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Hierarchical inference applied to Cyc

Author
Garcia-Gasulla, D.; Cortes, U.
Type of activity
Presentation of work at congresses
Name of edition
16th International Conference of the Catalan Association for Artificial Intelligence
Date of publication
2013
Book of congress proceedings
Artificial intelligence research and development : proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence
First page
1
Last page
4
Publisher
IOS PRESS-ECSC, BRUXELLES
Repository
http://hdl.handle.net/2117/22882 Open in new window
Abstract
Hierarchical graphs are a frequent solution for capturing symbolic data due the importance of hierarchies for defining knowledge. In these graphs, relations among elements may contain large portions of the element’s semantics. However, knowledge discovery based on analyzing the patterns of hierarchical relations is rarely used. We outline four inference based algorithms exploiting semantic properties of hierarchically represented knowledge for producing new links, and test one of them on a gen...
Citation
Garcia-Gasulla, D.; Cortes, C. Hierarchical inference applied to Cyc. A: Congrés Internacional de l’Associació Catalana d’Intel·ligència Artificial. "Artificial intelligence research and development : proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence". Vic: IOS PRESS-ECSC, BRUXELLES, 2013, p. 1-4.
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

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