Design of a generic knowledge acquisition shell

Chien, Chih-Cheng; Ho, Cheng-Seen

doi:10.1109/tai.1992.246427

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…In an attempt to standardize the knowledge acquisition process, generic acquisition shells have been developed (Chien & Ho, 1992) and extended with methods for updating incomplete or partially incorrect knowledge bases (Tecuci, 1992) (Winter, 1992) (Su, Zhang, Hou, & Pan, 2002). The work has also been facilitated by studies on the automatic acquisition of shallow knowledge, which is the experience acquired heuristically while solving problems (Okamura, Baba, Takahashi, & Shiomi, 1991).…”

Section: Automatic Knowledge Extractionmentioning

confidence: 99%

Knowledge acquisition for decision support systems on an electronic assembly line

Gebus

Leiviskä

2009

Expert Systems with Applications

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Section: Automatic Knowledge Extractionmentioning

confidence: 99%

Knowledge acquisition for decision support systems on an electronic assembly line

Gebus

Leiviskä

2009

Expert Systems with Applications

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“…Because the domain knowledge is often very specific, knowledge acquisition is a labor-intensive task. For that reason, generic acquisition shells have been developed (Chien & Ho, 1992) and extended with methods for updating incomplete or partially incorrect knowledge bases (Tecuci, 1992) (Su et al, 2002). The work has also been facilitated by studies on the automatic acquisition of shallow knowledge, which is the experience acquired heuristically while solving problems (Okamura et al, 1991), or by compensating for the knowledge engineer's lack of domain knowledge, so that the resulting knowledge base is accurate and complete (Fujihara et al, 1997).…”

Section: Automatic Knowledge Extractionmentioning

confidence: 99%

Defect-Related Knowledge Acquisition for Decision Support Systems in Electronics Assembly

Gebus¹,

Leiviskä²

2007

Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics

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Real-time process control and production optimization are extremely challenging areas. Traditional approaches often lack in robustness or reliability when dealing with incomplete, inaccurate, or simply irrelevant data. This is a major problem when building decision support systems especially in electronics manufacturing, where blind feature extraction and data mining methods on large databases are common. Performance of these methods can be drastically increased when combined with knowledge or expertise of the process. This paper describes how defect-related knowledge on an electronic assembly line can be integrated in the decision making process at an operational and organizational level. It focuses in particular on the acquisition of shallow knowledge concerning everyday human interventions on the production lines, as well as on the conceptualization and factory wide sharing of the resulting defect information. Software with dedicated interfaces has been developed for that purpose. Semi-automatic knowledge acquisition from the production floor and generation of comprehensive reports for the quality department resulted in an improvement of the usability, usage, and usefulness of the decision support system.

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Design of a generic knowledge acquisition shell

Cited by 2 publications

References 13 publications

Knowledge acquisition for decision support systems on an electronic assembly line

Knowledge acquisition for decision support systems on an electronic assembly line

Defect-Related Knowledge Acquisition for Decision Support Systems in Electronics Assembly

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