Tech Reports
Tech Report kmi-09-06 Abstract
On the Integration of Services with the Web of Data
Techreport ID: kmi-09-06
Date: 2009
Author(s): Carlos Pedrinaci,John Domingue,Reto Krummenacher
Research on Semantic Web Services has pursued the automation of tasks on the Web by enriching Web services technologies with semantics. Thus far, however, Semantic Web Services have failed to gain a significant uptake due to a big extent to the complexity of the solutions proposed and the limited amount of high quality data and ontologies that were available until recently. In this report we explore the relationship between Semantic Web Services and the Web of Data. We identify the potential benefits that could be obtained by adequately integrating these so far disconnected worlds. We present a vision outlining how this integration could take place by using simpler vocabularies for describing services, through the adoption of linked data principles for publishing services on the Web, and by reusing principles originating research on Knowledge Based Systems and Knowledge Engineering such as the Blackboard model and Problem-Solving Methods. The vision presented herein represents at the same time the outline of a research roadmap we are pursuing and we shall, where appropriate, illustrate some of these ideas through concrete examples and prototypes we have already developed.
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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