In the afterglow of the global financial crisis, we often ask ourselves how can we prevent such events in the future? How the results of scientific investigations can be relevant for the financial industry in order to improve financial decision-making process? The recent outbreak of the Big Data technologies for massive data extraction and analysis provides a great opportunity to target unwavering challenges of Financial and Economic Data Science.

The FEOWS2014 workshop addresses accurately an important shift on information demand for better financial an economical decision making process by taking place at the right spot in time when the financial world is still facing global recession side effects, which will increase the levels of Financial and Economic Data Science Technologies.

The workshop aims at bringing together researchers from several disciplines such as economics, finance, financial data extraction and management, politics and their relationship with Computer Science with a common interest in new investigations related to the field of finance, economics and their appliance to the Web of Data, Data Science, Knowledge Management and Semantics.

The workshop is focused on (but not limited to):

Financial Data Management
Financial Linked Data
Big Data technologies in the Financial Domain
Data Science in Finance and Economics
Trust and Security of Financial Data Management
Semantic Technologies in the Financial Domain
Financial Accounting Systems on the Web: Financial Reporting with Semantics
Semantic XBRL
Control mechanisms for Financial Information based on Intelligent Data Management
Web Science and Economic Data
Financial and Economics Semantic Web Languages
Algorithms for Financial and Economic Data Extraction on the Web

Important Dates:

Submission deadline: March 6, 2014
Notifications: April 1, 2014
Camera ready version: April 15, 2014

Author Instructions:

Papers should not exceed twelve (12) pages in length and must be formatted according to the information for LNCS authors. Short papers are also welcome. Papers must be submitted in PDF (Adobe's Portable Document Format) format and will not be accepted in any other format. Papers that exceed 12 pages or do not follow the LNCS guidelines risk being rejected automatically without a review. Authors of accepted papers will be required to provide semantic annotations for the abstract of their submission - details of this process will be provided on the conference Web page at the time of acceptance. At least one author of each accepted paper must register for the conference.

More information about the Springer's Lecture Notes in Computer Science (LNCS) are available on the Springer LNCS Web site.

Workshop papers are to be submitted through the Easychair system: https://www.easychair.org/conferences/?conf=feosw2014