learning using Term Specificity and Similarity
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14:30 – 15:00
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Enrique Alfonseca, Maria Ruiz-Casado,
Manabu Okumura and Pablo Castells
Towards
Large-scale Non-taxonomic Relation Extraction: Estimating the Precision of
Rote Extractors
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15:00 – 15:30
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Lucia Specia and Enrico Motta
A hybrid approach
for extracting semantic relations from texts
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15:30 – 16:00
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Coffee Break
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16:00 – 17:45
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Panel
Discussion and Invited Talks by Johan Bos (Universita di Roma, Italy) and Dekang Lin (Google, USA)
Topics:
- What are the important challenges in
ontology learning?
- What are the tasks or applications in which ontologies
and background knowledge show a clear potential for improvement of results?
- How advanced is the state-of-the-art in ontology learning / knowledge
acquisition to support these applications or tasks?
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17:45 – 18:00
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Concluding
Remarks
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Topic and Motivation
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An ontology is an explicit and formal
specification of a shared conceptualization of a domain of interest. Ontologies formalize the intensional
aspects of a domain, whereas the extensional part is provided by a
knowledge base that contains assertions about instances of concepts and
relations as defined by the ontology. The process of defining and
instantiating a knowledge base is referred to as knowledge markup or
ontology population, whereas (semi-)automatic support in ontology
development is usually referred to as ontology learning.
Ontologies have been broadly used in knowledge
management applications, including Semantic Web applications and research.
In recent years, ontologies have regained
interest also within the NLP community, specifically in such applications
as information extraction, text mining and question answering. However, as
ontology development is a tedious and costly process there has been an
equally growing interest in the automatic learning of ontologies.
Much of this work has been focused on textual data as human language is a
primary mode of knowledge transfer. In this way, textual data provide both
a resource for the ontology learning process as well as an application
medium for developed ontologies.
Automatic methods for text-based ontology learning and population have
developed over recent years, but it is difficult to compare approaches and
results. In the 1st
Workshop on Ontology Learning and Population (at ECAI 2004) we
addressed this issue through an emphasis on the evaluation aspects of the
reported work. In the context of the 2nd workshop we intend to
continue this emphasis by providing a common data set for participants to
work with, consisting of an ontology and document collection in the
football (soccer) domain and a corresponding automatically extracted
knowledge base. Participants will be free to use this or other data, but
are encouraged to (also) use the OLP2 data set for their
experiments in order to better compare results with other participants.
An additional topic we intend to address at this workshop is the relation
between NLP and ontology development, the communities of which are working
on similar topics but using different terminology. As this leads to a
confound communication, the potential for interdisciplinary work becomes
much less pronounced. We therefore intend the workshop to contribute to an
enhanced interdisciplinary understanding of tasks, methods and evaluations.
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Areas of Interest
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To provide a clear focus we request novel
work on:
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- Concept formation on the basis of text
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- Learning concept hierarchies /
non-taxonomic relations / rules / axioms from text
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- Named-Entity Recognition with respect
to an ontology
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- Ontology-based information extraction
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- Ontology learning for IE, IR, MT, QA
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- Gold standard and task-based evaluation
of ontology learning, e.g. in IE, IR, MT, QA
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Important Dates
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April 20th
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Submission
Deadline
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May 17th
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Notification
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June 2nd
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Camera-ready
Version
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July 22nd
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Workshop
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Submission
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Submissions should follow the two-column
format of ACL proceedings and should not exceed eight (8) pages,
including references. Submission will be electronic.
The only accepted format for submitted papers is Adobe PDF. Papers must
be submitted no later than April 20, 2006 (12 pm GMT) under:
http://www.softconf.com/acl/W5-COLINGACL2006/submit.html
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Organizing Committee
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Program Committee
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Eneko Agirre
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Basque Country University, Spain
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Enrique Alfonseca
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Universidad Autónoma de
Madrid, Spain
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Nathalie Aussenac-Gilles
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IRIT- CNRS Toulouse, France
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Timothy Baldwin
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University of Melbourne, Australia
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Roberto Basili
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Universitŕ di Roma "Tor Vergata", Italy
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Johan Bos
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Universitŕ di Roma "La Sapienza", Italy
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Christopher Brewster
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University of Sheffield, UK
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Massimiliano Ciaramita
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LOA-ISTC, Italy
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Nigel Collier
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National Institute of Informatics, Japan
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Ido Dagan
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Bar Ilan University, Israel
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Eric Gausier
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XEROX XRCE, France
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Asuncion Gomez-Perez
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Universidad Politécnica
de Madrid, Spain
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Marko Grobelnik
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Jožef Stefan Institute, Slovenia
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Siegfried Handschuh
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DERI Galway, Ireland
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Andreas Hotho
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University of Kassel, Germany
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Eduard Hovy
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USC, Information Sciences Institute, USA
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Vipul Kashyap
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Partners HealthCare System, USA
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Bernardo Magnini
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ITC-IRST, Italy
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Diana Maynard
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University of Sheffield, UK
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Adeline Nazarenko
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LIPN - Université Paris-Nord, France
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Claire Nedellec
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MIG, INRA, France
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George Paliouras
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NCSR "Demokritos",
Greece
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Patrick Pantel
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USC, Information Sciences Institute, USA
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Robert Porzel
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European Media Lab,
Germany
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Marie-Laure
Reinberger
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Universiteit Antwerpen, Belgium
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Marta Sabou
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Knowledge Media Institute, UK
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Michael Sintek
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DFKI, Germany
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Peter Spyns
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Vrije Universiteit Brussel, Belgium
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Steffen Staab
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University of Koblenz-Landau, Germany
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Vojtech Svatek
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University of Economics, Prague, Czech Rep.
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Paola Velardi
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Universitŕ di Roma "La Sapienza", Italy
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Dominic Widdows
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MAYA Design, USA
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Workshop Registration
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All workshop participants must register for
COLING/ACL 2006
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Links
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Selected and extended papers from the ECAI
2004 Workshop on Ontology
Learning and Population and the EKAW 2004 Workshop on the Application
of Language and Semantic Technologies to Support Knowledge Management
Processes have been published in:
Paul Buitelaar,
Philipp Cimiano,
Bernardo Magnini (eds.) Ontology
Learning from Text: Methods, Evaluation and Applications Frontiers in
Artificial Intelligence and Applications Series, Vol. 123, IOS Press, July
2005
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