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Lecture Notes in Computer Science
One difficult task in information modeling is to adequately address the impact of time. This paper briefly reviews some popular approaches for modeling temporal data and operations, then provides a conceptual framework for classifying temporal information, and proposes data model patterns to address time-impacted tasks such as modeling histories, and tracking entities across time as they migrate between roles. Special attention is given to capturing the relevant business rules. While the datadoi:10.1007/978-3-540-88875-8_93 fatcat:6aye2jnbdjhslhnmepuyzbcxfm