Improved quality of interference in multilevel secure knowledge-based systems

The outlook for pharmacy-related services foretells more involvement of both computers and information systems. Expert therapeutic systems and databases will enable pharmacists to expand their consultation potential through networks and improve the quality of healthcare that they provide. Therapeutic information management could be the largest pharmacy speciality of the future. As knowledge-based systems and networks become commonplace, there will be an increasing need for new components, system monitoring, and quality assurance. This is an opportunity for pharmacy to bring medical computing, as it relates to therapeutics, into the mainstream of the profession as a new discipline.

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Knowledge-Based Systems: Enhancing the Quality of Care

Yearbook of Medical Informatics ◽

10.1055/s-0038-1638165 ◽

2003 ◽

Vol 12 (01) ◽

pp. 541-544

Author(s):

Y. Shahar

Keyword(s):

Quality Of Care ◽

Knowledge Based Systems ◽

Knowledge Based

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Integrating knowledge-based systems and artificial neural networks for engineering

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060400002055 ◽

1995 ◽

Vol 9 (1) ◽

pp. 13-22 ◽

Cited By ~ 7

Author(s):

Nabil Kartam ◽

Ian Flood ◽

Tanit Tongthong

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Generalized Solution ◽

Knowledge Based Systems ◽

Knowledge Based ◽

Engineering Problems ◽

Scope Of Application ◽

Artificial Neural ◽

The Individual

AbstractThe feasibility and relative merits of integrating knowledge-based systems (KBSs) and artificial neural networks (ANNs) for application to engineering problems are presented and evaluated. The strength of KBSs lies in their ability to represent human judgment and solve problems by providing explanations from and reasoning with heuristic knowledge. ANNs demonstrate problem solving characteristics not inherent in KBSs, including an ability to learn from example, develop a generalized solution applicable to a range of examples of the problem, and process information extremely rapidly. In this respect, KBSs and ANNs are complementary, rather than alternatives, and may be integrated into a system that exploits the advantages of both technologies. The scope of application and quality of solutions produced by such a hybrid extend beyond the boundaries of the individual technologies. This paper identifies and describes how KBSs and ANNs can be integrated, and provides an evaluation of the advantages that will accrue in engineering applications.

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Evaluating performance and quality of knowledge-based systems: foundation and methodology

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/69.219731 ◽

1993 ◽

Vol 5 (2) ◽

pp. 204-224 ◽

Cited By ~ 31

Author(s):

G. Guida ◽

G. Mauri

Keyword(s):

Knowledge Based Systems ◽

Knowledge Based

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ECAI-96 workshop on validation, verification and refinement of KBS: A short report

The Knowledge Engineering Review ◽

10.1017/s0269888997000052 ◽

1997 ◽

Vol 12 (01) ◽

pp. 95-98 ◽

Cited By ~ 1

Author(s):

MARIE-CHRISTINE ROUSSET ◽

SUSAN CRAW

Keyword(s):

Software Engineering ◽

Real World ◽

Short Report ◽

Knowledge Based Systems ◽

Critical Factors ◽

Knowledge Based ◽

Real World Applications

Ensuring reliability and enhancing quality of Knowledge Based Systems (KBS) are critical factors for their successful deployment in real-world applications. This is a broad task involving both methodological and formal approaches for designing rigorous Validation, Verification and Testing (VVT) methods and tools. Some of these can be adapted from conventional software engineering, while others rely on specific aspects of KBS.

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Knowledge-Based Systems for Data Modelling

Advances in Business Information Systems and Analytics - Enterprise Information Systems and the Digitalization of Business Functions ◽

10.4018/978-1-5225-2382-6.ch016 ◽

2017 ◽

pp. 354-374 ◽

Cited By ~ 2

Author(s):

Sabrina Šuman ◽

Alen Jakupović ◽

Mile Pavlić

Keyword(s):

Systems Development ◽

Information Systems Development ◽

Conceptual Modelling ◽

Knowledge Based Systems ◽

Data Modelling ◽

Knowledge Based ◽

Complex Process ◽

Entity Relationship ◽

Modelling Process

Data modelling is a complex process that depends on the knowledge and experience of the designers who carry it out. The lack of designers' expertise in that process negatively affects the quality of created models which has a significant impact on the quality of successive phases of information systems development. This chapter provides an overview of data modelling, especially the entity relationship method, main actors in the modelling process, and highlights the main problems and challenges in this field. Knowledge based system for data modelling support has a potential to minimize and prevent most of the problems that occur in modelling process. Therefore, a systematic review of the existing KB systems, methods, and tools for the data modelling process is made. By summarizing their main characteristics, some important desirable features of the new KB system for data modelling support are identified. With this in mind, a new KB system for data modelling support is proposed, which applies formal language theory (particularly translation) during the process of conceptual modelling.

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