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Tech Report kmi-93-01 Abstract


VITAL Bug Location Methodology
Techreport ID: kmi-93-01
Date: 1993
Author(s): John Domingue
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Knowledge Engineers (KEs) will use the VITAL workbench to develop large Knowledge Bases. During the course of the development of a KB bugs will be produced. The task of locating bugs within large software modules has long been acknowledged as a difficult and time consuming chore. This has been alleviated, in the VITAL tradition, by providing methodologically based software support, which we call the VITAL Bug Location Methodology.

Publication(s):

Vital Project Report OU/DD231/D1.0
 
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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