Twine: The Social Graph Meets the Semantic Web

Lew Tucker (Sun Microsystems, Inc.)
Keynote
Location: Marina Ballroom D

With the explosive growth in social networks do we know more or are we just more connected? What would happen if the “social graph” was made part of a much richer semantic network of people, information, typed-objects, and relations? Could you then tap into what your friends know and easily connect with others to learn about and pursue new interests?

We’ll discuss and demo an innovative new service: Twine.com, built on a semantic web platform and designed to grow and enrich communities of interest. Users of Twine.com create, collect, and share information such that all users benefit from a growing network of knowledge. Semantics are used throughout as the system automatically annotates information with meta data, tags, and relationships.

Finally, through the release of a public API, Twine.com will be opened up to other developers and publishers furthering the development and linking together of new applications and services based on the semantic web.

Photo of Lew Tucker

Lew Tucker

Sun Microsystems, Inc.

Lew Tucker is Vice President and CTO of Cloud Computing at Sun Microsystems, Inc. His focus today is on the evolution of computing as it moves into the cloud, but his contributions span several waves of technology innovation over the last twenty years. Prior to re-joining Sun Microsystems, he was a Vice President at Salesforce.com where he created the AppExchange, advancing the company’s strategy to become the leading SaaS platform for business applications. He went on to be CTO at Radar Networks, an innovative semantic-web based Internet service for tracking interests. During his previous tenure at Sun Microsystems, Tucker was an early member of the JavaSoft executive team at Sun driving developer adoption of the Java platform, and later became Vice President, Internet Services, with overall responsibility for Sun’s Internet sites and services.
Tucker’s interest in distributed computing started in the mid 80’s as a research scientist and Director of advanced development at Thinking Machines, working on machine vision and system architecture to create the massively parallel Connection Machine. He holds a Ph.D. in Computer Science and has a background in Artificial Intelligence, Neurobiology, and large-scale parallel algorithms.

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