What are Spatial Objects?
This event took place on Wednesday 04 October 2006 at 11:30
Vlad Tanasescu KMi, The Open University
Does 80% of all data have a spatial component? What is spatiality anyway? Real geographic modelling is often not as sweet (DOLCE) as it should be. Mashups are taking over the world; why do we love them so much? And why are they so boring? We try to answer these questions by formulating what a spatial object is relatively to a given context. Further interrogations include: affordances, why do we need them? is multi-representation useful and sound? who will win the semantic web challenge? By integrating this model with Semantic Web Services, supported by IRS-III as an execution platform, and OCML ontologies as a knowledge model, we try to answer those and believe that the availability and usefulness of spatially related data can be radically improved.
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This event took place on Wednesday 04 October 2006 at 11:30
Does 80% of all data have a spatial component? What is spatiality anyway? Real geographic modelling is often not as sweet (DOLCE) as it should be. Mashups are taking over the world; why do we love them so much? And why are they so boring? We try to answer these questions by formulating what a spatial object is relatively to a given context. Further interrogations include: affordances, why do we need them? is multi-representation useful and sound? who will win the semantic web challenge? By integrating this model with Semantic Web Services, supported by IRS-III as an execution platform, and OCML ontologies as a knowledge model, we try to answer those and believe that the availability and usefulness of spatially related data can be radically improved.
Download PowerPoint presentation (15Mb ZIP file)
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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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