In this paper, I describe NKRL, a language expressly designed for representing, in a standardised way, the semantic content (the "meaning") of complex narrative texts. After having introduced the four "components" (specialised sub-languages) of NKRL, I will give some examples of its practical modalities of use. I will then describe, in a very sketchy way, the inference techniques and the natura...

We describe the natural language processing and knowledge representation components of B2, a collaborative system that allows medical students to practice their decision-making skills by considering a number of medical cases that differ from each other in a controlled manner. The underlying decision-support model of B2 uses a Bayesian network that captures the results of prior clinical studies ...

This paper proposes a declarative language for knowledge representation (Ibn Rochd), and its environment of exploitation (DeGSE). This DeGSE system was designed and developed to facilitate Ibn Rochd writing applications. The system was tested on several knowledge bases by ascending complexity, culminating in a system for recognition of a plant or a tree, and advisors to purchase a car, for peda...

This article describes graphical language for the representation of textual user requirements. We need such a language in order to approach the automatic construction of graphical software engineering (SE) models (in particular UML diagrams) as a translation from one graphical language into another. In order to fulfill this goal, we have included universal notation in graphical language, which ...

Complex systems such as automotive software systems are usually broken down into subsystems that are specified and developed in isolation and afterwards integrated to provide the functionality of the desired system. This results in a large number of requirements documents for each subsystem written by different people and in different departments. Requirements engineers are challenged by compre...

Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques. However, it is a daunting problem how to capture deep semantic information effectively and support the construction of a large-scale knowledge base efficiently. This paper describes a new knowledge representation mod...

The paper presents a FrameNet-based information extraction and knowledge representation framework, called FrameNet-CNL. The framework is used on natural language documents and represents the extracted knowledge in a tailor-made Frame-ontology from which unambiguous FrameNet-CNL paraphrase text can be generated automatically in multiple languages. This approach brings together the fields of info...

In [ALP+00] we proposed a comprehensive solution to the problem of knowledge base updates. Given the original knowledge base KB and a set of update rules represented by the updating knowledge base KB′, we defined a new updated knowledge base KB∗ = KB⊕KB′ that constitutes the update of the knowledge base KB by the knowledge base KB′. In [APPP99] we introduced a fully declarative, high-level lang...

This paper describes a concept-to-speech system for generating spoken descriptions of routes between places within Macquarie University Computing Department. The Natural Language Generation (NLG) component of the system generates a textual route description marked with intonational information. The discourse structure of the route description is related closely to the knowledge representation o...

Scientific knowledge representation and reasoning presents unique challenges which the computer language community under-appreciates. We present early work on a scientific reasoning environment and knowledge base designed to simultaneously support a community of scientists, to handle scientific knowledge like floating point distributions, meta-data and meta-knowledge, and to treat explanations ...