KMi Publications

Tech Reports

Tech Reports 2009


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
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Open Services on the Web
Techreport ID: kmi-09-05
Date: 2009
Author(s): Maria Maleshkova
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Modelling Scholarly Debate: Conceptual Foundations for Knowledge Domain Analysis Technology
Techreport ID: kmi-09-04
Date: 2009
Author(s): Neil Benn
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Multi-Perspective Annotation of Digital Stories for Professional Knowledge Sharing within Health Care: Appendices
Techreport ID: kmi-09-03
Date: 2009
Author(s): Joanna Kwiat
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Multi-Perspective Annotation of Digital Stories for Professional Knowledge Sharing within Health Care
Techreport ID: kmi-09-02
Date: 2009
Author(s): Joanna Kwiat
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Concept learning - investigating the possibilities for a human-machine dialogue
Techreport ID: kmi-09-01
Date: 2009
Author(s): Gabriela Pavel, Zdenek Zdrahal, Paul Mulholland
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KMi Publications Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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