FOWLA, A Federated Architecture for Ontologies

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TitreFOWLA, A Federated Architecture for Ontologies
Type de publicationConference Paper
Year of Publication2015
AuteursFarias TM, Roxin A, Nicolle C
EditorBassiliades N, Gottlob G, Sadri F, Paschke A, Roman D
Conference NameRULE TECHNOLOGIES: FOUNDATIONS, TOOLS, AND APPLICATIONS
PublisherShareLaTeX; SIGNAVIO; BINARYPARK; Coherent Knowledge; OASIS LegalXML; Aritificial Intelligence; IFColog; IPA
Conference LocationHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISBN Number978-3-319-21542-6; 978-3-319-21541-9
Mots-clésBackward-chaining reasoning, Federated ontology architecture, Horn-like rules, OWL, Semantic interoperability, SPARQL, SWRL
Résumé

The progress of information and communication technologies has greatly increased the quantity of data to process. Thus, managing data heterogeneity is a problem nowadays. In the 1980s, the concept of a Federated Database Architecture (FDBA) was introduced as a collection of components to unite loosely coupled federation. Semantic web technologies mitigate the data heterogeneity problem, however due to the data structure heterogeneity the integration of several ontologies is still a complex task. For tackling this problem, we propose a loosely coupled federated ontology architecture (FOWLA). Our approach allows the coexistence of various ontologies sharing common data dynamically at query execution through logical rules. We have illustrated the advantages of adopting our approach through several examples and benchmarks. We also compare our approach with other existing initiatives.

DOI10.1007/978-3-319-21542-6_7