A framework for knowledge-based temporal abstraction
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abstract: A domain-independent knowledge-based inference structure is presented, specificto the task of abstracting higher-level concepts from time-stamped data. Theframework includes a model of time, parameters, events, and contexts. A formalspecification of a domain's temporal-abstraction knowledge supportsacquisition, maintenance, reuse, and sharing of that knowledge.The knowledge-based temporal-abstraction method decomposes thetemporal-abstraction task into five subtasks. These subtasks are solved byfive domain-independent temporal-abstraction mechanisms. Thetemporal-abstraction mechanisms depend on four domain-specific knowledge types:structural, classification (functional), temporal-semantic (logical), andtemporal-dynamic (probabilistic) knowledge. Values for the four knowledgetypes are specified when developing a temporal-abstraction system in a newdomain. The knowledge-based temporal-abstraction method has been implemented in theRESUME system and evaluated in several different clinical domains(protocol-based care, monitoring of children's growth, and therapy of diabetes)with encouraging results.
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| Abstract | A domain-independent knowledge-based infer … A domain-independent knowledge-based inference structure is presented, specificto the task of abstracting higher-level concepts from time-stamped data. Theframework includes a model of time, parameters, events, and contexts. A formalspecification of a domain's temporal-abstraction knowledge supportsacquisition, maintenance, reuse, and sharing of that knowledge.The knowledge-based temporal-abstraction method decomposes thetemporal-abstraction task into five subtasks. These subtasks are solved byfive domain-independent temporal-abstraction mechanisms. Thetemporal-abstraction mechanisms depend on four domain-specific knowledge types:structural, classification (functional), temporal-semantic (logical), andtemporal-dynamic (probabilistic) knowledge. Values for the four knowledgetypes are specified when developing a temporal-abstraction system in a newdomain. The knowledge-based temporal-abstraction method has been implemented in theRESUME 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 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-95-29 + |
| Month | March + |
| Note | Medical Computer Science + |
| Number | KSL-95-29 + |
| Tag | Computer science + |
| Title | A Framework for Knowledge-Based Temporal Abstraction + |
| Tr id | KSL-95-29 + |
| Year | 1995 + |
