Abstract
This paper tackles several issues of context representation in knowledge-based systems. First, we propose a definition of context through the description of the different types of information manipulated by a process. Thanks to this definition we explain the role of the granularity level of processing and the role of the abstraction level of application in modelling context. Based on this definition two main issues related to context are tackled: how context representation can be built and organized and how context contents can be re-used for other applications. Then we propose several solutions to deal with these issues: using a multi-viewpoint representation and describing context through symbolic information. We illustrate the proposed context model with the process of dynamic scene interpretation. After explaining the reasons why this process is particularly concerned with the use of contextual information, we describe the context representation and its implementation for this specific process. Finally, we give an example illustrating the utilization of the context representation and we describe the software we have developed to ease the acquisition stage of context contents.
Published Version
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.
