Abstract
Exposing data sources throughDaas (Data as a Service) services become increasingly important. The DaaS service discovery constitutes a real challenge in P2P environments. Although several data source discovery methods take into account the semantic heterogeneity problems by using several domain ontologies (DOs), most of them imposed a topology on the graph formed by DOs and mapping links. In this paper, we propose a DaaS Service Discovery (DSD) method without imposing any topology on this graph. Peers, using a common DO, are grouped in a Virtual Organization (VO) and connected in a Distributed Hash Table (DHT). Then, lookups within a same VO consists in a classical search in a DHT. Regarding the inter-VO discovery process, we propose an addressing system, based on the existing mapping links between DOs, to interconnect VOs. Furthermore, a lazy maintenance is adopted in order to reduce the number of messages required to update the system.
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Mokadem, R., Morvan, F., Guegan, C.G., Benslimane, D. (2014). DSD: A DaaS Service Discovery Method in P2P Environments. In: Catania, B., et al. New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-01863-8_15
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DOI: https://doi.org/10.1007/978-3-319-01863-8_15
Publisher Name: Springer, Cham
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