Temporal reasoning based on semi-intervals
Artificial Intelligence
Temporal granularity for unanchored temporal data
Proceedings of the seventh international conference on Information and knowledge management
Maintaining knowledge about temporal intervals
Communications of the ACM
Granular partitions and vagueness
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
A general framework for time granularity and its application to temporal reasoning
Annals of Mathematics and Artificial Intelligence
A boundary-sensitive approach to qualitative location
Annals of Mathematics and Artificial Intelligence
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence
Imprecision in Finite Resolution Spatial Data
Geoinformatica
Rough Sets in Spatio-temporal Data Mining
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
A Taxonomy of Granular Partitions
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
The logic of time representation
The logic of time representation
An algebraic approach to granularity in qualitative time and space representation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Approximate qualitative spatial reasoning
Spatial Cognition and Computation
Efficient algorithms for fuzzy qualitative temporal reasoning
IEEE Transactions on Fuzzy Systems
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Information Sciences: an International Journal
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AOW '07 Proceedings of the Third Australasian Workshop on Advances in Ontologies - Volume 85
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We partition the time-line in different ways, for example, into minutes, hours, days, etc. When reasoning about relations between events and processes we often reason about their location within such partitions. For example, ix happened yesterday and iy happened today, consequently ix and iy are disjoint. Reasoning about these temporal granularities so far has focussed on temporal units (relations between minute, hour slots). I shall argue in this paper that in our representations and reasoning procedures we need into account that events and processes often lie skew to the cells of our partitions. For example, ‘happened yesterday’ does not mean that ix started at 12 a.m. and ended 0 p.m. This has the consequence that our descriptions of temporal location of events and processes are often approximate and rough in nature rather than exact and crisp. In this paper I describe representation and reasoning methods that take the approximate character of our descriptions and the resulting limits (granularity) of our knowledge explicitly into account.