Information Services and Use
The benefit of additional semantics in folksonomy systems
Proceedings of the 2nd PhD workshop on Information and knowledge management
e-Social Science and Evidence-Based Policy Assessment
Social Science Computer Review
An Approach to Legal Rules Modelling and Automatic Learning
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
A digital ecosystem to support children with cerebral palsy
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
User assistance for collaborative knowledge construction
Proceedings of the 21st international conference companion on World Wide Web
Perspectives in semantic adaptive social web
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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The Semantic Web is an ecosystem of interaction among computer systems. The social web is an ecosystem of conversation among people. Both are enabled by conventions for layered services and data exchange. Both are driven by human-generated content and made scalable by machine-readable data. Yet there is a popular misconception that the two worlds are alternative, opposing ideologies about how the web ought to be. Folksonomy vs. ontology. Practical vs. formalistic. Humans vs. machines. This is nonsense, and it is time to embrace a unified view. I subscribe to the vision of the Semantic Web as a substrate for collective intelligence. The best shot we have of collective intelligence in our lifetimes is large, distributed human-computer systems. The best way to get there is to harness the ”people power” of the Web with the techniques of the Semantic Web. In this presentation I will show several ways that this can be, and is, happening.