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Facilitating DL-based hybrid reasoning with inference fusion.

Hu, Bo; Arana, Inés; Compatangelo, Ernesto


Bo Hu

Inés Arana

Ernesto Compatangelo


We present an extension to DL-based taxonomic reasoning by means of inference fusion, i.e. the dynamic combination of inferences from distributed heterogeneous reasoners. Our approach integrates results from a DL-based system with results from a constraint solver under the direction of a global reasoning coordinator. Inference fusion is performed by (i) processing heterogeneous input knowledge, producing suitable homogeneous input knowledge for each specialised reasoner; (ii) activating each reasoner when necessary, collecting its 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 and demonstrate our ideas by proposing a language ( (D)/S) and a reasoning system (Concor) which uses knowledge bases written in (D)/S and supports hybrid reasoning. We illustrate our ideas with an example.

Journal Article Type Conference Paper
Start Date Dec 10, 2002
Publication Date Jul 31, 2003
Journal Knowledge-based systems
Print ISSN 0950-7051
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 16
Issue 5-6
Pages 42-48
Institution Citation HU, B., ARANA, I. and COMPATANGELO, E. 2003. Facilitating DL-based hybrid reasoning with inference fusion. Knowledge-based systems [online], 16(5-6): proceedings of the 22nd British Computer Society Specialist Group on Artificial Intelligence (SGAI) international conference on knowledge-based systems and applied artificial intelligence (ES2002), 10-12 December 2002, Cambridge, UK, pages 42-48. Available from:
Keywords Descriptive logics; Hybrid reasoning; Constraint reasoning


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