International Workshop on Big data for Knowledge Engineering (BIKE)
|Start||December 2, 2012 (iCal)|
|End||December 4, 2012|
|Submissions due:||September 25, 2012|
|Notification:||October 5, 2012|
|Camera ready due:||October 19, 2012|
Event in series BIKE
The 1st International Workshop on Big data for Knowledge Engineering will be held in conjunction with JIST2012 in December 2012 (Nara, Japan).
- Paper submission: September 25, 2012
- Author Notification: October 5, 2012
- Camera-ready submission: October 19, 2012
Workshop Aims and Scope
Recently, increasing numbers of data providers have begun to publish Linked data, which enables data from different sources to be connected and queried. By September 2011, the Linked data had grown to 31 billion RDF triples, which were inter-linked by around 504 million links. In particular, these data sets cover diverse domains such as e-government, geographic information, social network, music, scientific publication, biology, and sensor network. Thus, management, analysis, and visualization of these large scale data sets have become major challenges in the web of data. This workshop aims to discuss the state-of-the-art research and development of very large linked data. In particular, we focus on the scalable management (e.g., storage, query processing, search, reasoning, maintenance, etc), analysis, integration, and visualization of large linked data sets. We welcome papers that address fundamental research issues in these challenging areas. We also encourage papers to present architectures and services for data management techniques supporting large scale linked data. The workshop will provide a cross-disciplinary forum for researchers to share their research efforts and ideas between industry and academia. By bringing together representatives of academia and industry, the workshop is also a means for identifying new research problems and disseminating results of the research and practice.
Top.css of Interest
The aim of this workshop is to cover all aspects that relate to research and practical issues of big data processing. Top.css of interest include but are not limited to:
- Linked data modeling for knowledge extraction
- Semantic and social data on the cloud platform
- (Governmental) large scale linked data
- Data interoperability and exchange
- Semantic sensor data
- Integrating social and linked data
- Scalable solutions for linking linked data
- Search, query and analysis on large scale linked data
- Reasoning over large scale linked data
- Mining of big data
- Maintenance of evolving big data
- Visualizing large scale linked data
- Trends and technologies on big data
- General ontologies for (open) linked data
- Creating and combining social and linked data
- Linked data analysis Entity disambiguation on large scale linked data
- Visualizing semantic & linked data
The BIKE workshop invites researchers, engineers, service developers to present their research and works in the field of Semantic Web. Papers may deal with methods, models, case studies, practical experiences and technologies.
Authors are invited to submit original manuscripts, neither submitted nor accepted for publication in any other workshop, conference, or journal. They must be written in English. We provide two call for papers:
Submissions must be in PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). BIKE 2012 will not accept submissions that are under review for or have already been published in or accepted for publication in a journal or another conference.
- Research Paper: We solicit submission of original research, as well as experience and vision papers from both researchers and practitioners. Prepare your paper in the LNCS format (up to 16 pages). Prepare your paper in the LNCS format.
- Poster Paper: The number of pages of the contribution must be no more than 2 pages. This page limit includes all parts of the paper (i.e. title, abstract, body, and bibliography).
Authors are invited to send their manuscripts as an attachment (PDF/PS format) through the EasyChair system, https://www.easychair.org/conferences/?conf=bike2012. In case of any inquires, please do not hesitate to contact organizing committee chairs: email@example.com.
- Brahmananda Sapkota ( University of Twente, Netherlands)
- Dong-Hyuk Im (Seoul National University, Korea)
- Haklae Kim (Samsung Electron.css Co. Ltd., Korea)
- Zhangbing Zhou (Institut TELECOM & Management SudParis, France)
- Myungdae Cho (Seoul National University, Korea)
- Eung-Hee Kim (Seoul National University, Korea)
- Harshit Kumar (University of Suwon, Korea)
- Simon Scerri (Digital Enterprise Research Institute, Ireland)
- Renaud Delbru (Digital Enterprise Research Institute, Ireland)
- Tudor Groza (The University of Queensland, Austrailia)
- Andreas Harth (Karlsruhe Institute of Technology, Germany)
- Lei Shu (Osaka University, Japan)
-- To be Extended --