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Inference fusion: a hybrid approach to taxonomic reasoning.

Hu, Bo; Compatangelo, Ernesto; Arana, In�s

Authors

Bo Hu

Ernesto Compatangelo



Contributors

Ingrid Russell
Editor

Susan Haller
Editor

Abstract

We present a hybrid way to extend taxonomic reasoning using inference fusion, i.e. the dynamic combination of inferences from distributed heterogeneous reasoners. Our approach integrates results from a DL-based taxonomic reasoner with results from a constraint solver. Inference fusion is carried out by (i) parsing heterogeneous input knowledge, producing suitable homogeneous subset of the input knowledge for each specialised reasoner; (ii) processing the homogeneous knowledge, collecting the reasoning results and passing them to the other reasoner if appropriate; (iii) combining the results of the two reasoners. We discuss the benefits of our approach to the ontological reasoning and demonstrate our ideas by proposing a hybrid modelling languages, DL(D)=S, and illustrating its use by means of examples.

Citation

HU, B., COMPATANGELO, E. and ARANA, I. 2003. Inference fusion: a hybrid approach to taxonomic reasoning. In Russell, I. and Haller, S. (eds.) Proceedings of the 16th International conference of the Florida Artificial Intelligence Research Society (FLAIRS 2003), 12-14 May 2003, St. Augustine, USA. Palo Alto: AAAI Press [online], pages 103-107. Available from: https://aaai.org/Papers/FLAIRS/2003/Flairs03-021.pdf

Conference Name 16th International conference of the Florida Artificial Intelligence Research Society (FLAIRS 2003)
Conference Location St. Augustine, USA
Start Date May 12, 2003
End Date May 14, 2003
Acceptance Date May 12, 2003
Online Publication Date Dec 31, 2003
Publication Date Dec 31, 2003
Deposit Date Feb 24, 2009
Publicly Available Date Feb 24, 2009
Publisher Association for the Advancement of Artificial Intelligence
Pages 103-107
ISBN 9781577351771
Keywords Taxonomic reasoning; Inference fusion; Ontology reasoning; Description logics
Public URL http://hdl.handle.net/10059/308
Publisher URL https://aaai.org/Papers/FLAIRS/2003/Flairs03-021.pdf

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