The Intelligent Documentation Advisory System:

Abstract: "The IDAS project is a collaborative project investigating the design and development of an Intelligent Documentation Advisory System (IDAS). Our aim is to develop intelligent online technical documentation, presented via hypertext and natural language generation and constructed dynam...

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Bibliographische Detailangaben
Format: Buch
Sprache:English
Veröffentlicht: Edinburgh 1990
Schriftenreihe:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 492
Schlagworte:
Zusammenfassung:Abstract: "The IDAS project is a collaborative project investigating the design and development of an Intelligent Documentation Advisory System (IDAS). Our aim is to develop intelligent online technical documentation, presented via hypertext and natural language generation and constructed dynamically by expert systems technology using object-oriented techniques. The IDAS being designed is targetted at users of an Automatic Test Equipment (ATE) system and aims to replace part of the current paper- based documentation. The IDAS will represent the ATE using a qualitative model built with the needs of natural language generation in mind and implemented in an object-oriented framework
It will then present material to the user via a hypertext interface, but where the contents and connectivity of the hypertext nodes are partially determined dynamically according to the system's knowledge of the users and their goals. In this way, it is hoped to improve on standard hypertext systems, where there is no sensitivity to the user and there can be significant "navigation problems". Techniques of natural language generation will be used to make the text in the hypertext nodes sensitive to the context of the original documentation query. At present we are progressing towards a prototype implementation using the expert system shell Egeria
This paper describes the prototype system architecture, together with the plan for implementation. The collaborators in the IDAS project are Racal Research Ltd, Racal Automation Ltd, Edinburgh University and Expertech Ltd, with funding from the UK SERC and the Department of Trade and Industry.
Beschreibung:8 S.

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