The Semantic Web and Human Inference: A Lesson from Cognitive Science
T. Yamauchi. Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, volume 4825 of LNCS, page 603--616. Berlin, Heidelberg, Springer Verlag, (November 2007)
Abstract
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.
%0 Conference Paper
%1 Yamauchi/2007/Semantic
%A Yamauchi, Takashi
%B Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea
%C Berlin, Heidelberg
%D 2007
%E Aberer, Karl
%E Choi, Key-Sun
%E Noy, Natasha
%E Allemang, Dean
%E Lee, Kyung-Il
%E Nixon, Lyndon J B
%E Golbeck, Jennifer
%E Mika, Peter
%E Maynard, Diana
%E Schreiber, Guus
%E Cudré-Mauroux, Philippe
%I Springer Verlag
%K 2007 application_software cognition evaluation human human-computer_interaction inference iswc lesson ontology_(computer_science) research_05 science semantic semantic_web web
%P 603--616
%T The Semantic Web and Human Inference: A Lesson from Cognitive Science
%U http://iswc2007.semanticweb.org/papers/603.pdf
%V 4825
%X 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.
@inproceedings{Yamauchi/2007/Semantic,
abstract = {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.},
added-at = {2007-11-07T19:13:58.000+0100},
address = {Berlin, Heidelberg},
author = {Yamauchi, Takashi},
biburl = {https://www.bibsonomy.org/bibtex/2cf163eb799dbda08d2cb3776e18cddbd/iswc2007},
booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe},
interhash = {7a17d42eb42fb73e0b09fb75c8d41e5e},
intrahash = {cf163eb799dbda08d2cb3776e18cddbd},
keywords = {2007 application_software cognition evaluation human human-computer_interaction inference iswc lesson ontology_(computer_science) research_05 science semantic semantic_web web},
month = {November},
pages = {603--616},
publisher = {Springer Verlag},
series = {LNCS},
timestamp = {2007-11-07T19:20:54.000+0100},
title = {The Semantic Web and Human Inference: A Lesson from Cognitive Science},
url = {http://iswc2007.semanticweb.org/papers/603.pdf},
volume = 4825,
year = 2007
}