Artificial Intelligence
Artificial Intelligence - Special issue on knowledge representation
A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
Readings in model-based diagnosis
Readings in model-based diagnosis
Performance of temporal reasoning systems
ACM SIGART Bulletin
Efficient algorithms for qualitative reasoning about time
Artificial Intelligence
On the computational complexity of querying bounds on differences constraints
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Using Compiled Knowledge to Guide and Focus Abductive Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Extending Temporal Relational Databases to Deal with Imprecise and Qualitative Temporal Information
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
Querying Temporal Constraint Networks: A Unifying Approach
Applied Intelligence
IEEE Transactions on Knowledge and Data Engineering
Local Reasoning and Knowledge Compilation for Efficient Temporal Abduction
IEEE Transactions on Knowledge and Data Engineering
Symbolic User-Defined Periodicity in Temporal Relational Databases
IEEE Transactions on Knowledge and Data Engineering
Checking the temporal integrity of interactive multimedia documents
The VLDB Journal — The International Journal on Very Large Data Bases
The VLDB Journal — The International Journal on Very Large Data Bases
Artificial Intelligence in Medicine
Reasoning on interval and point-based disjunctive metric constraints in temporal contexts
Journal of Artificial Intelligence Research
Querying incomplete geospatial information in RDF
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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In recent years,AI researchers and system developers have grown increasingly interested in task-oriented approaches to problem solving. One task, temporal reasoning, is pervasive in many AI activities, including diagnosis, planning, scheduling, temporal database management, and natural-language understanding. These activities would benefit from a temporal knowledge server that could deal efficiently with various types of temporal information. Indeed, specialized temporal-information managers have emerged, and AI researchers have proposed several approaches for dealing with time in problem solving. Later (layered temporal reasoner), our general-purpose manager of temporal information, fills such a need. It exhibits the following characteristics: The Later knowledge server operates as a loosely coupled cooperative agent for use by various problem solvers (or applications) that need to deal with time.Its clear, easy-to-use interface language lets users easily manipulate and query a temporal knowledge base.Later's predictable behavior means that temporal reasoning is correct and complete and that reasoning is computationally tractable.Its query processing is efficient; in fact, query processing is the basis of the integration with other reasoning tasks. Users can exploit Later in problem solving by adopting a modular approach that loosely couples our system with other modules. After describing Later's architecture and operations, this article demonstrates its usefulness with a concrete example involving temporal model-based diagnosis.