Premium
Knowledge types: a practical approach to guide knowledge engineering in domains of building design
Author(s) -
Andersen Tom
Publication year - 1996
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1996.tb00186.x
Subject(s) - computer science , domain knowledge , knowledge engineering , domain (mathematical analysis) , knowledge management , knowledge acquisition , expert system , focus (optics) , knowledge based systems , listing (finance) , body of knowledge , object (grammar) , open knowledge base connectivity , software engineering , design knowledge , personal knowledge management , artificial intelligence , organizational learning , bottleneck , mathematical analysis , physics , mathematics , finance , optics , economics , embedded system
Abstract: This paper presents experiences and findings achieved through several expert system projects in domains of technical buiding design. The main focus is on knowledge acquisition and knowledge decomposition. Different approaches are presented and discussed. Four types of knowledge are presented: object knowledge, performance knowledge, event knowledge and metaknowledge, and the applicability of this classification to building design is justified. The paper includes a listing of experiences gained by real world testing of an expert system, and finally we outline guidelines to knowledge engineering in the domain of technical building