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Michael Witbrock
Cycorp Europe
witbrock@cycorp.eu
Michael Witbrock
Cycorp, witbrock@cycorp.eu
July 26nd 2010
23 Languages
27 Legal Systems
27 Countries
Not integrated: Integrating
27 Countries
Not integrated: Integrating
More in the future
Recent resurgence of scientific, technical
and commercial interest in Artificial
Intelligence generally
Intersection of the web and Knowledge
representation (Semantic Web)
Semantic Technology: integrate shallow
semantics ubiquitously to increase
software flexibility and decrease cost
http://cordis.europa.eu/ist/kct/fp6_projects.htm (2002-2006)
EC ICT FP6EC ICT FP6EC ICT FP6EC ICT FP6
EC ICT FP7EC ICT FP7EC ICT FP7EC ICT FP7 € 9.1 billion total
http://cordis.europa.eu/fp7/ict/content-knowledge/projects_en.html (Current)
Enormous amount of
research on semantic
technology
Are companies
Appearing?
Data IntegrationData IntegrationData IntegrationData Integration
StorageStorageStorageStorage
InferenceInferenceInferenceInference
EU: Enabling
◦ Corporate Web Sites
◦ Corporate Services (Business Facing)
◦ Platforms (Triple Stores, SOAs, Rule Platforms)
◦ Public Goods (like Roads, Power Grids, Farms)
◦ Little or no-M&A
US: Consumer FacingUS: Consumer Facing
◦ Flashy Web Sites
◦ Individual Users (Public-facing)
◦ Applications (Search, Assistant, News)
◦ Private Goods (like Cars, Cellphones, Meals)
◦ Venture Backed, increasing M&A
Source: LarKC Project Deliverable 9.3
Increasing use of shallow semantics
◦ RDFa in Yahoo and Google, Facebook social
graph, NYT, BestBuy product catalogues
◦ Easy to use vocabulary:
Deeper Semantics in FutureDeeper Semantics in Future
◦ Beyond RDF: OWL, RuleML, CycML
◦ URIs with complex content
◦ By Computers for Computers
But, maybe only beginning
Source: Provisional estimate of product market potential. OVUM. Datamonitor
Source: Provisional estimate of product market potential. OVUM. Datamonitor
EU Value IT Project http://blog.value-it.isoco.net/
Source: Provisional estimate of product market potential. OVUM. Datamonitor
Companies Deploying Intelligent Technology
EU Value IT Project Surveys http://blog.value-it.isoco.net/
Of those, Companies Planning Semantic Technology
Identify
•Relevant Sources
•Relevant Content
•Relevant Context
•Relevant Sources
•Relevant Content
•Relevant Context
Select
•Relevant Problems
•Relevant Methods
•Relevant Data
•Relevant Problems
•Relevant Methods
•Relevant Data
Platform for Web-Scale
Semantic Computing
Can work in industry for
scaling and deploying
intelligent applications
Main role may be enabling
Transform
•Extract Information
•Calculate Statistics
•Transform to Logic
•Extract Information
•Calculate Statistics
•Transform to Logic
Reason
•Rule-based
•Classification
•Inconsistent reasoning
•Rule-based
•Classification
•Inconsistent reasoning
Decide
•Enough answers?
•Enough certainty?
•Enough effort/cost?
•Enough answers?
•Enough certainty?
•Enough effort/cost?
Main role may be enabling
startups to develop
semantic mash-ups on
cloud infrastructure
◦ Platform support
◦ Plug-in architecture
Large amount of research done
Beginning to result in industrial uptake
Opportunities in both consumer-facing
and business operations
Larger context
◦ Semantic/AI technologies potential power is◦ Semantic/AI technologies potential power is
enormous
◦ Could become mega-industry driving ICT
◦ (following hardware, software, web, mobile)
Asia and Semantic/AI Tech
•Japan and robotics?
•Korea and broadband/mobile?
•China and web-intelligence?
•India and human-machine
collaboration?
•South-east Asia?
Rest of the world:
•Central and South America
•Russia, “Near” &“Middle” East
•Canada and Mexico
•Australasia
•Africa
Integrating 27 Countries with Semantic Technologies

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Integrating 27 Countries with Semantic Technologies

  • 1. Michael Witbrock Cycorp Europe witbrock@cycorp.eu Michael Witbrock Cycorp, witbrock@cycorp.eu July 26nd 2010
  • 2. 23 Languages 27 Legal Systems 27 Countries Not integrated: Integrating 27 Countries Not integrated: Integrating More in the future
  • 3. Recent resurgence of scientific, technical and commercial interest in Artificial Intelligence generally Intersection of the web and Knowledge representation (Semantic Web) Semantic Technology: integrate shallow semantics ubiquitously to increase software flexibility and decrease cost
  • 5. EC ICT FP7EC ICT FP7EC ICT FP7EC ICT FP7 € 9.1 billion total http://cordis.europa.eu/fp7/ict/content-knowledge/projects_en.html (Current)
  • 6. Enormous amount of research on semantic technology Are companies Appearing?
  • 7. Data IntegrationData IntegrationData IntegrationData Integration StorageStorageStorageStorage InferenceInferenceInferenceInference
  • 8.
  • 9. EU: Enabling ◦ Corporate Web Sites ◦ Corporate Services (Business Facing) ◦ Platforms (Triple Stores, SOAs, Rule Platforms) ◦ Public Goods (like Roads, Power Grids, Farms) ◦ Little or no-M&A US: Consumer FacingUS: Consumer Facing ◦ Flashy Web Sites ◦ Individual Users (Public-facing) ◦ Applications (Search, Assistant, News) ◦ Private Goods (like Cars, Cellphones, Meals) ◦ Venture Backed, increasing M&A Source: LarKC Project Deliverable 9.3
  • 10. Increasing use of shallow semantics ◦ RDFa in Yahoo and Google, Facebook social graph, NYT, BestBuy product catalogues ◦ Easy to use vocabulary: Deeper Semantics in FutureDeeper Semantics in Future ◦ Beyond RDF: OWL, RuleML, CycML ◦ URIs with complex content ◦ By Computers for Computers But, maybe only beginning
  • 11. Source: Provisional estimate of product market potential. OVUM. Datamonitor Source: Provisional estimate of product market potential. OVUM. Datamonitor EU Value IT Project http://blog.value-it.isoco.net/ Source: Provisional estimate of product market potential. OVUM. Datamonitor
  • 12. Companies Deploying Intelligent Technology EU Value IT Project Surveys http://blog.value-it.isoco.net/ Of those, Companies Planning Semantic Technology
  • 13. Identify •Relevant Sources •Relevant Content •Relevant Context •Relevant Sources •Relevant Content •Relevant Context Select •Relevant Problems •Relevant Methods •Relevant Data •Relevant Problems •Relevant Methods •Relevant Data Platform for Web-Scale Semantic Computing Can work in industry for scaling and deploying intelligent applications Main role may be enabling Transform •Extract Information •Calculate Statistics •Transform to Logic •Extract Information •Calculate Statistics •Transform to Logic Reason •Rule-based •Classification •Inconsistent reasoning •Rule-based •Classification •Inconsistent reasoning Decide •Enough answers? •Enough certainty? •Enough effort/cost? •Enough answers? •Enough certainty? •Enough effort/cost? Main role may be enabling startups to develop semantic mash-ups on cloud infrastructure ◦ Platform support ◦ Plug-in architecture
  • 14. Large amount of research done Beginning to result in industrial uptake Opportunities in both consumer-facing and business operations Larger context ◦ Semantic/AI technologies potential power is◦ Semantic/AI technologies potential power is enormous ◦ Could become mega-industry driving ICT ◦ (following hardware, software, web, mobile)
  • 15. Asia and Semantic/AI Tech •Japan and robotics? •Korea and broadband/mobile? •China and web-intelligence? •India and human-machine collaboration? •South-east Asia? Rest of the world: •Central and South America •Russia, “Near” &“Middle” East •Canada and Mexico •Australasia •Africa