We are on the way of defining a methodology aimed to create software tools supporting linguistic knowledge bases. One of our main concerns is to formally represent knowledge using a sound software engineering approach. In this setting, we first consider the linguistic concepts found in a multilingual dictionary, as vocabulary, meanings, semantic categories, semantic relationships, and (treeshap...

STROBE is a system that provides object-oriented programming support tools for INTERLISP. It offers a primitive foundation with which more complex structured object representation schemes can be constructed. STROBE implements multiple resident knowledge bases, tangled generalization hierarchies, flexible inheritance of properties, procedural attachment, and event-sensitive procedure invocation.

* 0-7803-7952-7/03/$17.00 © 2003 IEEE. Abstract This paper presents the Disciple-RKF methodology for rapid development of large knowledge bases which relies on importing ontological knowledge from existing knowledge repositories, on parallel development of separate knowledge bases by subject matter experts, and on the merging of these knowledge bases into a high performance integrated knowledge...

Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory information. All such formalisms are computationally demanding. Hence, optimizing argumentative systems has been approached from di®erent views. We have developed a new proposal to solve the aforementioned problem. The key to our approac...

In this paper, we describe a novel approach to the generation of reusable computer-based assets to support the production and customis ation of learning materials for user and environment constrained learning scenarios. We present a framework for learning which proposes that navigating within a space of many models overcomes limitations inherent in mono-model approaches to learning contextualis...

Interest in how victims of traumatic injuries recover is increasing and a number of observational studies have now been done. There are very few intervention studies aimed at enhancing recovery, but there will be more as our knowledge base grows. Older recipients of traumatic injuries differ from the young in the types of injuries they sustain, in the way they respond to their injuries and in t...

Probabilistic conditional logic is a knowledge representation formalism that uses probabilistic conditionals (if-then rules) to model uncertain and incomplete information. By applying the principle of maximum entropy one can reason with a set of probabilistic conditionals in an information-theoretical optimal way, provided that the set is consistent. As in other fields of knowledge representati...

We address the experiences of the DARPA High Performance Knowledge Bases (HPKB) (Cohen et al., 1998) project in practical knowledge representation. The purpose of the HPKB project was to develop new techniques for rapid development of knowledge bases. The goal of this paper is to describe several technical issues that arose in creation of practical KB content. HPKB PROJECT