Franz J. Kurfess

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This paper proposes the design and implementation of a context-based free text interpreter (CFTI), a computer-based natural language understanding (NLU) system that can handle text as generated and used by humans, within a given context. It takes advantage of tracking the contextual meaning of words and phrases during (and after) the development of an(More)
In this paper, the memory capacity of incompletely connected associative memories is investigated. First, the capacity is derived for memories with fixed parameters. Optimization of the parameters yields a maximum capacity between 0.53 and 0.69 for hetero-association and half of it for autoassociation improving previously reported results. The maximum(More)
As more and more knowledge and information becomes available through computers, a critical capability of systems supporting knowledge management is the classification of documents into categories that are meaningful to the user. In a step beyond the use of keywords, we developed a system that analyzes the sentences contained in unstructured or(More)
This paper describes a platform-independent application for the monitoring of distributed applications. The tool is intended for system administrators to properly distribute the components of a distributed application onto particular machines. An essential part of this tool is based on intelligent mobile agent technology used to access the target systems.(More)
As the second part of a special issue on “Neural Networks and Structured Knowledge,” the contributions collected here concentrate on the extraction of knowledge, particularly in the form of rules, from neural networks, and on applications relying on the representation and processing of structured knowledge by neural networks. The transformation of the(More)
This collection of articles is the first of two parts of a special issue on “Neural Networks and Structured Knowledge.” The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models for mapping discrete structures like graphs or logical formulae onto(More)