Abstract
The goal of knowledge-based systems (KBSs) is not only to produce a solution to a problem that these systems face but also to construct, implicitly or explicitly, a situation-specific model (SSM) that explicates the rationale behind that solution. This paper focuses on how KBSs can benefit from the availability of explicit goal knowledge that reflects the underlying structure (ontology) of SSMs constructed for an application task. It first shows how goal knowledge can be captured. Then, it explains how ACE-SSM-an architecture for constructing explicit SSMs-uses this knowledge to direct the construction of explicit SSMs. Finally, it discusses benefits that KBSs can derive from the availability of explicit SSMs and their underlying goal knowledge. Some of these benefits pertain to ways to simplify the construction and maintenance of KBSs through reuse, while others relate to ways to endow KBSs with more robust problem solving and explanation capabilities. These benefits are illustrated using concrete examples.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Knowledge and Data Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
