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
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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