External Publications

6 publications | cashew

Publications | Visit External Site for Details

Norton, B., Pedrinaci, C., Henocque, L. and Kleiner, M. (2008) 3-Level Behavioural Models for Semantic Web Services, International Transactions on Systems Science and Applications, 4, 4, pp. 340-355

Norton, B. and Pedrinaci, C. (2006) 3-Level Service Composition and Cashew: A Model for Orchestration and Choreography in Semantic Web Services, Workshop: 2nd International Workshop on Agents, Web Services and Ontologies Merging (AWeSOMe'06) at OnTheMove Federated Conferences (OTM'06), Montpelier, FR

Norton, B. (2005) Experiences with OWL-S, Directions for Service Composition: The Cashew Position, Workshop: OWL: Experiences and Directions, Galway, Ireland

Norton, B., Foster, S. and Hughes, A. (2005) A Compositional Operational Semantics for OWL-S, Workshop: 2nd International Workshop on Web Services and Formal Methods (WS-FM 2005), Versailles, France Formal Techniques for Computer Systems and Business Processes, eds. Mario Bravetti, Leila Kloul, Gianluigi Zavattaro, LNCS 3670, pp. 303-317, Springer

Norton, B. (2005) Behavioural Types for Synchronous Software Composition, Workshop: Workshop on Foundation of Interface Technologies (FIT 2005), San Francisco, US

Norton, B., Luttgen, G. and Mendler, M. (2003) A Compositional Semantic Theory for Synchronous Component-Based Design, 14th International Conference on Concurrency Theory (CONCUR'03), Marseilles, France CONCUR 2003 - Concurrency Theory, eds. Roberto Amadio, Denis Lugiez, LNCS 2761, pp. 461-476, Springer

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Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web

Journal | 25 years of knowledge acquisition

Future Internet

Knowledge
Management Multimedia &
Information Systems Narrative
Hypermedia New Media Systems Semantic Web &
Knowledge Services

Multimedia and Information Systems is...

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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