This paper addresses the semantic context issue in business knowledge processing in the coming semantic era. Proposed context-aware approach aims at facilitating management of various types of static enterprise information and dynamic process information in businesses. This approach features representing and integrating information at different conceptual levels to present contextual knowledge in an open environment. Through a case study of business process improvement, we introduce a multi-layer semantic context abstract model for knowledge processing. Considering the importance of semantic markup languages and corresponding knowledge interoperation in the semantic era, we introduce a layered knowledge interoperation reference model to enable generic knowledge interoperation among different knowledge frameworks such as the Semantic Web. On the development aspect, we present a prototype of RSS aggregation based on context using intelligent agents.
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