Logical modeling of temporal data
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
ACM SIGMOD Record
Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
Temporal modules: an approach toward federated temporal databases
Information Sciences—Informatics and Computer Science: An International Journal
Formal semantics for time in databases
ACM Transactions on Database Systems (TODS)
XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
Temporal Semantic Assumptions and Their Use in Databases
IEEE Transactions on Knowledge and Data Engineering
Data Compression Support in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Temporal Aggregation over Data Streams Using Multiple Granularities
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
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In a temporal database a specific semantics is usually intended by the database designer regarding how the values of certain attributes evolve over time and how these values change when considered in terms of different time granularities. In this paper we show how this semantics can be exploited to compress the original database. Differently from traditional compression techniques, queries can be evaluated directly against the compressed database.