[DL] CFP: IJSWIS Special Issue on Ontology Matching

[pavel]

Apologies for cross-postings

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                     International Journal on
          Semantic Web and Information Systems (IJSWIS)
                        www.ijswis.org
               Special Issue on Ontology Matching

                 
THEME DESCRIPTION
An ontology typically provides a vocabulary that describes 
a domain of interest and a specification of the meaning of 
terms used in the vocabulary. Depending on the precision 
of this specification, the notion of ontology encompasses 
several data/conceptual models, for example, classifications, 
database schemas, or fully axiomatized theories. Ontologies 
tend to be put everywhere. They are viewed as the silver bullet 
for many applications, such as information integration, 
electronic commerce, semantic web services, social networks, 
and so on. They, indeed, are a practical means to conceptualize 
what is expressed in a computer format. However, in open or 
evolving systems, such as the semantic web, different parties 
would, in general, adopt different ontologies. Thus, just using 
ontologies, like just using XML, does not reduce heterogeneity: 
it raises heterogeneity problems at a higher level. 
 
Ontology matching is a plausible solution to the semantic 
heterogeneity problem faced by information management systems. 
Ontology matching finds correspondences between semantically 
related entities of the input ontologies. These correspondences 
can be used for various tasks, such as ontology merging, query 
answering, data translation, etc. Thus, matching ontologies 
enables the knowledge and data expressed in the matched 
ontologies to interoperate.
 
The goal of this special issue is to present recent advances in 
all the themes related to ontology matching. Topics of interest 
include, but are not limited to:

THEORIES AND METHODS
    Formal foundations and frameworks;
    Background knowledge in ontology matching;
    Uncertainty in ontology matching;
    Performance of ontology matching techniques;
    Interactive ontology matching;
    Explanations and transparency of ontology matching;
    Social aspects of ontology matching;
    Multilingual ontology matching;
    Partial automated ontology matching; 
    Libraries of basic (elementary) automatic matchers;
    Automation of the combination of basic matchers;
    Self-configuration of matching solutions;
    Ontology matching evaluation methodology;
    Large evaluation dataset construction;
    Evaluation quality measures;
    Large-scale case studies.
APPLICATIONS
    Information integration;
    Query answering;
    Web query interfaces integration;
    Peer-to-peer systems;
    Multi-agent systems;
    Web services integration.
TOOLS
    User interfaces; 
    Scalability of visualization techniques;
    Customizing technology;
    Systems and Infrastructures.

SUBMISSION GUIDELINES
Submissions to this special issue should follow the Style and 
Author Guidelines for regular IJSWIS papers available at 
http://www.idea-group.com/ijswis. Please submit manuscripts 
through the online system at http://www.ijswis.org with a copy to 
Pavel Shvaiko at pavel at dit.unitn.it. We recommend that manuscripts 
do not exceed 35 pages (including figures and references). Potential 
authors are asked to notify the guest editors of their interest by email 
(pavel at dit.unitn.it) as soon as they are certain to provide a contribution.
      
Submissions will be reviewed by the program committee 
of the special issue. Accepted papers will have an opportunity 
for further revision and an additional round of reviewers' feedback.
 
 
SHEDULE
Email Interest to Submit: as soon as the authors are certain to contribute.
30th June, 2006: submission deadline for manuscripts.
30th September 2006: completion of the 1st round of reviews.
30th November 2006: major/minor revisions due.
15th January 2007: completion of the 2nd round of reviews.
15th February 2007: editorial decisions sent.
Planned Publication: IJSWIS Volume 3, Issue 3 (2007).
 

SPECIAL ISSUE GUEST EDITORS
Pavel Shvaiko, University of Trento, e-mail: pavel at dit.unitn.it
Jerome Euzenat, INRIA Rhone-Alpes, e-mail: Jerome.Euzenat at inrialpes.fr
 
 
PROGRAM COMMITTEE
Sonia Bergamaschi, University of Modena and Reggio Emilia, Italy
Diego Calvanese, Free University of Bozen-Bolzano, Italy
Jerome Euzenat, INRIA Rhone-Alpes, France
Avigdor Gal, Technion, Israel
Fausto Giunchiglia, University of Trento, Italy
Bin He, University of Illinois at Urbana-Champaign, USA
Ryutaro Ichise, National Institute of Informatics, Japan
Yannis Kalfoglou, University of Southampton, UK 
Vipul Kashyap, Clinical Informatics R&D, Partners HealthCare System, USA
Kristina Lerman, USC Information Sciences Institute, USA
Marina Mongiello, Politecnico di Bari, Italy 
Natasha Noy, Stanford University, USA
Luigi Palopoli, University of Calabria, Italy
Arnon Rosenthal, MITRE, USA
Pavel Shvaiko, University of Trento, Italy
Steffen Staab, University of Koblenz, Germany
Heiner Stuckenschmidt, University of Mannheim, Germany
Petko Valtchev, University of Montreal, Canada
Mikalai Yatskevich, University of Trento, Italy
 
 
ABOUT THE JOURNAL 
The International Journal on Semantic Web and Information Systems 
is an open forum aiming to cultivate the Semantic Web vision within 
the Information Systems research community. In the common practice 
of anticipating Semantic Web as a technology driven phenomenon, 
a scientific insight is provided, which reveals the practical 
implications and the research challenges of Semantic Web in the 
context of Information Systems. It goes beyond the traditional research 
agenda of Information Systems and critical themes are analyzed through 
a Semantic Web perspective in horizontal and vertical pillars.
 
More information about the Journal can be found at:
http://www.idea-group.com/journals/details.asp?id=4625
http://www.ijswis.org 

More information about Ontology Matching can be found at:
http://www.ontologymatching.org/ 

Thanks for your time and cooperation!
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Pavel Shvaiko
University of Trento
Dept. of Information and Communication Technology
Sommarive 14, POVO, 38050, TRENTO, ITALY
Web: http://www.dit.unitn.it/~pavel/
http://www.ontologymatching.org/ 
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