TY - GEN
T1 - Model-based visualization of temporal abstractions
AU - Shahar, Yuval
AU - Cheng, Cleve
N1 - Funding Information:
This work has been supported by grants LM05708 and LM06245 from the National Library of Medicine and IRI-9528444 from the National Science Foundation. Computing resources were provided by the CAMIS project, funded under grant No. LM05305 from the National Library of Medicine
Publisher Copyright:
© 1998 IEEE.
PY - 1998/1/1
Y1 - 1998/1/1
N2 - We describe a domain-independent framework (KNAVE) specific to the task of interpretation, summerization, visualization, explanation, and interactive navigation in a context-sensitive manner through time-oriented raw data and the multiple levels of higher-level, interval-based concepts that can be abstracted from these data. The KNAVE domain-independent navigation operators access the domain-specific knowledge base, which is modeled by the formal ontology of the knowledge-based temporal-abstraction method; the method generates the temporal abstractions from the time-oriented database. Thus, domain-specific knowledge underlies the semantics of the domain-independent visualization and navigation processes. By accessing the domain-specific temporal abstraction knowledge base and the domain-specific time-oriented database, KNAVE modules enable users to query for domain-specific temporal abstractions and to change the focus of the visualization, thus reusing for a different task (visualization and navigation) the domain model that has been acquired from the domain experts for the purpose of temporal abstraction. Initial evaluation of the KNAVE prototype has been encouraging. The KNAVE methodology has potentially broad implications for tasks such as planning, monitoring, explanation, and data mining.
AB - We describe a domain-independent framework (KNAVE) specific to the task of interpretation, summerization, visualization, explanation, and interactive navigation in a context-sensitive manner through time-oriented raw data and the multiple levels of higher-level, interval-based concepts that can be abstracted from these data. The KNAVE domain-independent navigation operators access the domain-specific knowledge base, which is modeled by the formal ontology of the knowledge-based temporal-abstraction method; the method generates the temporal abstractions from the time-oriented database. Thus, domain-specific knowledge underlies the semantics of the domain-independent visualization and navigation processes. By accessing the domain-specific temporal abstraction knowledge base and the domain-specific time-oriented database, KNAVE modules enable users to query for domain-specific temporal abstractions and to change the focus of the visualization, thus reusing for a different task (visualization and navigation) the domain model that has been acquired from the domain experts for the purpose of temporal abstraction. Initial evaluation of the KNAVE prototype has been encouraging. The KNAVE methodology has potentially broad implications for tasks such as planning, monitoring, explanation, and data mining.
UR - http://www.scopus.com/inward/record.url?scp=0001877289&partnerID=8YFLogxK
U2 - 10.1109/TIME.1998.674126
DO - 10.1109/TIME.1998.674126
M3 - Conference contribution
AN - SCOPUS:0001877289
T3 - Proceedings of the International Workshop on Temporal Representation and Reasoning
SP - 11
EP - 20
BT - Proceedings - 5th International Workshop on Temporal Representation and Reasoning, TIME 1998
A2 - Khatib, Lina
A2 - Morris, Robert
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Workshop on Temporal Representation and Reasoning, TIME 1998
Y2 - 16 May 1998 through 17 May 1998
ER -