Recently, Ontology-Based DataBases (OBDB) have been developed as a solution to store and manipulate, efficiently and in a scalable way, ontologies together with data they describe. Currently, existing OBDBs propose weak solutions to calculate derived (non-canonical) concepts. Indeed, these solutions are internal to the OBDB and specific to the ontology model (formalism) supported. As a consequence, non-canonical concepts can not be in all cases properly defined with the different available mechanisms since existing solutions are not constantly suitable. In this paper, we propose a generic solution which is an extension of OBDBs with the capability to introduce dynamically operators to calculate non-canonical concepts. These operators can be implemented in different ways (e.g. with external programs or with web services). Then, we show the interest of this extension by improving a proposed methodology to design databases storing ontologies. Finally, a prototype implementing our design approach is outlined. © 2012 Springer-Verlag.
CITATION STYLE
Bazhar, Y., Chakroun, C., Aït-Ameur, Y., Bellatreche, L., & Jean, S. (2012). Extending ontology-based databases with behavioral semantics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7566 LNCS, pp. 879–896). https://doi.org/10.1007/978-3-642-33615-7_31
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