TY - JOUR
T1 - Knowledge acquisition for temporal-abstraction mechanisms
AU - Shahar, Yuval
AU - Tu, Samson W.
AU - Musen, Mark A.
N1 - Funding Information:
This work has been supported in part by grant LM05157 from the National Library of Medicine, by grant HS06330 from the Agency for Health Care Policy and Research, by a grant from the Institute for Biological and Clinical Investigation at Stanford University and by a gift from Digital Equipment Corporation . Computer support was provided in part by grant RR05453 from the Biomedical Research Support Grant Program of the National Institutes of Health, and by the SUMEX-AIM resource, supported by grant LM05208 from the National Library of Medicine . We thank John Dawes, John Egar, Angel Puerta, James Winkles and Joseph Schreiner for their contributions to the design of the PROTEGE-II system ; Yoav Shoham, Nita Goyal and Rebecca Thomas for illuminating discussions regarding temporal abstractions, and Lyn Dupre for critiquing the style of earlier versions .
PY - 1992/1/1
Y1 - 1992/1/1
N2 - We describe three general temporal-abstraction mechanisms needed for managing time-stamped data: point temporal abstraction (a mechanism for abstracting several parameter values into one class); temporal inference (a mechanism for inferring sound logical conclusions over a single interval or two meeting intervals); and temporal interpolation (a mechanism for bridging non-meeting temporal intervals). Making explicit the knowledge required for temporal abstractions supports the acquisition of problem-solving knowledge needed for planning, plan execution, problem identification and plan revision. These mechanisms are implemented in the RÉSUMÉ system, and will be used in the context of our ongoing PROTÉGÉ-II project, whose goal is to generate knowledge-based systems automatically, as well as the appropriate knowledge-acquisition tools, custom-tailored to acquire the specific domain and task knowledge needed by the specific problem-solving method chosen for the task.
AB - We describe three general temporal-abstraction mechanisms needed for managing time-stamped data: point temporal abstraction (a mechanism for abstracting several parameter values into one class); temporal inference (a mechanism for inferring sound logical conclusions over a single interval or two meeting intervals); and temporal interpolation (a mechanism for bridging non-meeting temporal intervals). Making explicit the knowledge required for temporal abstractions supports the acquisition of problem-solving knowledge needed for planning, plan execution, problem identification and plan revision. These mechanisms are implemented in the RÉSUMÉ system, and will be used in the context of our ongoing PROTÉGÉ-II project, whose goal is to generate knowledge-based systems automatically, as well as the appropriate knowledge-acquisition tools, custom-tailored to acquire the specific domain and task knowledge needed by the specific problem-solving method chosen for the task.
UR - http://www.scopus.com/inward/record.url?scp=0000014221&partnerID=8YFLogxK
U2 - 10.1016/1042-8143(92)90027-X
DO - 10.1016/1042-8143(92)90027-X
M3 - Article
AN - SCOPUS:0000014221
SN - 1042-8143
VL - 4
SP - 217
EP - 236
JO - Knowledge Acquisition
JF - Knowledge Acquisition
IS - 2
ER -