Towards a general theory of action and time
Artificial Intelligence
A logic-based calculus of events
New Generation Computing
Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
Contexts: a formalization and some applications
Contexts: a formalization and some applications
Knowledge acquisition for temporal-abstraction mechanisms
Knowledge Acquisition - Special issue on knowledge acquisition for therapy-planning tasks
RE´SUME´: a temporal-abstraction system for patient monitoring
Computers and Biomedical Research - Papers presented at the 16th symposium on computer applications in medical care (SCAMC)
Task modeling with reusable problem-solving methods
Artificial Intelligence
A knowledge-based method for temporal abstraction of clinical data
A knowledge-based method for temporal abstraction of clinical data
A framework for knowledge-based temporal abstraction
Artificial Intelligence
TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS
TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS
Vm: representing time-dependent relations in a medical setting
Vm: representing time-dependent relations in a medical setting
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Quantificational logic of context
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Fundamenta Informaticae
Journal of Intelligent Information Systems - Special issue on integrating artificial intelligene and database technologies
CAPSUL: A constraint-based specification of repeating patterns in time-oriented data
Annals of Mathematics and Artificial Intelligence
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Temporal reasoning for decision support in medicine
Artificial Intelligence in Medicine
An intelligent, interactive tool for exploration and visualization of time-oriented security data
Proceedings of the 3rd international workshop on Visualization for computer security
Artificial Intelligence in Medicine
Journal of Intelligent Information Systems
Evaluation of a temporal-abstraction knowledge acquisition tool in the network security domain
Proceedings of the 4th international conference on Knowledge capture
Incremental application of knowledge to continuously arriving time-oriented data
Journal of Intelligent Information Systems
Using temporal constraints for temporal abstraction
Journal of Intelligent Information Systems
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Hi-index | 0.00 |
Temporal abstraction is the task of abstracting higher‐level concepts from time‐stamped data in a context‐sensitive manner. We have developed and implemented a formal knowledge‐based framework for decomposing and solving that task that supports acquisition, maintenance, reuse, and sharing of temporal‐abstraction knowledge. We present the logical model underlying the representation and runtime formation of interpretation contexts. Interpretation contexts are relevant for abstraction of time‐oriented data and are induced by input data, concluded abstractions, external events, goals of the temporal‐abstraction process, and certain combinations of interpretation contexts. Knowledge about interpretation contexts is represented as a context ontology and as a dynamic induction relation over interpretation contexts and other proposition types. Induced interpretation contexts are either basic, composite, generalized, or nonconvex. We provide two examples of applying our model using an implemented system; one in the domain of clinical medicine (monitoring of diabetes patients) and one in the domain of traffic engineering (evaluation of traffic‐control actions). We discuss several distinct advantages to the explicit separation of interpretation‐context propositions from the propositions inducing them and from the abstractions created within them.