Berkeley Initiative in Soft Computing (BISC)
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International Journal on Semantic Web and Information Systems (IJSWIS)
Special Issue on Soft Computing in the Semantic Web
Call for Papers
INTRODUCTION
Information on the Web varies along many axes. One of these is related to the difference between information produced primarily for human consumption and that produced mainly for machines (as stated by Tim Berners-Lee, James Hendler and Ora Lassila in their Scientific American paper in 2001). A second important axis is the one related to information uncertainty. While intuition suggests that much of the knowledge made available on the Web is in some sense uncertain (especially for machine understandability), for quite a long time Semantic Web models have included little explicit provision for uncertainty representation and processing. This omission has been historically justified as due to the symbolic (as opposed e.g. to fuzzy, statistical or belief-qualified) nature of Web information, as well as to concerns related to the scalability and computational complexity of uncertainty handling.
Today, however, the increasing interest in ontology-based, standard representations of belief-based, possibilistic and probabilistic information, as well as other types of uncertainty, is bringing soft computing techniques for uncertainty representation and processing to the forefront of Semantic Web research.
Some current approaches focus on uncertainty-equipped models capable of providing Semantic Web agents with adaptive approximations of complex, continuous real world concepts. Typically Fuzzy Logic was used to bridge the gap among intuitive knowledge and machine-readable knowledge systems. Much research is also being done on techniques for extracting incomplete, partial or uncertain knowledge, as well as on handling uncertainty when representing extracted information using ontologies, e.g. to achieve semantic interoperability among heterogeneous systems. A closely related though distinct line of research deals with handling conceptualization-related uncertainty, naturally arising in ontology design and in some Semantic Web frontier areas such as ontology mapping and alignment and automated annotation.
In the last few years, a number of seminal workshops and seminars have spread the interest for these issues within both the Semantic Web and the Fuzzy Logic or Soft Computing communities. Also, incubation activities such as the W3C Uncertainty Reasoning for the World Wide Web Incubator Group (URW3) have been fostering a deeper understanding of the challenges related to reasoning with and representing uncertain information on the World Wide Web. In the fullness of time, uncertainty representations will be integrated into standard Semantic Web machinery and models so that every Semantic Web agent could be expected to use a consistent set of soft computing techniques to handle uncertainty. Standard ontology-based representations of uncertainty will be used to encode statistical measures, fuzzy rules or belief networks for transmission across the Semantic Web.
The objective of the special issue of IJSWIS on "Soft Computing in the Semantic Web" is to provide a much needed overview of this interdisciplinary research area as it enters maturity, hosting novel research contributions which (i) augment current Semantic Web tools, models and languages by means of soft computing techniques (ii) provide facilities for representing uncertain knowledge and for reasoning in presence of uncertainty.
IJSWIS is indexed by Thomson Scientific/ISI and other major indices.
TOPICS
The special issue topics of interest include (but are not limited to):
Extending and using Semantic Web models and languages to represent uncertain and incomplete information;
Techniques for extraction of (incomplete, partial or uncertain) knowledge from web resources and representation of extracted information using ontologies;
Exploiting logical formalisms supporting uncertainty as foundations for extensions to Semantic Web models;
Ensuring decidability and complexity of uncertain reasoning on the Semantic Web;
Using plausible and possibilistic reasoning for ontology mapping and alignment;
Handling uncertainty in Semantic Web services selection and orchestration;
Using uncertainty reasoning techniques to assess and handle trust on the Semantic Web;
Designing and implementing uncertainty-aware reasoners;
Looking at the future of uncertainty reasoning on the Semantic Web.
Submission Process
Submissions to this special issue should follow the journal's guidelines for submission . Just after submitting the paper, please also inform Trevor Martin, guest editor, by an email with the paper ID assigned by the submission system.
Papers must be of high quality and should clearly state the technical issue(s) being addressed as related to scalability and performance of SW systems. Research papers should present a proof of concept for any novel technique they are proposing. Case studies should discuss the significance and applicability of their proposed architecture/system. If a submission is based on a prior publication in a workshop or conference, the journal submission must involve substantiadvance (a min. of 30%) in conceptual terms as well as in exposition (e.g., more comprehensive testing/evaluation/validation or additional applications/usage).
Papers submitted to the special issue should not be longer than 20 pages. All papers will be thoroughly reviewed by at least three referees for originality, impact and appeal to nonspecialists. Accepted papers have an opportunity for further revision and an additional round of reviewer feedback.
Important Deadlines
Submission of papers: April 30, 2008.
Notification of acceptance: June 16, 2008.
Submission of final versions of accepted papers: June 30, 2008.
Expected publication: by the end of 2008.
Organizing Committee
IJSWIS Editor in chief
* Amit Sheth, LexisNexis Ohio Eminent Scholar, Kno.e.sis Center, Wright State University, US
GUEST EDITORS
Trevor Martin, University of Bristol, UK
ADDRESS FOR SUBMISSIONS http://web.enm.bris.ac.uk/ai/contact.php?id=xlGVUr1sojU1B8vffOCVlSIIUgODFQ
Ernesto Damiani, University of Milan, Italy
Elie Sanchez, University of Aix-Marseille, France
Peter Vojtas, Charles University Prague, Czech Republic
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