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Tech Report kmi-95-08 Abstract


Software Visualization Based KBS validation
Techreport ID: kmi-95-08
Date: 1995
Author(s): John Domingue
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The validation of a Knowledge Based System (KBS) involves comparisons between an external reference model and a system's component parts. In this paper I describe how such comparisons can be aided by the application of software visualization technology. Software visualization is the use of filmcraft, cartoon animation and graphic design techniques to display data structures, programs, and algorithms. The described approach eases the task of mapping between the comparates by the use of dynamic code, problem solving architecture, and domain oriented visualizations of KBS execution.

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To be presented at: EUROVAV-95 European Symposium on Validation and Verification of Knowledge-based Systems 26-27-28 June 1995 St Baldoph-Chambery, France
 
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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