- From: Rinke Hoekstra <hoekstra@uva.nl>
- Date: Tue, 31 Mar 2009 09:50:20 +0200
- To: jurix@NIC.SURFNET.NL, Semantic Web <semantic-web@w3.org>, dbworld-request@cs.wisc.edu, siksleden@cs.uu.nl, kaw@science.uva.nl, estrella-all@leibnizcenter.org, Vakgroep <vakgroep@leibnizcenter.org>
Apologies for cross-posts
LOAIT '09
3rd Workshop on Legal Ontologies and Artificial Intelligence Techniques
joint with
2nd Workshop on Semantic Processing of Legal Texts
June 8th, 2009, Barcelona, Spain
held in conjunction with ICAIL-09
Paper submission: April 3rd, 2009
Over the last years the management of legal information has been
significantly influenced by approaches from Artificial Intelligence
(AI). In particular, legal reasoning, advanced semantic and cross-
language legal information retrieval, legal drafting and document
classification, have proved to be fertile areas where ontologies are
successfully applied.
The ways in which ontologies are developed and used, can be
characterised as either bottom-up or top-down. The two methodologies
are usually targeted towards different aspects of legal information.
For instance, machine learning techniques are used for legal document
classification, legal information retrieval, legal knowledge discovery
and extraction; similarly Natural Language Processing technology has
been successfully implemented to extract knowledge from legal texts.
As the use of these techniques becomes more widespread, it also
becomes clearer how to enhance their performance. One way of doing
this is to employ structured (domain) knowledge to reduce complexity
and support correct reasoning. Legal ontologies play a crucial role in
providing such knowledge at various levels of specificity and formality.
On the other hand, legal knowledge representation addresses key issues
related to the support of legal reasoning. Here, ontologies play the
role of a shared vocabulary or of a (formal) conceptualisation of
legal notions. These ontologies often stand in the tradition of legal
theory and philosophy, but may be grounded in common sense as well.
The LOAIT workshop aims to offer an overview of theories and well-
founded applications that combine Legal Ontologies and AI techniques.
The workshop will constitute a valuable opportunity for researchers
and practitioners in AI, AI&Law, Legal Ontologies and related fields
to discuss problems, exchange information and compare perspectives.
The first and second editions of the LOAIT Workshop, held in
conjunction with ICAIL’05 and ICAIL’07, provided a valuable
opportunity for researchers and practitioners in Artificial
Intelligence and Law to discuss problems, exchange information and
compare perspectives on Legal Ontologies and their automatic use.
A selection of papers of LOAIT '07 were published in the volume J.
Breuker, P. Casanovas, M. Klein, E. Francesconi (eds.) Law, Ontologies
and Semantic Web (IOS Press, 2009), collecting state-of-the-art
contributions on legal ontologies. These results point at an
increasing interest of the larger AI&Law community in the study and
the use of Legal Ontologies as well as in Natural Language
Technologies for legal information extraction.
Recently ontology learning approaches for the legal domain were
discussed in the LREC 2008 Workshop on "Semantic Processing of Legal
Texts", and selected contributions will be published in a Springer
volume (Francesconi E., Montemagni S., Peters W., Tiscornia D.
(eds.)). These results pointed, and still do, at an increasing
interest of the larger AI&Law community in the study and the use of
Legal Ontologies.
In this third edition of LOAIT, we would like to focus our attention
on two main research area: Legal Knowledge Representation as a top-
down approach, and Ontology Learning from Legal Texts as a bottom-up
approach on legal ontologies. Authors are invited to submit papers
describing original completed work, work in progress, interesting
problems, use cases or research trends related to one or more of the
topics of interest listed below. Submitted papers will be refereed by
two experts based on originality, significance and technical soundness.
Topics of Interest include but are not limited to:
* Knowledge discovery and organization by AI approaches
* Design Patterns in Legal Ontologies
* Ontologies, Legal Standards and machine learning
* Ontologies and machine learning for classification tasks
* Text Categorization and Ontology
* AI techniques on legal standards
* Ontologies and Semantic Web
* Legal Ontologies for Semantic Web Services
* Ontology learning from legal texts, including sub-areas such as
ontology customization, ontology merging, ontology extension, ontology
evolution, etc.
* Ontology Matching
* Lexicons for Legal Applications (Information Retrieval, Legal
Drafting)
* Natural Language Processing and Legal Ontologies
* Natural Language Processing and Legal Information Retrieval and
Extraction
* Information Extraction from legal texts
* Engineering of regulatory ontologies: conceptual analysis,
representation, modularization and layering, reusability, evolution
and dynamics, etc.
* Multilingual and terminological aspects of regulatory ontologies
* Ontological views on models of legal reasoning: regulatory
compliance, case-based reasoning, reasoning with uncertainty, etc.
* Experiences with projects and applications involving regulatory
ontologies in legal knowledge based systems, legal information
retrieval, e-governments, e-commerce
* Modeling legal norms, concepts, rules, cases, principals,
values and procedures, methods for managing organizational change when
introducing legal knowledge systems
* Regulatory ontologies of property rights, persons and
organizations, legal procedures, contracts, legal causality, etc.
Author Guidelines
* Paper length: max. 10 pages
* Paper format: Springer style format
* Paper Submission: http://www.easychair.org/conferences/?conf=loait2009
* Proceedings will be published in paper and electronic formats
by CEUR Workshop Proceedings (CEUR-WS.org)
Important Dates
* April 3, 2009: Paper submission
* April 27, 2009: Notification of acceptance
* May 4, 2009: Camera-ready paper
* June 8, 2009: Workshop
Program Chairs
Nuria Casellas (Institute of Law and Technology, University Autonoma
of Barcelona)
Enrico Francesconi (Institute of Legal Information Theory and
Techniques (ITTIG-CNR) Florence, Italy)
Rinke Hoekstra (Leibniz Center for Law, University of Amsterdam)
Simonetta Montemagni (Institute of Computational Linguistics (ILC-
CNR), PISA, Italy)
Program Committee
Trevor J.M. Bench-Capon, University of Liverpool, UK
V. Richard Benjamins, Telefónica R&D, Spain
Alexander Boer, Leibniz Center for Law, University of Amsterdam, The
Netherland
Joost Breuker, Leibniz Center for Law, University of Amsterdam, The
Netherland
Thomas Bruce, Cornell Law School, US
Paul Buitelaar, DERI research institute in Galway, Ireland
Pompeu Casanovas, Institute of Law and Technology, Universitat
Autònoma de Barcelona, Spain
Aldo Gangemi, Institute of Cognitive Sciences and Technologies (ISTC-
CNR), Italy
Roberto García, Universitat de Lleida, Spain
Mustafa Jarrar, University of Cyprus, Cyprus
Michael Klein, VU University Amsterdam, The Netherland
Alessandro Lenci, Department of Linguistics, University of Pisa, Italy
Wim Peters, Natural Language Processing Research Group, University of
Sheffield, UK
Giovanni Sartor, European University Institute, Florence, Italy
Marco Schorlemmer, IIIA-CSIC, Spain
Erich Schweighofer, University of Vienna, Austria
Barry Smith, University at Buffalo, US
York Sure, SAP Research, Germany
Daniela Tiscornia, Institute of Legal Information Theory and
Techniques (ITTIG-CNR), Italy
Tom van Engers, Leibniz Center for Law, University of Amsterdam, The
Netherland
Réka Vas, Department of Information Systems, University Corvinus of
Budapest, Hungary
Radboud Winkels, Leibniz Center for Law, University of Amsterdam, The
Netherland
---
Drs Rinke Hoekstra
Leibniz Center for Law | AI Department
Faculty of Law | Faculty of Sciences
Universiteit van Amsterdam | Vrije Universiteit
Kloveniersburgwal 48 | De Boelelaan 1081a
1012 CX Amsterdam | 1081 HV Amsterdam
+31-(0)20-5253499 | +31-(0)20-5987752
hoekstra@uva.nl | hoekstra@few.vu.nl
Homepage: http://www.leibnizcenter.org/users/rinke
Received on Tuesday, 31 March 2009 07:50:59 UTC