Abstract
Conceptual modeling is viewed as a promising means to represent contextual knowledge, which may be enriched with semantics. Such modeling is capable of describing context, as well as, reasoning about it. Moreover, contextual reasoning is attained taking into consideration similarity-based approaches. This article proposes approximate reasoning about similarity among pieces of context using ontological modeling, description logics representation, and fuzzy logic inference rules. We report contextual similarity and fuzzy reasoning on top of logic based context semantics. Special emphasis is placed on similarity and analogical reasoning about context.
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 callDisclaimer: 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.
