Facilitating DL-based hybrid reasoning with inference fusion.
Hu, Bo; Arana, Inés; Compatangelo, Ernesto
We present an extension to DL-based taxonomic reasoning by means of the proposed 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 (DL(D)=S) and a reasoning system (Concor) which uses knowledge bases written in DL(D)=S and supports hybrid reasoning. We illustrate our ideas with an example.
|Start Date||Dec 10, 2002|
|Publication Date||Dec 31, 2002|
|Publisher||Springer (part of Springer Nature)|
|Institution Citation||HU, B., ARANA, I. and COMPATANGELO, E. 2003. Facilitating DL-based hybrid reasoning with inference fusion. In Bramer, M., Preece, A. and Coenen, F. (eds.) Research and development in intelligent systems XIX: proceedings of the 22nd British Computer Society's Specialist Group on Artificial Intelligence (SGAI) international conference on knowledge based systems and applied artificial intelligence (ES2002), 10-12 December 2002, Cambridge, UK. London: Springer [online], pages 91-104. Available from: https://doi.org/10.1007/978-1-4471-0651-7_7|
|Keywords||Inference fusion; DL based taxonomic reasoning|
HU 2002 Facilitating DL-based hybrid
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