Artificial Intelligence: Methodology, Systems, and by Khalil Ben Mohamed, Michel Leclère, Marie-Laure Mugnier

By Khalil Ben Mohamed, Michel Leclère, Marie-Laure Mugnier (auth.), Darina Dicheva, Danail Dochev (eds.)

The 14th foreign convention on synthetic Intelligence: technique, platforms, functions (AIMSA 2010) used to be held in Varna, Bulgaria, in the course of September 8–10, 2010. The AIMSA convention sequence has supplied a biennial discussion board for the presen- tion of synthetic intelligence examine and improvement when you consider that 1984. The convention covers the entire variety of subject matters in man made intelligence (AI) and similar disciplines and offers an amazing discussion board for foreign clinical trade among Central/Eastern Europe and the remainder of the area. The 2010 AIMSA variation endured this practice. For AIMSA 2010, we made up our minds to put exact emphasis at the software and leverage of AI applied sciences within the context of information societies the place wisdom production, gaining access to, buying, and sharing empower participants and groups. a few AI innovations play a key position in responding to those demanding situations. AI is - tensively utilized in the advance of structures for potent administration and versatile and customized entry to massive wisdom bases, within the Semantic net applied sciences that let sharing and reuse of and reasoning over semantically annotated assets, within the rising social Semantic net functions that reduction people to collaboratively construct semantics, within the development of clever environments for aiding (human and agent) studying, and so forth. In development such clever functions, AI thoughts are usually mixed with effects from different disciplines akin to the social sciences, dispensed platforms, databases, electronic libraries, info retrieval, service-oriented functions, etc.

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Extra resources for Artificial Intelligence: Methodology, Systems, and Applications: 14th International Conference, AIMSA 2010, Varna, Bulgaria, September 8-10. 2010. Proceedings

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Let T be an OWL 2 TBox of role depth k, and T the TBox obtained from T according to Definition 2. B , where B, B are basic concepts of T , and S is a chain of roles of T (of arbitrary length). Then there are chains S1 , . . , Sm of roles of T , all of length at most k, and basic concepts B0 , . . Bi for 1 ≤ i ≤ m. 2 Constructing a DL-LiteA TBox Now, using T , we show how to construct a DL-LiteA TBox TA that is a sound and complete approximation of T . Definition 3. Let T be an OWL 2 TBox of role depth k, and T the TBox obtained from T according to Definition 2.

Botoeva, D. Calvanese, and M. Rodriguez-Muro is non trivial, since in principle there can be an infinite number of these entailments. ∃R2 . . A. Hence, it is clear that the naive approach of enumerating all possible entailments is not viable for DL-LiteA . However, we show that we can preprocess the original ontology by introducing new concepts so that we can resort to checking the existence of chains of a limited length (determined by the role depth in the original ontology), and therefore, limit the number of entailments that we need to check.

1434–1439 (2007) Expressive Approximations in DL-Lite Ontologies 31 14. : Completeness guaranteed approximations for OWL-DL query answering. In: Proc. of DL 2009. CEUR, vol. org 15. : Linking data to ontologies. J. on Data Semantics X, 133–173 (2008) 16. : Ontology-based database access with DIGMastro and the OBDA Plugin for Prot´eg´e. F. ) Proc. of OWLED 2008 DC (2008) 17. : Soundness preserving approximation for TBox reasoning. In: Proc. of AAAI 2010 (2010) 18. : Knowledge compilation and theory approximation.

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