TY - JOUR
T1 - Eliciting semantic relations for empirically derived networks
AU - Cooke, Nancy J.
PY - 1992/12
Y1 - 1992/12
N2 - Knowledge elicitation is a critical, yet difficult, process in the development of knowledge-based systems. Pathfinder, a network scaling technique that elicits and represents knowledge in the form of graph structures, has been proposed as a means of overcoming some of the difficulties of other elicitation techniques. However, Pathfinder networks are limited in that their links represent associative, but not semantic, information about conceptual relations. This research addresses the problem of eliciting semantic relations in order to enrich the Pathfinder network representation and increase its potential as a knowledge-elicitation technique. In this paper the SCAN (Sorting, Clustering and Naming) methodology is described and illustrated using links in a network of 20 common concepts. SCAN is also applied to a network of programming concepts. Finally, the methodology is evaluated and compared to related methodologies. Results of these studies indicate that SCAN is a promising link-labelling methodology.
AB - Knowledge elicitation is a critical, yet difficult, process in the development of knowledge-based systems. Pathfinder, a network scaling technique that elicits and represents knowledge in the form of graph structures, has been proposed as a means of overcoming some of the difficulties of other elicitation techniques. However, Pathfinder networks are limited in that their links represent associative, but not semantic, information about conceptual relations. This research addresses the problem of eliciting semantic relations in order to enrich the Pathfinder network representation and increase its potential as a knowledge-elicitation technique. In this paper the SCAN (Sorting, Clustering and Naming) methodology is described and illustrated using links in a network of 20 common concepts. SCAN is also applied to a network of programming concepts. Finally, the methodology is evaluated and compared to related methodologies. Results of these studies indicate that SCAN is a promising link-labelling methodology.
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U2 - 10.1016/0020-7373(92)90065-S
DO - 10.1016/0020-7373(92)90065-S
M3 - Article
AN - SCOPUS:38249009464
SN - 0020-7373
VL - 37
SP - 721
EP - 750
JO - International Journal of Man-Machine Studies
JF - International Journal of Man-Machine Studies
IS - 6
ER -