Expert systems. Diagnosing the cause of problem AAS data

Lahiri, Sharbari; Stillman, Martin J.

doi:10.1021/ac00028a002

Cited by 11 publications

(23 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…105 Over the last ten years, our laboratory has developed a number of expert systems serving diagnostic purposes for different types of analytical instrumentation including GC, GC-MS, and flame AAS. [109][110][111]119 Refer to section 6 for a more detailed description.…”

Section: Expert System Applications In the Chemistry Domainmentioning

confidence: 99%

Expert Systems and Analytical Chemistry: Recent Progress in the ACexpert Project

Zhu

Stillman

1996

J. Chem. Inf. Comput. Sci.

Self Cite

View full text Add to dashboard Cite

In this paper we discuss the application of expert system technology in the analytical chemistry domain and summarizes the progress made in the implementation of the ACexpert project. We start with a brief description of the software tools that are commonly used in construction of expert system applications as well as the inference mechanisms employed to search the knowledge base. A brief review of the achievements made world wide during the past five years in the development of expert systems for use in the chemistry domain follows. This paper particularly addresses the difficulties found in the knowledge acquisition process. An effective knowledge encoding scheme, named the knowledge domain matrix process (KDM), that has been developed in our laboratory as an knowledge encoding alternative, is described. In the final section, we describe the development of several stand-alone expert system modules based on implementation of the KDM scheme within the framework of the ACexpert project. The importance of the user interface in an expert system program is also emphasized, and graphical user interfaces featuring icons, pull-down menus, and graphical descriptions have been developed for the different modules in the ACexpert project to ensure a user-friendly and self-explanatory environment.

show abstract

Section: Expert System Applications In the Chemistry Domainmentioning

confidence: 99%

Expert Systems and Analytical Chemistry: Recent Progress in the ACexpert Project

Zhu

Stillman

1996

J. Chem. Inf. Comput. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…More detailed discussion of the KDM scheme can be found in other publications by this group. [32][33] Compilation of Domain Knowledge. Applying the causal analysis operation to the contents in Table 2, we obtain Table 4 in which the criteria shown in Table 2 are listed as conditions and where Category IDs are identified as conclusions.…”

Section: Computing Environmentmentioning

confidence: 99%

“…The unique advantage of the KDM scheme is that it enables the knowledge engineer to see directly the logical relations held in the knowledge matrix, so that a knowledge base developed in this way can be re-structured and expanded quite easily. 32,33 Hypermedia is an alternative way of implementing and structuring knowledge in an expert system shell, and has recently received much attention in the development of knowledge-based systems. 42 We find the hypermedia process interesting because it provides looser connections between the conditions and conclusions so that the system user can freely change, add or delete nodes of a decision tree developed using such methodology.…”

Section: Computing Environmentmentioning

confidence: 99%

Design of an Expert System for Emergency Response to a Chemical Spill. 1. Domain Definition and Knowledge Acquisition

Zhu¹,

Stillman²

1995

J. Chem. Inf. Comput. Sci.

Self Cite

View full text Add to dashboard Cite

This paper describes the knowledge acquisition stage in the development of an expert system designed to assist in planning the most appropriate response to chemical spills. A knowledge orientation analysis has been applied to the problem domain and a conceptual decision-making hierarchy has been constructed.Five primitive phases of action have been identified from this conceptual model, and these phases are followed in the subsequent development of the prototype. The knowledge base that was developed in this work consists of a database of factual information and a rulebase of heuristic knowledge. Using a subject-oriented structure, the database of information can effectively handle the large amount of literature information necessary to be considered in planning the response to a spill. The heuristic knowledge is represented as a set of production rules that help in the interpretation of the factual information. The knowledge acquisition process is referred to as a bottleneck in the development of expert system applications. For this prototype the knowledge acquisition step is carried out using an innovative knowledge encoding scheme, known as the knowledge domain matrix (KDM). A fully functional knowledge base has been developed.+ Keyword: knowledge acquisition, chemical spill, environmental emergency, knowledge base, production rules, inference engine, knowledge domain matrix, ERexpert.

show abstract

“…Some better known expert systems are used as diagnostic tools in the medical profession, such as INTERNIST and MYCIN (Hayes-Roth and others, 1983); for chemical analyses, such as DENDRAL (Hayes-Roth and others, 1983) and AAexpert (Lahiri and Stillman, 1992); and as exploration tools in mineral prospecting, such as PROS-PECTOR (Duda and others, 1981). Several prototype expert systems have been designed by the USGS for microcomputers, such as muPETROL (Miller, 1986(Miller, , 1987a(Miller, , b, 1991 for classification of sedimentary basins for petroleum assessment and an abbreviated version of PROSPECTOR, called muPROSPECTOR (McCammon, 1986(McCammon, , 1990.…”

Section: Expert -Systems Technologymentioning

confidence: 99%

GEOPLAY; a knowledge-based expert system; a model for exploration play analysis

Miller¹

1995

View full text Add to dashboard Cite

Expert systems. Diagnosing the cause of problem AAS data

Cited by 11 publications

References 5 publications

Expert Systems and Analytical Chemistry: Recent Progress in the ACexpert Project

Expert Systems and Analytical Chemistry: Recent Progress in the ACexpert Project

Design of an Expert System for Emergency Response to a Chemical Spill. 1. Domain Definition and Knowledge Acquisition

GEOPLAY; a knowledge-based expert system; a model for exploration play analysis

Contact Info

Product

Resources

About