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Integrating Semantic and Social Web for Enhanced Information Aggregation

This lecture explores the concept of the Semantic Web and its extension to the Social Web, highlighting the importance of well-defined meaning in information and the collaboration between computers and people. It also discusses the principles of Web 2.0 and how it harnesses collective intelligence. The lecture delves into the creation and aggregation of information, the role of ontology in structuring data, and the challenges and solutions in integrating user-generated content with structured data. Ultimately, it explores the integration of the Semantic Web and Social Web for a more enhanced and valuable web experience.

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Integrating Semantic and Social Web for Enhanced Information Aggregation

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  1. ece 627intelligent web: ontology and beyond lecture 19: semantic web – social web

  2. Semantic Web “The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” Tim Berners-Lee, 2001

  3. Web 2.0 "The central principle behind the success of the giants born in the Web 1.0 era who have survived to lead the Web 2.0 era appears to be this, that they have embraced the power of the web to harness collective intelligence" Tim O’Reilly, 2006 “Web 2.0 Is Much More About A Change In People and Society Than Technology” Dion Hinchcliffe

  4. Web 2.0 http://blogs.voices.com/thebiz/2006/09/web_20_definition.html

  5. Tim Berners-Lee, 2006 “The Web isn’t about what you can do with computers. It’s people and, yes, they are connected by computers. But computer science, as the study of what happens in a computer, doesn’t tell you about what happens on the Web.”

  6. “collective intelligence” collaborative bookmarking, searching clicking, rating, tagging, buying blogs, wikis, discussion lists

  7. “collective knowledge” information delivered by people: via participation and contributions improves with … people participation structured, un-structured data, any data …

  8. semantic net • information creation (user-driven by providing …) • information aggregation (user-driven by demanding, searching …)

  9. ontologyinformation creation centralized, hierarchical categorization … … but it enables cross-application aggregation and value-added services

  10. ontology for tag datainformation creation enables utilization of tag data across multiple systems for: • tag search • collaborative filtering • query with tags

  11. information aggregationissues how to integrate users’ contributions of unstructured content with structured data? how to create value form the web content?

  12. information aggregationsolutions? combining hierarchical information (ontology) with spontaneous contributions (tags) site independent activities (spanning across multiple sites) integration-based search semantic web + social web

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