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Reengineering for Knowledge in Knowledge Based Systems

2006
This paper presents an approach to reengineering knowledge-based systems. Commonly, reengineering is used to modify systems that have functioned for many years, but are no longer able to accomplish the tasks required, and therefore need to be updated. Reengineering can also be used to modify and extend the knowledge contained in these systems.
Anne Håkansson, Ronald L. Hartung
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Knowledge-based system requirements

Knowledge-Based Systems, 1993
There is a growing demand both for greater 'ease of use' and 'support in use' as existing software packages are employed for more complex tasks. End users are faced with both the intricacies of the existing software, and the increasing complexity of the application-problem domains. As a result, there are important implications for the design of support
Rachel M. Jones   +2 more
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Knowledge-based System for Urinalysis

Proceedings of the 16th International Conference on Enterprise Information Systems, 2014
Urinalysis is a very important test of laboratory medicine, providing valuable information about metabolic, kidney, and urinary tract. For several reasons, including lacking of professional qualification, it does not receive the proper attention, what prevents it to achieve its whole power.
Fabrício Henrique Rodrigues   +3 more
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Knowledge base views in multiuser knowledge based systems

Proceedings. Fourth International Conference on Data Engineering, 2003
The author presents a methodology for representing knowledge in a collection of interlinked, largely autonomous knowledge base views, to facilitate multiple heterogeneous use of a KBS (knowledge based system). The knowledge base views are defined so that while knowledge outside each user's view is transparent to him/her, problem solving can be achieved
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Knowledge-based systems for genetics

International Journal of Man-Machine Studies, 1985
This article describes knowledge-based systems for genetics called GENETICS-I, II, and III, and their possible extensions. GENETICS-I works on a simple genetic model where a phenotype is determined by a gene-pair, each gene having a value of 0 or 1 (diallelism). In GENETICS-II, which is a generalization of GENETICS-I, each gene can have a value of 0, 1,
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On Knowledge-Based System Architectures

1986
This chapter investigates architectural issues of Knowledge-Base Management Systems (KBMSs) that might result from the integration of Knowledge-Base (KB) systems and Database Management Systems (DBMS) technology. A hypothetical KBMS architecture is presented that assumes the decomposition and current KB systems and DBMSs into components that may ...
Frank Manola, Michael L. Brodie
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Knowledge-Based Systems

2009
The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived ...
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DEVELOPING A KNOWLEDGE BASED SYSTEM

1990
This paper presents the fulfillment of a knowledge based system to assist the molecular biologist with experimental design* and emphasizes certain aspects of the methodological approach for knowledge modeling. Knowledge modeling serves to formalize, away from any implementation tool, an expertise given in natural language.
Bernard Migault   +2 more
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Satisficing in knowledge-based systems

Data & Knowledge Engineering, 1990
Abstract A satisficing knowledge-based system reaches a satisfactory resolution as quickly as possible. A satisfactory resolution is one that reaches an answer that may not be optimal, but is satisfactory or heuristically “close enough”. This work focuses on the principles that can be used to support a methodology that will produce satisficing ...
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