- From: Tudor Groza <tudor.groza@deri.org>
- Date: Wed, 07 Apr 2010 09:32:49 +0100
- To: semantic-web@w3.org
[Apologies for cross-posting] -------------------------------------------------------------------------------------------- CALL FOR PAPERS -------------------------------------------------------------------------------------------- 3rd Workshop on Collective Intelligence in Semantic Web and Social Networks (CISWSN 2010) http://resources.smile.deri.ie/ciswsn2010/ co-located with IEEE/WIC/ACM Joint International Conference on Web Intelligence and Intelligent Agent Technology 2010, Toronto, Canada, Aug. 31 - Sept. 3, 2010 -------------------------------------------------------------------------------------------- The Semantic Web is slowly evolving towards its original vision of a Linked Web of Data, in which the machines are able to interpret and exchange knowledge, acting as proxy agents on behalf of human. Even so, the Linked Data Web maintains a large human-driven side, characterized by intensive collaboration, cooperation and knowledge processing activities, that lead to emerging complex social and economical networks. Various knowledge processing techniques are being used to address data portability and Web information discovery problems. Collective intelligence is a key issue to collaboratively share and generate knowledge. Many Web 2.0 (or 3.0) platforms (e.g., blogs and wikis) have been developed to exchange meaningful information and support user-centered tasks on a variety of domains (e.g., e-learning, e-commerce, and e-government). Local knowledge is annotated into a large repositories of content including not only simple documents but also multimedia data. As an example, collaborative tagging (e.g., del.icio.us) still plays an important role in knowledge (or information) sharing between people on social networks. Modeling the dynamics and evolution of such complex networked systems, involving knowledge processing with intelligent information agents acting on behalf of thousands of users, is a promising research area with many practical applications. The aim of this workshop is to bring together researchers and practitioners in areas of knowledge and intelligence, semantics, agents and grid computing to share their visions, research achievements and solutions as well as to establish worldwide cooperative research and development. At the same time, we want to provide a platform for discussing research topics underlying the concepts of Social Semantics for the Linked Web of Data by inviting members of different communities that share this common interest of social semantic collaborative intelligence on the web: * Semantic Web researchers developing and using social semantic techniques for modeling collaboration and intelligence on the Web, * Complex Social Network researchers building static, dynamic and prediction models of complex networks and developing new nature-inspired network analysis methods, * Linked Data researchers providing means for publishing and using Linked Open Data on the Web, and * The Intelligent Agents community that develop agents and algorithms for collaboration and intelligence on the Web. This will give an opportunity to push further the discussion upon the potential of social semantic collaborative intelligence across these communities. TOPICS OF INTEREST * Semantic and knowledge grids * Social semantics for Collective Intelligence * Online Social Networks on the Web * Collective Intelligence - Collaborative tagging, bookmarking and annotation on Web 2.0 * Collaborative filtering and personalization * Community mining techniques * Mining and analysis of social semantic data * Querying social semantic data * Trend and pattern detection from social semantic data * Creation and simulation of artificial societies from social semantic data * Intelligent agents for harvesting and processing social semantic data * Linked Data on the Social Semantic Web * Applications and tools using Social Semantic Web technologies * Dynamical processes on collective behavior in complex social networks * Models and methods for dynamic network analysis IMPORTANT DATES Paper submission deadline: April 16, 2010 Notification of paper acceptance: June 7, 2010 Camera-ready of accepted papers: June 21, 2010 ORGANIZATION COMMITTEE Krzysztof Juszczyszyn, Wroclaw University of Technology, Poland Tudor Groza, DERI, National University of Ireland, Galway, Ireland Katarzyna Musial, Bournemouth University, UK Siegfried Handschuh, DERI, National University of Ireland, Galway, Ireland SUBMISSION GUIDELINES Potential participants are invited to submit full papers, not exceeding 4 pages in length, using the IEEE Computer Society's 2-column conference proceedings format. A maximum of one additional page can be included, but is subject to a surcharge on the conference registration fee. The formatting instructions and author guidelines can be found at http://www.computer.org/portal/pages/ieeecs/publications. The manuscripts should be submitted electronically using the WI-IAT 2010 Cyberchair electronic submission system: * http://wi-consortium.org/cyberchair/wiiat10/scripts/ws_submit.php PROCEEDINGS AND REGISTRATION Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press that is indexed by EI. The workshop will be part of the events of the WI-IAT 2010 conference. There is no separate workshop registration fee. The conference fee includes attendance to any and all workshops.
Received on Wednesday, 7 April 2010 08:32:56 UTC