The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Downward Refinement in the ALN Description Logic
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
Semiautomatic extension of CoreNet using a bootstrapping mechanism on corpus-based co-occurrences
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Integrating description logics and action formalisms: first results
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Aspects of automatic ontology extension: adapting and regeneralizing dynamic updates
AOW '06 Proceedings of the second Australasian workshop on Advances in ontologies - Volume 72
Learning from Inconsistencies in an Integrated Cognitive Architecture
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
I-Cog: a computational framework for integrated cognition of higher cognitive abilities
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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Ontologies are usually considered as static data structures representing conceptual knowledge of humans. For certain types of applications it would be desirable to develop an algorithmic adaptation process that allows dynamic modifications of the ontology in the case new information is available. Dynamic updates can generate conflicts between old and new information resulting in inconsistencies. We propose an algorithm that can model the adaptation processes for conflicting and non-conflicting updates defined on $\mathcal{ALE}$-TBoxes.