Workshop: Semantic Web-based R&D Trend Analysis on BigData
(This workshop is a workshop in the 2nd Joint International Semantic Technology Conference.URL: http://www.ei.sanken.osaka-u.ac.jp/jist2012/index.html)

-------------------------------------------------------------------------------------
# Motivation
-------------------------------------------------------------------------------------
In the light of the recent wave of Big Data and its Analytics, the Semantic Web-based Trend Analysis on Big Data is quite interesting and beneficial to the researchers as well as the practitioners from engineering to business. In addition, this workshop deals with one of the advancing technologies for Semantic Web-based Big Data Analytics. Specifically, by bringing together representatives of academia and industry, the workshop will be also a means for identifying new research problems and disseminating results of the research and practice.

-------------------------------------------------------------------------------------
# Workshop Description
-------------------------------------------------------------------------------------
R&D Trend Analysis is to discover and predict technical opportunities and technology trends using Semantic Web technologies to improve the performance of user’s tasks such as decision making, project management, and R&D planning. However, the analysis and prediction of R&D or business trends from various kinds of Big Data sources such as Web documents, papers and patents could furnish corporation’s executives or project managers with informative & predictive support for decision making on marketing, sales and product direction. As core technologies for supporting R&D Trend Analysis, Text Mining and Semantic Web have been studied and proven to be effective for decades. So, in this session, we are going to cover all aspects that relate to research and practical issues of Semantic Web-based R&D Trend Analysis on Big Data.

Topics of interest for the session will include but will not be limited to:
- R&D Trend Analysis based on Semantic Web
- Knowledge Acquisition for R&D Trend Analysis
- NLP & Text Mining for R&D Trend Analysis
- Services for R&D Trend Analysis
- Big Data Management for R&D Trend Analysis
- Big Data Analytics for R&D Trend Analysis

-------------------------------------------------------------------------------------
# Submission Guidelines
-------------------------------------------------------------------------------------
- Authors are invited to submit original papers that MUST NOT have been submitted to or published in any other workshop, conference, or journal.
- Submissions must be in PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS).
- Submissions must be no longer than 16 pages for regular paper and 6 pages for short paper.
- All submissions be submitted via EasyChair at https://www.easychair.org/conferences/?conf=swrtab2012
- All papers will be reviewed by the Program Committee for significance, originality, accuracy, and clarity.
- Accepted papers will be distributed to conference attendees and also published by Springer in the printed conference proceedings.
- At least one author of each accepted paper must register for the conference and present the paper there.

-------------------------------------------------------------------------------------
# Important Dates
-------------------------------------------------------------------------------------
- Submission due: September 30, 2012
- Notification of acceptance: October 20, 2012
- Final Submission: November 4, 2012
- Conference: December 2, 2012