Dynamic temporal interpretation contexts for temporal abstraction

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5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 3rd International Workshop on Temporal Representation and Reasoning, TIME 1996
EditorsLuca Chittaro, Scott Goodwin, Angelo Montanari, Howard Hamilton
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-71
Number of pages8
ISBN (Electronic)0818675284
DOIs
StatePublished - 1 Jan 1996
Externally publishedYes
Event3rd International Workshop on Temporal Representation and Reasoning, TIME 1996 - Key West, United States
Duration: 19 May 199620 May 1996

Publication series

NameProceedings of the International Workshop on Temporal Representation and Reasoning

Conference

Conference3rd International Workshop on Temporal Representation and Reasoning, TIME 1996
Country/TerritoryUnited States
CityKey West
Period19/05/9620/05/96

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