Knowledge Acquisition for a Knowledge-Based System for Foundation Subsidence

2009 ◽  
Author(s):  
D. Scott ◽  
C.J. Anumba ◽  
C.A.G. Webster
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Based System ◽  
Knowledge Based

Capturing Evolutional Knowledge Using Time Interval Tracing

2007 ◽  
Vol 11 (4) ◽  
pp. 373-380
Author(s):  
Shun-Chieh Lin ◽  
◽  
Chia-Wen Teng ◽  
Shian-Shyong Tseng ◽  
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Time Domain ◽  
Domain Knowledge ◽  
Domain Ontology ◽  
Time Interval ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Over Time

Knowledge acquisition is a critical bottleneck in building a knowledge-based system. Much research and many tools have been developed to acquire domain knowledge with embedded rules that may be ignored in constructing the initial prototype. Due to different backgrounds and dynamic knowledge changing over time, domain knowledge constructed at one time may be degraded at any time thereafter. Here, we propose knowledge acquisition, called enhanced embedded meaning capturing under uncertainty deciding (enhanced EMCUD), which constructs a domain ontology and traces information over time to efficiently update time-related domain knowledge based on the current environment. We enrich the knowledge base and ease the construction of domain knowledge that changes with times and the environment.

Knowledge-Based System for Major-Pieces Lifting Project Using MRM

2012 ◽  
Vol 170-173 ◽  
pp. 3260-3265
Author(s):  
Zhan Min Lv ◽  
Wei Yan ◽  
Jun Liang He ◽  
Dao Fang Chang
Keyword(s):  
Decision Making ◽  
Knowledge Acquisition ◽  
Matrix Representation ◽  
Critical Role ◽  
Major Obstacle ◽  
Practical Application ◽  
Domain Experts ◽  
Knowledge Based System ◽  
Knowledge Based

Knowledge-based system (KBS) for major-pieces lifting projects can be useful for improving the level of decision-making. And it is important to use the knowledge acquired from domain experts to finish all kinds of projects for lifting major-pieces. Knowledge acquisition plays a critical role in constructing a KBS for major-pieces lifting project, also it is commonly regarded as a major obstacle and bottleneck in the process of designing and implementing a KBS. This paper presents a KBS model based on matrix representation and mapping (MRM) approach to facilitate the effectiveness of knowledge acquisition in constructing a KBS. A case study on practical application is employed to illustrate how the KBS works.

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