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© Copyright 2011 STI - INTERNATIONAL www.sti2.org Michael L. Brodie, Mark Greaves, Rudi Studer STI Fellows

STI Summit 2011 - Conclusion

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Page 1: STI Summit 2011 - Conclusion

© Copyright 2011 STI - INTERNATIONAL www.sti2.org

Michael L. Brodie, Mark Greaves, Rudi Studer STI Fellows

Page 2: STI Summit 2011 - Conclusion

© Copyright 2011 STI - INTERNATIONAL www.sti2.org

Michael L. Brodie, Mark Greaves, Rudi Studer STI Fellows

Page 3: STI Summit 2011 - Conclusion

www.sti2.org

7/2011 -Summit

Page 4: STI Summit 2011 - Conclusion

www.sti2.org

Problems - Solutions

•  Problem PULL

•  Solution PUSH

7/2011 -Summit

Page 5: STI Summit 2011 - Conclusion

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Tipping Points Technology Time Value Tipping Point

Databases ‘80s (RDBMSs) Data management

Beat other DBMSs

Client-Server ‘90s (servers) Cost, flexibility Beat M/F Services 20th C (economics);

90s (Biz), 00s(IT) Module-object-service

simplicity

Web 80-90s; 90s+ Universal Information access and sharing

Mosaic

Cloud 80’s; 2004+ Compression: hardware; labor

Big players savings: Amazon

Semantic Tech 50’s; 70-80’s; 90’s+ Higher order + productivity

AI Winter; now what?

Semantic Web 2001 (Sci Am); 2005 (LOD)+

Connectivity: people & machines

10 years; now what?

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Semantic Web Value & Tipping Point

•  Deliver value •  Dirty details of a specific application (domain) •  Dieter’s Examples

–  Documents –  Data –  Mobile –  Social –  Sensors –  Energy grids –  Etc.

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Big Data

•  Problem: Scale •  Solutions

–  Data-driven methods (supplant scientific method?) –  Multi-disciplinary (will the semantic web be in the mix?)

•  Data Integration Solution –  Search / discover candidates –  ETL: get candidate data elements in required form –  Entity resolution –  Computation

•  Critical / Central Challenge –  Meaningfully

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Page 8: STI Summit 2011 - Conclusion

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7/2011 -Summit

Thank you for being here!