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: method, structures, 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 man-made intelligence examine and improvement because 1984. The convention covers the complete variety of subject matters in man made intelligence (AI) and similar disciplines and gives an excellent discussion board for overseas medical trade among Central/Eastern Europe and the remainder of the area. The 2010 AIMSA variation persevered this practice. For AIMSA 2010, we made up our minds to put certain emphasis at the program and leverage of AI applied sciences within the context of information societies the place wisdom production, gaining access to, buying, and sharing empower contributors and groups. a few AI thoughts play a key function in responding to those demanding situations. AI is - tensively utilized in the improvement of structures for potent administration and versatile and customized entry to massive wisdom bases, within the Semantic internet 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 assisting (human and agent) studying, and so forth. In construction such clever purposes, AI concepts are usually mixed with effects from different disciplines reminiscent of the social sciences, disbursed structures, databases, electronic libraries, info retrieval, service-oriented purposes, 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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Reasoning Web. Semantic Technologies for Information Systems. LNCS, vol. 5689, pp. 255–356. Springer, Heidelberg (2009) 5. : Tractable reasoning and efficient query answering in description logics: The DL-Lite family. J. of Automated Reasoning 39(3), 385–429 (2007) 6. : OWL 2: The next step for OWL. J. of Web Semantics 6(4), 309–322 (2008) 7. : Ontobroker: Ontology based access to distributed and semi-structured information. , Stevens, S. ) Database Semantic: Semantic Issues in Multimedia Systems, ch.

T. the size of the output ontology. 0. The core algorithm of these modules can work in two modes: Expressive Approximations in DL-Lite Ontologies 29 Simple Approximations. This is the algorithm from [13], extended with the ability to capture qualified existential restrictions of length 1 on the right-hand side of concept inclusions. This mode provides sound approximations, which however are incomplete for DL-LiteA due to the reasons we have explained above; Complete approximations. This is the algorithm presented in this paper.

Concept inclusions of the form B ∃R1 . . B are called chain inclusions, and n is the length of the chain inclusion. 3 Semantic Approximation from OWL 2 to DL-LiteA We start by providing the formal definition of the problem we are addressing, that is we define the notion of sound and complete approximation. Let L be a description logic. An L axiom is an axiom allowed in L, and an L TBox is a TBox that contains only L axioms. The signature Σ of an L TBox T is the alphabet of concept, role, and individual names occurring in T .

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