Standardisation and Big Data

Why this session?

• Standardisation and interoperability: essential for the creation of the Data Economy
• Find answer to questions:
  • What is the best approach to engage with, and grow the standardisation community?
  • How can it be funded?
  • What de jure and de facto standardisation bodies are relevant for achieving global adoption of Big Data technologies in international standards?

Objectives of the session (1/2)

• Gather a critical mass of people interested in standardisation on specific topics.
• Produce clear ROI success examples for standardisation, based on the performance indicators relevant for BDVA.
• Identify a set of standardisation areas for the data value chain, including their current state and future standardisation needs.

Objectives of the session (2/2)

• Integration of detailed information on standardisation (relevant organisations, topics) in the update of the Big Data Value SRIA.
• A list of liaisons that BDVA could engage with continously to assure appropriate standardisation of Big Data technologies.
• Suggestions for future project areas that should engage in standardisation.

Structure of the session

See
http://www.w3.org/2015/06/bdva-summit_standardisation/

Success stories of standardisation: ITS 2.0 (1/2)

• Localisation: a billion Euro business that constitutes multilingual data value chains
• One missing piece: automization
  • Translator to content creator: What should (not) be translated? What terminology should I use?
• With European Funding: Creation of Internationalization Tag Set 2.0
  • Defines metadata to automatize multilingual content production workflows

ITS 2.0 (2/2): Effect on the European Data Economy

• ITS 2.0 brings a huge advantage to SMEs in the localisation industry over competitors
• Job profiles of translators are effected, e.g.: translators turn into post-editors working with ITS 2.0 information
• ITS 2.0 Text Analytics information eases to create multilingual content analytics data value chains, i.e. creating new economic opportunities for localisation SMEs

Semantic Web Success Stories

New Services

Problems Solved

Big Data Europe