AAAI-06 Workshop Call For Papers: Ontology Learning on the Semantic Web

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AAAI-06 Workshop

Ontology Learning on the Semantic Web


Call for Papers


Workshop Description and Objectives

With the advent of the Semantic Web, standard ontology languages are
emerging that will allow concept sharing on a wide scale.  Ontologies
expressed in a standard language, such as the Web Ontology Language
(OWL) and exposed on a network offer the potential for unprecedented
interoperability solutions since they are semantically rich, computer
understandable and inherently extensible.  However, the potential power
of ontological solutions is curtailed by the difficulty and expense of
building and maintaining ontologies manually.  Further, one of the
tenets that the Semantic Web inherits from the World Wide Web is that
anyone can publish anything about anything.  So, the accuracy and
relevance of information encountered on the Semantic Web cannot be
guaranteed, nor can consistency across multiple sources.  How can
ontology learning techniques be applied over the web based on the trust
and reputation of information sources?


The purpose of the Ontology Learning Workshop will be to bring together
researchers from academia and industry to exchange the latest advances
in ontology learning.  Our goals is to assemble the latest research
results that advance the automation of ontology learning over the web
and demonstrate the potential power of the technology.  We will also
focus on solutions to some of the challenges in learning over the open
web, including the role of trust in automated ontology learning.  We
also seek to identify use cases to which the research can be applied.  



We invite papers on the latest advances in ontology learning techniques
and algorithms.  We are interested in position papers that propose new
methods and design patterns for automated ontology generation, linking
and maintenance.  In particular, we are interested in applying models
of trust for ontology learning.  We are also interested in
applications, including requirements, lessons learned and issues with
ontology learning over a network.



We encourage participation from a variety of communities, including
researchers from academia and industry, standards organizations, and
vendors.  Users who seek interoperability solutions may be interested
in how to automate ontology generation.



The workshop will follow the following format.  First, we will invite a
leader in Ontology Learning to summarize the latest advances in this
area.  We will then present a series of talks that focus on
advancements in techniques to support automated ontology learning over
the web.  In the afternoon, a second invited speaker will discuss trust
models and propose how those might be used to support ontology
learning.  This will be followed by a panel session on issues in
ontology learning, which will be an interactive exchange between panel
members and the audience on the challenges in ontology learning on the
Semantic Web.  Finally, we will present a session to focus on
applications, including requirements, lessons learned and issues with
ontology learning over a network.  The workshop will close with an
identified set of follow up actions and next steps in advancing
automated ontology learning over the Semantic Web.


Products of the workshop include a set of proceedings, as well as
issues and requirements for an integrated framework for automated
ontology construction and maintenance.


Submission Requirements

We invite papers up to 8 pages in length in the style specified by AAAI

<outbind://132/> ).
Papers should describe original completed work, work in progress, or
interesting problems or use cases.  Submitted papers will be fully
refereed based on the originality and significance of the ideas
presented as well as on technical aspects.  Submissions should be made
electronically to <>   before
March 31, 2006.  


Workshop Chairs

Dr. Jugal Kalita

University of Colorado at Colorado Springs

1420 Austin Bluffs Parkway

Colorado Springs, Colorado  80918

Office (719) 262.3432

Fax (719) 262.3369 <outbind://132/> 


Dr. Leo Obrst 

The MITRE Corporation

7515 Colshire Drive
McLean, VA 22102-7508

Office (703) 983.6770

Fax (713) 983.1379 <outbind://132/> 


Dr. Peter Patel-Schneider

Bell Labs Research

600 Mountain Avenue

Murray Hill, New Jersey 07974

Office (908) 582.4471

Fax (908) 582.7308 <> 


Ms. Suzette Stoutenburg

The MITRE Corporation

1155 Academy Park Loop

Colorado Springs, Colorado  80910

Office (719) 572.8323

Fax (719) 572.8477 <> 

Received on Tuesday, 7 February 2006 18:52:38 UTC