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Conference papers

Semantic oriented data spaces

Abstract : A data space system is a multi-model data management system that manages data sourced from a variety of local or external sources. The management of data spaces raises new challenges for representing, indexing, sharing and querying possibly distributed collections of heterogeneous and ill-structured data. Semantic approaches are promising for providing the glue between heterogeneous data. The goal of this course is to give an overview of the challenges and existing solutions for representing and exploiting the data semantics in data spaces. We will distinguish centralized approaches based on the mediator model from decentralized approaches of P2P data sharing for online communities connected through overlay networks.
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Submitted on : Friday, February 28, 2014 - 11:03:55 AM
Last modification on : Sunday, June 26, 2022 - 9:34:49 AM


  • HAL Id : hal-00953253, version 1



Marie-Christine Rousset. Semantic oriented data spaces. Invited tutorial at EDBT Summer School on Data and Resource Management in Ambient Computing, 2009, Giens, France. pp.not available. ⟨hal-00953253⟩



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