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2013ÍøÂç´óÊý¾Ý¹ú¼ÊÑÐÌֻᣨÄϾ©£¬10ÔÂ13ÈÕ£¬EI¼ìË÷£© Call for Papers:  2013 International Workshop on Big Web Data (BigWebData2013) http://wasp.cs.vu.nl/BigWebData/BigWebData2013/ The Web Information and System Engineering conference series has established itself as the major annual event for the discussion on the novel challenges related to the efficient data storing and processing. Big data offers a lot of opportunities in terms of the increasing business value, efficiency, and productivity of the data processing platforms, but also introduces a lot of challenges that are related to the amount, heterogeneous structure, and the generating frequency of the data on the Web. Along with the traditional problems related to the amount and frequency of new data generation, the newly-appearing challenges are related to the heterogeneous nature of data and the impact of data volumes on the value of applications using those data. From the technological perspective, the age of big data presents a variety of challenges in how to store, access, handle, stream, process, and analyze massive amounts of structured and unstructured data effectively. Using high performance computing and cloud infrastructures is essential in dealing with these issues. In the near term, the major issue with the big data oriented applications will be to find new ways to leverage the technology available today to improve the performance and scalability, reduce response time, figure out more efficient ways to deliver services to end-users, and meet the growing demand for virtualized (web and cloud) big data services. The workshop will serve as a discussion forum on the web-scale data applications, as well as the technologies that enable scaling up the current data processing techniques to the size that is envisioned by the future Web. The workshop will look for applications with challenging requirements to processing and storing frameworks and infrastructures, as well as for the technologies addressing those requirements. Owing to our previous experience of organizing such workshops in collocation with WISE conference, we expect a successful (in terms of participation auditory and quality of presentations) event. ================ Event Information ================= The workshop addresses the current and future challenges related to the development of web-scale data-centric applications. The main topics of interest for the workshop are grouped in four main tracks (web-scale application scenarios, databases and storage technologies, big data analytics integrated solutions, parallelization and scaleup techniques), as follows:     Web-scale application scenarios     - Resource discovery     - Streaming data aggregation and processing     - Semantically-enabled decision support systems     - Benchmarking of web-scale applications     - Personalization and contextualization     - Visualization frameworks     Databases and storage technologies     - Databases with a scale-up potential     - Query languages and information look-up technologies     - Data mining, search, and indexing     - Context-aware data scheduling     Big data analytics integrated solutions     - Complex solutions for data processing     - Workflow engines and data modeling technology     - Streaming data acquisition and processing platforms     - Scalable reasoning for the Web     - Cognitively-inspired approaches to deal with large and dynamic information     Parallelization and scale-up techniques     - Web-friendly programming languages (Java etc.) support     - Parallelization libraries (MapReduce, MPI, etc.)     - Scale-up techniques (proprietary parallelization software)     - Middleware enabling the infrastructure access (HPC, Grid, Cloud)     The workshop will take place during the 14th International Conference on Web Information System Engineering (WISE2013, http://www.wise2013.org/), October 13th-15th, Nanjing, China, as a full-day event.     Please note that for every accepted paper at least one of the authors must attend the workshop and must register for the workshop and the main conference. Submission of a paper is not required for attendance at the workshop. However, in the event that the workshop cannot accommodate all who would like to participate, those who have submitted a paper will be given priority. ==================     Important Dates ==================     July 18th, 2013, Submission of papers     August 18th, 2013, Notification of acceptance     Sept 10th, 2013,  Camera-ready version due     Oct 13th, 2013, Workshop ================ Organization =================     Chairs         Alexey Cheptsov, High Performance Computing Center Stuttgart (HLRS), Universitat Stuttgart, Germany         Guilin Qi, Southeast University, China         Zhisheng Huang, Vrije University of Amsterdam, the Netherlands     Program Committee (to be confirmed and complete)         Neil Audsley, University of York, UK         Michael Resch, University of Stuttgart, Germany         Bastian Koller, High Performance Computing Center Stuttgart         Frank van Harmelen, Vrije University Amsterdam, the Netherlands         Haofen Wang, Shanghai Jiaotong University, China         Jianfeng Du, Guangdong University of Foreign Studies, China         Kewen Wang, Griffith University, Australia         Wei Hu, Nanjing University, China         Jeff Pan, University of Aberdeen, UK         Alexey Cheptsov, High Performance Computing Center Stuttgart, Germany         Zhisheng Huang, Vrije University Amsterdam, the Netherlands         Guilin Qi, Southeast University, China ==============     Submissions ==============     The workshop invites full papers (up to 14 pages). Submissions should be formatted according to the Lecture Notes in Computer Science guidelines for proceedings available at http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0. Papers should be submitted in PDF format.     Furthermore papers need to be submitted electronically through the EasyChair system using the following link: https://www.easychair.org/conferences/?conf=bigwebdata2013 ============     Proceedings ==============     The proceedings of the BigWebData2013 workshop will be published by Springer in its Lecturer Notes in Computer Science series. The proceedings will be published post conference.    Êղؠ  ·ÖÏí   ¶¥(0)