Cloud SOA Semantics and Data Science Conference

This is a guest post prepared by the SOA, Semantics, & Data Science conference for the Data Community DC Blog to provide introduction/context to the types of technology that the conference focuses on, and its applications.

CSDS_Logo_v2Featuring 15th SOA for E-Gov Conference:

Conference Title: Cloud: SOA, Semantics, & Data Science Theme: The Changing Landscape of Federal Information Technology Dates: 9/10/2013  to 9/11/2013 Location: The Waterford, Springfield, VA Contact: Tammy Kicker ( Web Site:

Federal organizations are racing to capitalize on social, mobile and cloud computing trends to provide solutions for their agency mission needs.  At the same time, there is great pressure to spend less while improving capability, service, cost and flexibility.

This event is an open knowledge exchange forum for communities of practice in Cloud, SOA, Semantics, and Data Science.  It brings together thought leaders and experts from the federal and business communities to continue the conversation around best practices in advancing SOA, semantic technology and data science within the Cloud construct.

The event builds on the successes of two previous events: the Service-Oriented Architecture (SOA) e-Government Conferences and the Department of Defense SOA and Semantic Technology Conferences.

This event is focused on SOA, Cloud Computing, Semantics Technology and Data Analytics.

SOA uses data as a service, which in turn requires dealing effectively with semantics.  Data science is used to process and analyze the data for those semantics to extract information.  Given the recent pronouncement by Dominic Sale, OMB (invited Keynote) that "all content is data", this conference is especially timely and focused.

Presenters and panelists will examine the benefits of governance frameworks and approaches Federal agencies are pursuing to increase the maturity and efficiency of their SOA, Cloud, Semantic Technology and Data Science.

The types of technology focused on and its applications are summarized in the table below.


Speaker Technology Applications Comments
Brand Niemann Data Science Data Visualization Tools (12 Leaders and Chalengers) OMB Analytic Data Sets and Public Data Sets for DC Data Science Community Director and Senior Data Scientist, Semantic Community and Founder of Federal SOA Community of Practice
Dominic Sale (invited) TBD TBD OMB Chief of Data Analytics & Reporting
Steve Woodward Cloud Computing in Canada New Agency CEO, Cloud Perspectives
David S. Linthicum Cloud and SOA Convergence Your Enterprise Cloud Computing Thought Leader, Executive, Consultant, Author, and Speaker
Denzil Wasson Semantics Cloud and SOA for Government Chief Technology Officer, Everware-CBDI
Vendor Showcase Multiple Multiple Always a Favorite at These Conferences
Use Cases and Pilots Cray Grph Computer Semantic Medline - National Library of Medicine & White House OSTP’s NITRD Federal Big Data Senior Steering WG Discovery of Disease Cause and Effect
Geoffrey Charles Fox Cyberinfrastructure Enabling e-Government, e-Business and e-More Or Less Anything Associate Dean for Graduate Studies & Research Distinguished Professor of Computer Science and Informatics, Indiana University
Dennis Wisnosky Semantics Mainstream Former DoD Business Mission Area CTO, member of the Enterprise Data Management Council
Michaela Iorga Cloud Computing and Security Government and Industry Senior Security Technical Lead for Cloud Computing and Chair, NIST Cloud Computing Security WG
Use Cases and Pilots Semantics & Other Mission/Business Transformation Needs Four Applications for Department of Veterans Affairs and Other Organizations

Your participation and suggested contributions are welcomed to continue to build and sustain this unique community of communities of practice to improve the delivery of government services in support of the US Federal Digital Government Strategy and Open Government Data Initiatives.


Brand Niemann, former Senior Enterprise Architect and Data Scientist with the US EPA, completed 30 years of federal service in 2010. Since then he has worked as a data scientist for a number of organizations, produced data science products for a large number of data sets, and published data stories for Federal Computer Week, Semantic Community and AOL/Breaking Government.