KMi Seminars
IRS support for OWL-S and WSMO
This event took place on Monday 21 June 2004 at 12:30

Dr Farshad Hakimpour KMi, The Open University

There is a great deal of work on developing ontologies (such as OWL-S and WSMO) for describing semantics of Web Services. IRS is one of the few existing systems (if not the only one) to support the Semantic Web Services technologies. I will show how the underlying model of IRS (i.e. Task-PSM ontology) could support parts of OWL-S, as well as how we modified and extended the task-PSM ontology to be able to support features of OWL-S. I will also present further capability the Task-PSM ontology provides, in comparison to OWL-S. I will briefly describe the status of the current work for supporting WSMO.

Download PowerPoint Presentation (614 KB ZIP file)

 
KMi Seminars 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.

Visit the MMIS website