How to Combine Web2.0 and the Semantic Web
This event took place on Monday 23 April 2007 at 14:00
Tom Heath KMi, The Open University
It is not uncommon to view Web2.0 and the Semantic Web as mutually exclusive, competing paths to the Web of the future, each advocated by a distinct community. We argue that the two approaches are in fact complementary, and that both face challenges the other can solve, such as how to integrate Web2.0 data on a Web scale, and how to enable users to create semantically rich annotations. Here we will use examples from Revyu.com to demonstrate how features of Web2.0 and the Semantic Web can be combined in a single service that overcomes these challenges. Revyu is a Web site where people can review and rate anything they choose. The site is built on Semantic Web technologies, but also uses common features of Web2.0, such as keyword tagging.
This event took place on Monday 23 April 2007 at 14:00
It is not uncommon to view Web2.0 and the Semantic Web as mutually exclusive, competing paths to the Web of the future, each advocated by a distinct community. We argue that the two approaches are in fact complementary, and that both face challenges the other can solve, such as how to integrate Web2.0 data on a Web scale, and how to enable users to create semantically rich annotations. Here we will use examples from Revyu.com to demonstrate how features of Web2.0 and the Semantic Web can be combined in a single service that overcomes these challenges. Revyu is a Web site where people can review and rate anything they choose. The site is built on Semantic Web technologies, but also uses common features of Web2.0, such as keyword tagging.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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