The Semantic Web and Human Inference: A Lesson from Cognitive Science
author:
Takashi Yamauchi,
Department of Psychology, Texas A&M University
Description
For the development of Semantic Web technology, researchers and
developers in the Semantic Web community need to focus on the areas in which
human reasoning is particularly difficult. Two studies in this paper demonstrate
that people are predisposed to use class-inclusion labels for inductive judgments.
This tendency appears to stem from a general characteristic of human
reasoning – using heuristics to solve problems. The inference engines and interface
designs that incorporate human reasoning need to integrate this general
characteristic underlying human induction.
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