Enriching test oracles with a test expert’s mental model of error prone aspects of software, and granting control to them to specify custom coverage criteria and arbitrary test cases, can potentially improve the quality of automatically generated test suites. This paper reports our investigation on the application of knowledge engineering techniques in automated software testing to increase the...

This paper examines the links between the rhythm of knowledge generation, the types of actors involved in knowledge generation and the structure of networks of collaborations in the biotech sector. The analysis departs from all biotechnology patent applications covered by Derwent Biotechnology Abstracts (DBA). In 2001, more than 96,000 patents are reported in DBA, covering 40 intellectual prope...

This paper presents an approach for knowledge-based multimedia presentation generation. The basic idea is the separation of information to be presented, presentation and the context in which presentation generation takes place. The context takes into consideration a wide set of influencing factors. Methods for the basic steps of intelligent multimedia presentation generation (content selection,...

The paper discusses methodological achievements which have been incorporated into second generation expert systems. The key ideas are (1) to incorporate more principled knowledge about the domain into a knowledge based system and to reason from these ((rst) principles, (2) to deene the conceptual model explicitly, and (3) to do some abstraction. Abstraction is done on three levels: the factual ...

We detail the design, development and evaluation of Augmentative and Alternative Communication (AAC) software which encourages rapid conversational interaction. The system uses Natural Language Generation (NLG) technology to automatically generate conversational utterances from a domain knowledge base modelled from content suggested by a small AAC user group. Findings from this work are present...

Purpose – Today, a second generation of computer-based innovation tools employs knowledge systems technology to automate and support key intellectual activities required for effective process design. But a central question remains as to the effectiveness of innovation through such knowledge systems. The research described in this paper is focused on testing the effectiveness of knowledge-based ...

In this paper we propose a new shared task, KBGen, where the aim is to produce coherent descriptions of concepts and relationships in a frame-based knowledge base (KB). We propose to use the AURA knowledge base for the shared task which contains information about biological entities and processes, and provides an application context for NLG in the form of an electronic textbook. We argue that t...

A number of tools that support the development, execution, and maintenance of knowledge-based systems are marketed commercially Many of these tools, however, are designed for applications that can be executed on personal computers and are not suitable for building large knowledge-based systems The market for knowledge engineering tools designed for applications that require the computational po...

Using revision to produce extended natural language text through a series of drafts provides three significant advantages over a traditional natural language generation system. First, it reduces complexity through task decomposition. Second, it promotes text polishing techniques that benefit from the ability to examine generated text in the context of the underlying knowledge from which it was ...