Title

SPHINX: a knowledge acquisition assistant

Author

Roland D. Go

Date of Publication

1989

Document Type

Master's Thesis

Degree Name

Master of Science in Computer Science

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Arturo I. Concepcion

Defense Panel Chair

Arturo I. Concepcion

Defense Panel Member

Renato Saquing
Kang Mun Arturo Tan

Abstract/Summary

Unstructured analysis and design of expert systems can cause problems at later stages. And consequently the failure of the expert system. This study investigated and proposed a methodology that is structured for knowledge engineering (KE) specifically for diagnostic problem domain. The methodology proposes a model-driven analysis and design of diagnostic expert systems. The formal model developed of the diagnostic knowledge will enable the construction of heuristics and other algorithms used to maintain knowledge bases. The model also serves as an interface that bridge the gap between verbal data on expertise and an implementation language used to simulate the expert's knowledge using the computer. An assistant, called SPHINX is constructed based on the model-driven concept. SPHINX provides an environment that enables a knowledge base designer to iteratively transfer knowledge from a human expert. It is used to build a prototype expert system for symptom/diagnostic problem domain. One of the important capabilities SPHINX has is its ability to explicitly represent knowledge and translates this knowledge into a rule-based system fully compatible with VP Expert [VP87] (an expert system shell). For portability reason, SPHINX is implemented in O.

Abstract Format

html

Language

English

Format

Print

Accession Number

TG01667

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

182, [167] p., 28 cm.

Keywords

Knowledge acquisition (Expert systems); Expert systems (Computer science)

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