Maintaining knowledge about temporal intervals
Communications of the ACM
A Fuzzy Extension of Allen`s Interval Algebra
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Splitting complex temporal questions for question answering systems
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Imprecise temporal interval relations
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Temporal reasoning about fuzzy intervals
Artificial Intelligence
An Overview of Fuzzy Relational Calculus and Its Applications
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Qualitative temporal reasoning about vague events
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient algorithms for fuzzy qualitative temporal reasoning
IEEE Transactions on Fuzzy Systems
Formal verification of temporal questions in the context of query-answering text summarization
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
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A temporal question answering system must be able to deduce which qualitative temporal relation holds between two events, a reasoning task that is complicated by the fact that historical events tend to have a gradual beginning and ending. In this paper, we introduce an algebra of temporal relations that is well–suited to represent the qualitative temporal information we have at our disposal. We provide a practical algorithm for deducing new temporal knowledge, and show how this can be used to answer questions that require several pieces of qualitative and quantitative temporal information to be combined. Finally, we propose a heuristic technique to cope with inconsistencies that may arise when integrating qualitative and quantitative information.