Concept Learning for $\ensuremath{\ensuremath{\cal E}\ensuremath{\cal L}^{++}}$ by Refinement and Reinforcement

Author:

Chitsaz Mahsa,Wang Kewen,Blumenstein Michael,Qi Guilin

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Baader, F., Brandt, S., Lutz, C.: Pushing the $\mathcal{EL}$ Envelope. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence, pp. 364–369 (2005)

2. Baader, F., Lutz, C., Suntisrivaraporn, B.: Efficient Reasoning in $\mathcal{EL^{++}}$ . In: Proceedings of the 2006 International Workshop on Description Logics, vol. 189 (2006)

3. Lecture Notes in Artificial Intelligence;N. Fanizzi,2008

4. Fanizzi, N., Ferilli, S., Iannone, L., Palmisano, I., Semeraro, G.: Downward Refinement in the $\mathcal{ALN}$ Description Logic. In: Proceedings of the 4th International Conference on Hybrid Intelligent Systems, pp. 68–73. IEEE Computer Society Press (2004)

5. Iannone, L., Palmisano, I., Fanizzi, N.: An Algorithm Based on Counterfactuals for Concept Learning in the Semantic Web. Applied Intelligence 26(2), 139–159 (2007)

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