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OntoQL, un langage d'exploitation des bases de données à base ontologique

Abstract : We call Ontology Based DataBase (OBDB) a database that stores data together with the ontologies defining the semantics of these data. In the Semantic Web context, several OBDBs have been proposed. They are associated with languages allowing to query ontologies and data. Specially design for the persistence and querying of Web data, these OBDBs are specific to Web ontology models, they focus on conceptual ontologies and they don't take into account the relational structure of data contained in a database. In this thesis, we propose the OntoQL language to address these problems. This language has three main characteristics that distinguish it from other proposed languages: (1) the OntoQL language is independent of a given ontology model. Indeed, it is based on a core ontology models containing the constructors shared by different ontology models and this core ontology model can be extended by the OntoQL language itself, (2) the OntoQL language exploits the linguistic information that may be associated to a conceptual ontology allowing to express queries in different natural languages and (3) the OntoQL language is compatible with the SQL language and thus, it allows to exploit data at the logical level of an OBDB. Moreover, it extends this language to exploit data at the ontological level, independently of the logical representation of the data, and still to manipulate the structure of these data from this level.
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Contributor : Jean Stéphane Connect in order to contact the contributor
Submitted on : Wednesday, January 2, 2008 - 6:15:18 PM
Last modification on : Wednesday, October 20, 2021 - 3:22:08 AM
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  • HAL Id : tel-00201777, version 1



Stéphane Jean. OntoQL, un langage d'exploitation des bases de données à base ontologique. Interface homme-machine [cs.HC]. Université de Poitiers, 2007. Français. ⟨tel-00201777⟩



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