A Multi-attribute and Logic-Based Framework of Ontology Alignment

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 183)

Abstract

Ontology alignment is an issue that focuses on designating the way of migrating the contents of two ontologies. These structures can be treated as a method of decomposing some domain of interest and expressing its complexity by describing semantic correlations between extracted elements. The necessity of transforming information stored in two separated, independent ontologies arises when two computer systems incorporating such ontologies need to be integrated. Careful research on previously proposed methods made us think about a novel approach to this task, based on deeper analysis of basic building blocks of concepts, which are their attributes. This chapter is a comprehensive description of our ideas, conceptions and algorithms. We also give a brief commentary on preliminary results that will illustrate our contribution to the topic.

Keywords

Formal Semantic Conjunctive Normal Form Ontology Match String Similarity Ontology Alignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of InformaticsWroclaw University of TechnologyWroclawPoland

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