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Lecture Notes in Computer Science
The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the Context Interchange (COIN) framework, this paper introduces the notion of temporal context as a formalization of the problem. We represent temporal context as a multi-valued method in F-Logic; however, only one value is valid at any point in time, the determination of which is constraineddoi:10.1007/978-3-540-30122-6_7 fatcat:wbavz7o5zfhw5bxnoyelb65kae