Computerized drug prescribing alerts can improve patient safety, but are often overridden because of poor specificity and alert overload. We developed a selective knowledge base of only clinically significant drug alerts and designated only critical-high severity alerts to be interruptive to clinician workflow (a tiered approach). Using this approach, we were able to achieve a 67% clinician acc...

This paper presents a methodology for testing general non-monotonic knowledge bases for logical and semantic inconsistencies. It extends the CTMS-based verification framework introduced in our previous work with an additional integrity test. This test aims to ensure that a logically consistent non-monotonic knowledge base is also free of semantic inconsistencies, resulted from violated integrit...

DIAMED is a system to assist the physicians in the diagnostic process. It uses probabilistic networks as knowledge representation. By applying Bayesian methods it takes into account uncertainties of the facts in the resolution of clinical cases. The proposed model re-uses knowledge contained in an existing knowledge base (ADM) and orders them according to a semiological andpathological diagram.

This paper contains the consideration of knowledge extraction mechanisms of such object-oriented knowledge representation models as frames, object-oriented programming and object-oriented dynamic networks. In addition, conception of universal exploiters within object-oriented dynamic networks is also discussed. The main result of the paper is introduction of new exploitersbased knowledge extrac...

Existing methods for dealing with knowledge updates differ greatly depending on the underlying knowledge representation formalism. When Classical Logic is used, update operators are typically based on manipulating the knowledge base on the model-theoretic level. On the opposite side of the spectrum stand the semantics for updating Answer-Set Programs where most approaches need to rely on rule s...

Concern for environmental issues has become a reality in all sectors of society, mainly among researchers and professionals who work directly with environmental status. In this context, several studies have been undertaken on sustainable development of the Brazilian Amazon, generating a large amount of data and information. Environmental area characterization involves the knowledge about their ...

Knowledge bases are encountered in different AI areas such as configuration, planning, diagnosis, semantic web, game playing, and others. Very often the amount and arrangement of the elements in the knowledge base outstrips the capability of a knowledge engineer to survey them and to efficiently perform maintenance operations – a situation that triggers an enormous demand of extending and impro...

This paper describes the development of a Crop Knowledge Base System for use in crop modelling and yield forecasting. The inherent limitations of databases can cause problems for dealing effectively with geo-referenced data sets. The system described here includes all the normal database operations but also handles richer types of data. Values of queried attributes can be deduced through the us...

An important characteristic for many formulations of knowledge representation and reasoning is that they are nonmonotonic. It has been, however, illustrated that under certain conditions, a formulation may satisfy some restricted monotonicity in its reasoning 2]. In this paper, we investigate this issue under the context of rule based update. We rst present a general framework of rule based upd...