The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Artificial Intelligence
Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
Logical modeling of temporal data
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
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Principles of database and knowledge-base systems, Vol. I
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SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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Temporal logic (vol. 1): mathematical foundations and computational aspects
On the semantics of (bi)temporal variable databases
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Information Systems
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ACM Transactions on Database Systems (TODS)
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PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
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ACM Transactions on Database Systems (TODS)
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
A general framework for time granularity and its application to temporal reasoning
Annals of Mathematics and Artificial Intelligence
Aggregates in the Temporal Query Language TQuel
IEEE Transactions on Knowledge and Data Engineering
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Proceedings of the Third International Conference on Data Engineering
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Advanced Database Systems
A general framework for time granularity and its application to temporal reasoning
Annals of Mathematics and Artificial Intelligence
Temporal and spatio-temporal aggregations over data streams using multiple time granularities
Information Systems - Special issue: Best papers from EDBT 2002
Temporal Aggregation over Data Streams Using Multiple Granularities
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Semantic Compression of Temporal Data
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
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Extending temporal databases to deal with telic/atelic medical data
Artificial Intelligence in Medicine
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Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Extending temporal databases to deal with telic/atelic medical data
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
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Data explicitly stored in a temporal database are often associated with certain semantic assumptions. Each assumption can be viewed as a way of deriving implicit information from explicitly stored data. Rather than leaving the task of deriving (possibly infinite) implicit data to application programs, as is the case currently, it is desirable that this be handled by the database management system. To achieve this, this paper formalizes and studies two types of semantic assumptions: point-based and interval-based. The point-based assumptions include those assumptions that use interpolation methods over values at different time instants, while the interval-based assumptions include those that involve the conversion of values across different time granularities. The paper presents techniques on: 1) how assumptions on specific sets of attributes can be automatically derived from the specification of interpolation and conversion functions, and 2) given the representation of assumptions, how a user query can be converted into a system query such that the answer of this system query over the explicit data is the same as that of the user query over the explicit and the implicit data. To precisely illustrate concepts and algorithms, the paper uses a logic-based abstract query language. The paper also shows how the same concepts can be applied to concrete temporal query languages.