Web-scale Semantic Information Processing
Note revised datesOne of the greatest challenges for the Semantic Web is achieving web-scale. While the information retrieval community has developed successful strategies for coping with the scale of the web using statistical techniques, semantic web technologies are still struggling with scaling up to the web as such. This is in part due to the need to preserve the data’s structure and the need to perform various forms of reasoning in order to more effectively leverage the available information. The need to handle vast amounts of structured data on the web is now widely recognized and efforts like the Billion Triples Challenge have been launched to advance the state of the art with this respect.
For this special issue, we seek papers that present algorithms and architectures that help semantic web systems achieve any form of scalability possessed by contemporary, state-of-the-art web applications, including, but not limited to:
- answering queries and/or reasoning with billions of triples
- operating over hundreds of ontologies or schemas simultaneously
- supporting hundreds of thousands of users and/or concurrently handling semantic web requests from thousands of users
- semantic web search engines,
- benchmark evaluations of the state-of-the-art systems
- systems that process data streams from multiple sensors
- parallel and distributed reasoning,
- Professional support with publishing by Elsevier staff
- Indexed by Thomson Reuters web of science
- Impact factor 3.41: the third highest out of 92 titles in Thomson Reuters' category "Computer Science, Information Systems"
Manuscripts should be prepared for publication in accordance with instructions given in the JWS Guide for Authors. The submission and review process will be carried out using Elsevier Editorial System (http://ees.elsevier.com/jws/). Final decisions of accepted papers will be approved by an editor in chief.
The schedule for the special issue is the following:
- Submissions Due:
July 1st 2010October 1, 2010 - Notification:
December 1st 2010January 15, 2011 - Revised Papers:
February 1st 2011February 15, 2011 - Final Decision: April 1st 2011
- Camera Ready Version: May 1st 2011
Prof. Dr. Heiner Stuckenschmidt (managing guest editor)
Computer Science Institute
University of Mannheim
B6, 26 68159 Mannheim
Germany
Phone.: +49 621 181 2530
Fax: +49 621 181 2682
Email: heiner@informatik.uni-mannheim.de
Jeff Heflin
Associate Professor
Dept. of Computer Science and Engineering
Lehigh University, 19 Memorial Drive West
Bethlehem, PA 18015
Phone: +1 610 758-6533
Fax: +1 610 758-4096
E-Mail: heflin@cse.lehigh.edu