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Tech Report kmi-94-01 Abstract


Froglet: A Source Level Stepper for Lisp
Techreport ID: kmi-94-01
Date: 1994
Author(s): Stuart Watt
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Froglet is a source-level stepper for Common Lisp. Unlike previous steppers, which used pretty-printed reconstructions of definitions to show the progress of execution, Froglet uses the text from which the definition was read. This means that forms can be shown under evaluation in the right context, complete with comments and related functions. It also provides views onto the stack and onto the lexical environment of the form currently being evaluated. This paper describes the background to Froglet and how it is related to steppers for conventional languages, gives an overview of its implementation and interface, and shows that it could form a key addition to Lisp environments.
 
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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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