INTEGRATING KNOWLEDGE AND DATA PROCESSING FOR CONSTRUCTION SCHEDULING

As knowledge-based systems become more widely used in engineering companies, it is increasingly clear that such systems need to integrate well with the existing numerical processing environments, such as database management and project management systems. This paper describes an implemented system,...

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Vydáno v:Civil engineering systems Ročník 12; číslo 4; s. 287 - 305
Hlavní autoři: SOH, CHEE-KIONG, WONG, WOON-PENG, PHANG, KOK-WAI, LAI, KUM-YEW
Médium: Journal Article
Jazyk:angličtina
Vydáno: Yverdon Taylor & Francis Group 01.11.1995
Gordon and Breach
Témata:
Applied sciences
Buildings. Public works
database management
Exact sciences and technology
integrated systems
Knowledge-embedded database systems
numeric processing
project management
Project management. Process of design
symbolic processing
System architecture
Construction
Project management
Knowledge representation
Data processing
Digital processing
Knowledge base
Scheduling
Implementation
Database
Integrated system
Database management system
Intelligent system
ISSN:0263-0257
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Shrnutí:As knowledge-based systems become more widely used in engineering companies, it is increasingly clear that such systems need to integrate well with the existing numerical processing environments, such as database management and project management systems. This paper describes an implemented system, CICONSA, to illustrate the applicability of another approach to the integration problem via: (1) the direct integration of knowledge-bases and databases to form what we will call knowledge-embedded database systems, and (2) the coupling of knowledge-bases and the existing numerical computing packages to create a hybrid symbolic-numeric computing environment. The focus of this approach is on the enhancement of the widely used dBase III database management system for the embedding of knowledge in a database system, as well as for the coupling of the knowledge-embedded database system to existing programs for numerical analysis. At the end, we demonstrate its practical application with a worked example.
ISSN:0263-0257
DOI:10.1080/02630259508970178