B. Hu, E. Compatangelo, and I. Arana (UK)
Knowledge Representation, Description Logics, Hybrid Reasoning System, Software tools
We present a new approach which extends the expressive and deductive powers of existing Description Logic (DL) based systems using inference fusion - the cooperative rea soning from distributed heterogeneous inference systems. Our approach integrates results from a DL reasoner with results from a constraint solver. Thus, our inference fu sion system (i) fragments heterogeneous input knowledge to generate suitable homogeneous inputs for the DL and constraint reasoners; (ii) passes control to each reasoner, re trieving the results and making them available to the other reasoner for further inferencing; and (iii) dynamically com bines the results of the two reasoners and presents the over all results. We illustrate the main features of inference fu sion using a small example.
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