Multimedia, eScience and the Semantic Web
This event took place on Wednesday 30 July 2008 at 11:00
Suzanne Little
This talk will act as an introduction and provide an overview of my thesis research (titled "A Semantic Framework for the Management, Analysis and Assimilation of Mixed-Media Scientific Data") and (briefly) the work conducted over the past 18 months as a postdoc with the EU Network of Excellence, MUSCLE (Multimedia Understanding through Semantics, Computation and LEarning). This includes the use of semantic web technologies (XML, RDF, ontologies, inferencing rules etc.) to support scientific research through:
*the capture and management of provenance data,
*using semantic inferencing rules and ontologies to annotate regions in images and
*interacting with collections of scientific multimedia.
Finally, I will discuss some of the work I hope to undertake at KMi through the PHAROS project.
This event took place on Wednesday 30 July 2008 at 11:00
Suzanne Little
This talk will act as an introduction and provide an overview of my thesis research (titled "A Semantic Framework for the Management, Analysis and Assimilation of Mixed-Media Scientific Data") and (briefly) the work conducted over the past 18 months as a postdoc with the EU Network of Excellence, MUSCLE (Multimedia Understanding through Semantics, Computation and LEarning). This includes the use of semantic web technologies (XML, RDF, ontologies, inferencing rules etc.) to support scientific research through:
*the capture and management of provenance data,
*using semantic inferencing rules and ontologies to annotate regions in images and
*interacting with collections of scientific multimedia.
Finally, I will discuss some of the work I hope to undertake at KMi through the PHAROS project.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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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