Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Takashi Yamauchi

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.

The Semantic Web and Human Inference: A Lesson from Cognitive Science was presented at this event.

Keywords: Application software, Evaluation, Human-computer interaction, Ontology (computer science), Ontology (Computer Science), Semantic Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/research/papers/603
Same as: http://iswc2007.semanticweb.org/papers/603.pdf
Same as: http://revyu.com/things/iswc-aswc-2007-research-paper-603-the-semantic

Explore this resource elsewhere:

• on Snorql
• on VisiNav
• on Sindice