We examine a knowledge representation architecture to support context interchange
mediation. For autonomous receivers and sources sharing a common subject domain,
the mediator's reasoning engine can devise query plans integrating multiple sources and
resolving semantic heterogeneity. Receiver…

A transmitter antenna array has the ability to direct data simultaneously to multiple
receivers within a wireless network, creating potential for a more integrated view of
algorithmic system components. In this thesis, such a perspective informs the design
of two…

This paper presents a knowledge-based approach for capturing data and rationale, so
that the experience and insights gained while pursuing a major project or endeavor can
be utilized when pursuing future endeavors of a similar nature. The proposed

This case study discusses ethical obligations regarding the extent and scope of knowledge dissemination and restitution strategies in the context of global health research., Cette étude de cas porte sur les obligations éthiques concernant l’étendue et la portée des stratégies…

The computational metaphor which proposes the comparison of processes of mind to realizable or imaginable computer activities suggests a number of educational concerns. This paper discusses some of those concerns including procedural modes of knowledge representation and control knowledge ??owing…

This paper deals with the "Calculus of Knowledge", an extension of the propositional calculus in which one may reason about what other people know. Semantic and Syntactic systems are developed, certain theorems are proven, and a formal solution in the…

In the present paper I describe the conceptual level of representation of a database, currently in development, which aims at fulfilling the Functional-Lexematic model. I will concentrate on the semantic component, as it is central for the theory of Functional…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowledge from an annotated corpus and this knowledge is represented in the form of…

by Nina Kruschwitz and George Roth., "March 1999.", Includes bibliographical references.