Knowledge Acquisition for Domain Experts

Cohn, Louis F.; Harris, Roswell A.; Bowlby, William

doi:10.1061/(asce)0887-3801(1988)2:2(107)

Cited by 15 publications

(6 citation statements)

References 8 publications

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“…Likewise, knowledge and its elicitation and acquisition has been the focus of several authors in the industry (Cohn, 1988; Aouad et al ., 1994). Other researchers have related this more specifically to design and technology (Hanna et al ., 1992; Fischer & Tatum, 1997; Melhem et al ., 1997; Frohnsdorff & Kaetzel, 1999).…”

Section: Application Of Expert Systems In Constructionmentioning

confidence: 99%

Acquisition and structuring of knowledge for defect prediction in brickwork mortar

Stephenson¹,

Morrey²,

VACHER³

et al. 2002

Eng Const Arch Manage

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The extent of defects within the construction sector is considerable. This not only has implications for final built products, but also impacts on remedial and repair work, time delays and additional cost. This research work aims to evaluate the success of applying knowledge engineering (KE) techniques to the domain of defect prediction focusing specifically on brickwork mortar. A structured approach is developed which relates to the prediction of defects on housing developments. Knowledge engineering techniques are assessed to facilitate the provision of domain knowledge readily accessible by design engineers and architects. The KE techniques are used as an alternative to the current methods, techniques and technologies used within the construction industry. This is achieved by assessment of the predictive approach to facilitate decreases in ‘quality losses’, i.e. decreases in pre‐ mature failure and hence improved quality perfor‐ mance. Attention is also given to the consideration of complex defects to promote increased efficiency in communication and co‐ordination of information for design and building processes, thereby helping to reduce the cost of maintenance and repair work.

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Section: Application Of Expert Systems In Constructionmentioning

confidence: 99%

Acquisition and structuring of knowledge for defect prediction in brickwork mortar

Stephenson¹,

Morrey²,

VACHER³

et al. 2002

Eng Const Arch Manage

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“…is considered by many ES developers as the most critical phase in an ES's lifecycle. Moreover, the quality and quantity of obtained knowledge for encoding is crucial (Cohn et al 1988).…”

Section: Expert Systems Developmentmentioning

confidence: 99%

Review of Expert System (ES), Geographic Information System (GIS), Decision Support System (DSS), and their applications in landfill design and management

2001

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This paper provides the reader with a brief discussion on Expert System (ES), Geographic Information System (GIS), and Environmental Decision Support System (EDSS) technologies and their applications in environmental engineering in general and in landfill design and management in specific. It also brings into attention the benefits of integrating ESs and GISs together with simulation models (SM) in a decision support systems (DSS) framework to solve complex environmental problems, facilitated by the new advancements of computer technologies (both in hardware and software). Examples of such integration are provided to reflect how such a system can improve landfill design and management. Finally, the discussion concludes with the fact that although solving landfill design problems could greatly benefit from such a combination of technologies, there have been no attempts to combine ES, GIS, and SM for the comprehensive evaluation of landfill design and performance.

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“…5.1 Stages in expert system development The general steps in building an expert system (Terry 1991, Cohn et al 1988, Dym 1987 involve: (i) task analysis; (ii) knowledge acquisition; (iii) prototype development; (iv) expansion and refinement; and (v) verification and validation. This section discusses the general guidelines for the implementation of knowledge engineering.…”

Section: Building An Expert System-some Guidelinesmentioning

confidence: 99%

“…human experts or documents) and transforming it into some convenient form for subsequent representation as a computer-compatible knowledge base (Levitt 1986, Cohn et al 1988, Hayes-Roth et al 1983, McGraw & Harbison-Briggs 1989. human experts or documents) and transforming it into some convenient form for subsequent representation as a computer-compatible knowledge base (Levitt 1986, Cohn et al 1988, Hayes-Roth et al 1983, McGraw & Harbison-Briggs 1989.…”

Section: Knowledge Acquisitionmentioning

confidence: 99%

“…Various knowledge acquisition methods have been discussed in the literature (Hushon 1990, Cohn et al 1988, Cleal & Heaton 1988. They have been used for various situations and, in solid waste management applications particularly, there is no prescriptive way or formal methodology which is applicable universally (Cleal & Heaton 1988, Rowlinson 1989).…”

Section: Knowledge Acquisitionmentioning

confidence: 99%

See 1 more Smart Citation

Expert Systems in Solid Waste Management

Basri

Stentiford

1995

Waste Manag Res

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Artificial intelligence, and expert systems in particular, are an exciting and relatively new application of computers. They provide new opportunities for harnessing the scarce and often scattered pieces of valuable knowledge and experience in solid waste management which at present is in the possession of the privileged few. While conventional algorithmic programming replaced much of the sophisticated and repetitive analytical work of the solid waste practitioner, expert systems are poised to take over the no-less important tasks of the ill-structured and less-deterministic parts of the planning, design and management processes. Endeavours in other branches of engineering to utilise this new computing technology indicate that solid waste expertise in various forms has a tremendous potential to be encoded successfully in expert systems. This state-of-the-art review presents a background of expert systems technology followed by guidelines to its successful implementation in the solid waste management domain. Key Words—Computer applications, expert systems, knowledge-based systems, solid waste management.

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Knowledge Acquisition for Domain Experts

Cited by 15 publications

References 8 publications

Acquisition and structuring of knowledge for defect prediction in brickwork mortar

Acquisition and structuring of knowledge for defect prediction in brickwork mortar

Review of Expert System (ES), Geographic Information System (GIS), Decision Support System (DSS), and their applications in landfill design and management

Expert Systems in Solid Waste Management

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