Approximation for the Semantic Web
This event took place on Friday 05 May 2006 at 12:30
Dr. Holger Wache Vrije Universiteit Amsterdam
Scalable reasoning for the Semantic Web is a crucial issue. Without scalability the Semantic Web will not be able to reason about the high and growing amount of data with respect to time performance and tolerant reasoning. Approximate reasoning seems to be a promising approach to introduce scalability to the Semantic Web.
Different forms of approximated reasoning are possible. First the reasoning process itself can be approximated by replacing the inference engine by a sophisticated approximated one. Second the knowledge, i.e. the ontology, can be weakened or, third, translated into another representation formalism. Obviously during both transformations knowledge is lost.
This talk reports about the investigation and experiences made in KNOWLEDGEWEB, an EU-funded network of excellence. The logical foundation of some approaches is briefly explained but also their practical consequences for scalable reasoning will be investigated.
Download Presentation Slides.
This event took place on Friday 05 May 2006 at 12:30
Scalable reasoning for the Semantic Web is a crucial issue. Without scalability the Semantic Web will not be able to reason about the high and growing amount of data with respect to time performance and tolerant reasoning. Approximate reasoning seems to be a promising approach to introduce scalability to the Semantic Web.
Different forms of approximated reasoning are possible. First the reasoning process itself can be approximated by replacing the inference engine by a sophisticated approximated one. Second the knowledge, i.e. the ontology, can be weakened or, third, translated into another representation formalism. Obviously during both transformations knowledge is lost.
This talk reports about the investigation and experiences made in KNOWLEDGEWEB, an EU-funded network of excellence. The logical foundation of some approaches is briefly explained but also their practical consequences for scalable reasoning will be investigated.
Download Presentation Slides.
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Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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