The Semantic Web: Commercial Prospects and Legal Challanges

The Semantic Web: Commercial Prospects and Legal Challenges Philip Nolan Partner and Head of Commercial Department, Mason Hayes+Curran 25th November 2009

Overview The Semantic Web at a glance Legal Challenges Case Studies

Semantic Web at a Glance (1) “Smart” data versus “Dumb” data Machine-readable metadata A web of data Existing web technologies inefficient at extracting meaningful information From the desktop into the network

Semantic Web at a Glance (2) – The Semantic Web Stack Commercial realisation Initial Investment

Semantic Web at a Glance (3) - Industries Life sciences Health care Public administration Internet search engines Electronic communications Broadcasting Online social networking (FOAF)

Semantic Web at a Glance (4) - Corporate Users BT Oracle New York Times Boeing BBC Yahoo!

Case Study 1: Clinical research and Drug Discovery

Case Study 2: Proprietary Ontologies

Case Study 3: Digital Rights Management and Media

Legal Challenges (1): Inferences Context and Defamation Defamation Inferences Context Publisher Disclaimers

Legal Challenges (2): Data Protection in the Web of Data Background Universal consent Analogy with cookies Consent as agent Inferred Personal Data

Legal Challenges (3): Friend of a Friend (FOAF) Background Conventional social networking Requirement for regulation of access Usage rights Restriction of information

Conclusions

A simple illustration of the Semantic Web!

Questions

The Semantic Web: Commercial Prospects and Legal Challenges Philip Nolan (Partner and Head of Commercial Department, Mason Hayes+Curran) 25th November 2009 Notice: This presentation is of a general nature and does not constitute legal advice. Specific advice should always be sought from your advisors. © Copyright Philip Nolan, Mason Hayes+Curran November 2009. All rights reserved.

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The Semantic Web: Commercial Prospects and Legal Challanges

by Mason Hayes and Curran on Nov 26, 2009

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The Semantic Web: Commercial Prospects and Legal Challanges — Presentation Transcript