A Framework for Knowledge-Based Temporal Abstraction

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Citation: Yuval Shahar. (1995) A Framework for Knowledge-Based Temporal Abstraction. In KSL-95-29, March,1995.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Yuval Shahar
title A Framework for Knowledge-Based Temporal Abstraction
number KSL-95-29
institution Knowledge Systems, AI Laboratory
year 1995
month March
Bibtex more
note Medical Computer Science
Access Paper
abstract A domain-independent knowledge-based inference structure is presented, specific to the task of abstracting higher-level concepts from time-stamped data. The framework includes a model of time, parameters, events, and contexts. A formal specification of a domain's temporal-abstraction knowledge supports acquisition, maintenance, reuse, and sharing of that knowledge.The knowledge-based temporal-abstraction method decomposes the temporal-abstraction task into five subtasks. These subtasks are solved by five domain-independent temporal-abstraction mechanisms. Thetemporal-abstraction mechanisms depend on four domain-specific knowledge types:structural, classification (functional), temporal-semantic (logical), and temporal-dynamic (probabilistic) knowledge. Values for the four knowledge types are specified when developing a temporal-abstraction system in a new domain. The knowledge-based temporal-abstraction method has been implemented in the RESUME system and evaluated in several different clinical domains(protocol-based care, monitoring of children's growth, and therapy of diabetes)with encouraging results.

KSL Technical Report ID: KSL-95-29
Facts about A Framework for Knowledge-Based Temporal AbstractionRDF feed
Abstract A domain-independent knowledge-based infer … A domain-independent knowledge-based inference structure is presented, specific to the task of abstracting higher-level concepts from time-stamped data. The framework includes a model of time, parameters, events, and contexts. A formal specification of a domain's temporal-abstraction knowledge supports acquisition, maintenance, reuse, and sharing of that knowledge.The knowledge-based temporal-abstraction method decomposes the temporal-abstraction task into five subtasks. These subtasks are solved by five domain-independent temporal-abstraction mechanisms. Thetemporal-abstraction mechanisms depend on four domain-specific knowledge types:structural, classification (functional), temporal-semantic (logical), and temporal-dynamic (probabilistic) knowledge. Values for the four knowledge types are specified when developing a temporal-abstraction system in a new domain. The knowledge-based temporal-abstraction method has been implemented in the RESUME system and evaluated in several different clinical domains(protocol-based care, monitoring of children's growth, and therapy of diabetes)with encouraging results. rapy of diabetes)with encouraging results.
Author Yuval Shahar  +
Bibtype techreport  +
Has author Yuval Shahar  +
Has identifier KSL-95-29  +
Has publishing details March,1995  +
Has title A Framework for Knowledge-Based Temporal Abstraction  +
Has where published KSL-95-29  +
Has year 1995  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-95-29  +
Month March  +
Note Medical Computer Science
Number KSL-95-29  +
Process note NO  +
Title A Framework for Knowledge-Based Temporal Abstraction  +
Year 1995  +
Retrieved from "http://tw.rpi.edu/wiki/A_Framework_for_Knowledge-Based_Temporal_Abstraction"
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