KMi Publications

External Publications

7 publications | Joe Corneli


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Corneli, J. and Mikroyannidis, A. (2012) Crowdsourcing Education on the Web: A Role-based Analysis of Online Learning Communities, in eds. Okada, A. Connolly, T. Scott, P.J., Collaborative Learning 2.0: Open Educational Resources, pp. 272-286, IGI Global

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Corneli, J., Jucovschi, C. and Mikroyannidis, A. (2011) PlanetMath Redux: Web 2.0 infrastructure for mathematical problem solving, Workshop: Technology-Enhanced Learning for Mathematics and Science (TELMAS) at 6th European Conference on Technology-Enhanced Learning (ECTEL): Towards Ubiquitous Learning, Palermo, Italy

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Corneli, J. and Mikroyannidis, A. (2011) Personalised Peer-Supported Learning: The Peer-to-Peer Learning Environment (P2PLE), The PLE Conference 2011, Southampton, UK

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Corneli, J. and Mikroyannidis, A. (2011) Personalised and Peer-Supported Learning: The Peer-to-Peer Learning Environment (P2PLE), Digital Education Review, 20, pp. 14-23

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David, C., Ginev, D., Kohlhase, M. and Corneli, J. (2010) eMath 3.0: Building Blocks for a social and semantic Web for online mathematics & ELearning, 1st International Workshop on Mathematics and ICT: Education, Research and Applications, Bucharest, Romania, eds. Ion Mierlus-Mazilu

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Corneli, J. and Mikroyannidis, A. (2010) Live Annotation and Content Discovery in Personal Learning Environments, Workshop: 3rd Workshop on Mashup Personal Learning Environments at 5th European Conference on Technology-Enhanced Learning (ECTEL'10): Sustaining TEL, Barcelona, Spain, 638, CEUR Workshop Proceedings

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Corneli, J. (2010) Gravpad, Demo at WikiSym 2010, Gdańsk, Poland Proceedings of the 6th International Symposium on Wikis and Open Collaboration, ACM

 
 
 

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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