UMBC ebiquity
5th Biennial Conference of the Canadian Society for Computational Studies of Intelligence
Using Spreading Activation to Identify Relevant Help
May 15, 1984
Online assistance programs should have the ability to fulfill complex requests for information. We have built an assistance program for the Franz Lisp programming language in which users can enter multiple keyword queries in an unstructured form. The keywords are mapped into the semantic network database, and spreading activation is used to determine the object to be retrieved. A many-to-many mapping between keywords and topics permits familiar words to refer to potentially unfamiliar and diverse topics; for example, in Franz Lisp, the keyword 'add' is associated with CONS, APPEND, and PLUS. A weighting scheme assigns a value for relatedness between keywords and objects, making 'add' most closely related to PLUS. Activation is directed by assigning weights to the topics and to the classes of links between objects.
InProceedings
Canadian Society for Computational Studies of intelligence
Downloads: 932 downloads