TY - GEN
T1 - Dynamic temporal interpretation contexts for temporal abstraction
AU - Shahar, Y.
N1 - Publisher Copyright:
© 1996 IEEE.
PY - 1996/1/1
Y1 - 1996/1/1
N2 - The temporal-Abstraction task 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 discuss the advantages of separating explicitly interpretation-context propositions from the propositions inducing them and from the abstractions created within them.
AB - The temporal-Abstraction task 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 discuss the advantages of separating explicitly interpretation-context propositions from the propositions inducing them and from the abstractions created within them.
UR - http://www.scopus.com/inward/record.url?scp=0342775580&partnerID=8YFLogxK
U2 - 10.1109/TIME.1996.555683
DO - 10.1109/TIME.1996.555683
M3 - Conference contribution
AN - SCOPUS:0342775580
T3 - Proceedings of the International Workshop on Temporal Representation and Reasoning
SP - 64
EP - 71
BT - Proceedings - 3rd International Workshop on Temporal Representation and Reasoning, TIME 1996
A2 - Chittaro, Luca
A2 - Goodwin, Scott
A2 - Montanari, Angelo
A2 - Hamilton, Howard
PB - Institute of Electrical and Electronics Engineers
T2 - 3rd International Workshop on Temporal Representation and Reasoning, TIME 1996
Y2 - 19 May 1996 through 20 May 1996
ER -