KMi Seminars
ConcepTool: ontology representation and reasoning beyond frames and slots
This event took place on Wednesday 31 March 2004 at 13:00

 
Dr Ernest Compatangelo Department of Computing Science, University of Aberdeen

Ontologies can be better (re)used if represented as conceptual models in a reasoning environment where they can be semantically analysed.

The ConcepTool inferential ontology management system has been developed as a representation and reasoning environment that explicitly supports the modelling and the reuse of declarative knowledge. ConcepTool represents ontologies using different conceptual categories of frames, providing a range of specialised deductive services for each category.

This talk will first outline the core knowledge modelling and analysis functionalities of ConcepTool, comparing them to the ones currently available in ontology management systems with automated reasoning capabilities.

The talk will then focus on a range of current and envisaged extensions and applications of ConcepTool, such as ontology mapping, versioning, and reuse.

Visit hosted by Dr Maria Vargas-Vera


Download PDF of Presentation (512kb 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.

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