- From: Pascal Hitzler <pascal.hitzler@wright.edu>
- Date: Thu, 5 Jun 2014 09:25:38 -0400
- To: "pascal@pascal-hitzler.de" <pascal@pascal-hitzler.de>
CALL FOR PAPERS C4BD2014 Workshop on COMPLEXITY FOR BIG DATA Workshop at IEEE BigData 2014, Washington, D.C., U.S.A. 27th, 28th, 29th, or 30th of October 2014 (to be determined) http://www.pascal-hitzler.de/C4BD2014/ [paper deadline: August 20] Complexity will lead to both big challenges and opportunities in big data research. Complexity in big data can be caused by many factors, including: * large number of features, which are related to each other through a rich variety of relationships ranging from simple to complicated; * a large number of heterogeneous dimensions, which offer a variety of kinds of insights and require different treatments, in addition to a large number of data records; * a large variety of heterogeneous types, such as vectors, sequences, (labeled) graphs, images, and multimedia, in addition to a large number of instances; * a rich set of logical, semantic, and ontological relationships. Complexity has often been used to successfully characterize various kinds of complicated subjects, for example in computational complexity, descriptive complexity, Kolmogorov complexity. Since big data have many complicated parts with intricate relationships to each other, the study of complexity for big data has potential to be highly successful. Research on complexity of big data needs to consider the following facts, among others: * Big data can be used for different purposes such as data integration, cross domain fertilization, and data mining; * Structures among various parts of big data can be explicit or hidden, and can be described using a rich variety of patterns and models. The Complexity for Big Data workshop is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to Big Data Complexity, including (but not limited to): * new concepts for complexity for Big Data * new techniques for handling complexity for Big Data * analysis of complex relationships * type logic acquisition * scalability of type logic reasoning * dealing with semantic heterogeneity * dimensionality-reduction techniques * query and search over multiple data silos * capture and use of provenance information * analysis of similarity and differences among heterogeneous parts SUBMISSION Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere. Submitted papers must be written in English and should not exceed 9 pages (IEEE BigData Conference foramt) in the case of research and experience papers, or 5 pages in the case of position papers (including figures, bibliography and appendices). All submitted papers will be judged based on their relevance, originality, significance, technical quality and organisation. Papers must be submitted through easychair at https://www.easychair.org/conferences/?conf=c4bd. PRESENTATION Selected papers will be presented during the workshop. The workshop will include extra time for discussion of the presentation allowing the group to have a better understanding of the issues, challenges, and ideas being presented. IMPORTANT DATES Deadline for paper submission: August 20, 2014 Notification of paper acceptance: September 20, 2014 Camera-ready paper due: September 29, 2014 Workshop date: 27th, 28th, 29th or 30th of October, 2014 IEEE BigData 2014 main conference: October 27-30, 2014 WORKSHOP ORGANIZERS Guozhu Dong (Wright State University, Dayton, OH, U.S.A.) Pascal Hitzler (Wright State University, Dayton, OH, U.S.A.) Cliff Joslyn (Pacific Northwest National Laboratory, Seattle, Washington, U.S.A.) PROGRAM COMMITTEE (incomplete) James Bailey, University of Melbourne Longbing Cao, University of Technology Sydney Michel Dumontier, Stanford University Prateek Jain, IBM Krzysztof Janowicz, University of California, Santa Barbara Craig Knoblock, University of Southern California Steffen Lamparter, Siemens Huan Liu, Arizona State University Axel-Cyrille Ngonga Ngomo, University of Leipzig Axel Polleres, Vienna University of Economics and Business Erik Wilde, EMC Corporation CONTACT INFORMATION http://www.pascal-hitzler.de/C4BD2014/ General questions concerning the workshop should be addressed to the Workshop Organizers at c4bd@easychair.org. -- Prof. Dr. Pascal Hitzler Dept. of Computer Science, Wright State University, Dayton, OH pascal@pascal-hitzler.de http://www.knoesis.org/pascal/ Semantic Web Textbook: http://www.semantic-web-book.org Semantic Web Journal: http://www.semantic-web-journal.net
Received on Thursday, 5 June 2014 13:26:45 UTC