Towards semantic resource mashups

Lionel Médini 1 Pierre-Antoine Champin 2, 3 Michael Mrissa 4 Amélie Cordier 2, 3
1 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 TWEAK - Traces, Web, Education, Adaptation, Knowledge
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : This paper presents an architectural framework to build semantic resource mashups that query, process and integrate data from business objects, Linked Open Data sources and Web APIs, as semantic resources. Such resources can be queried locally or distantly in an HTTP-like manner and exchange representations as RDF graphs. We illustrate this work with an application that mashes up sensor and actuator data for the Web of Things.
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01301051
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Submitted on : Monday, April 11, 2016 - 4:28:46 PM
Last modification on : Thursday, January 31, 2019 - 10:45:22 AM

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  • HAL Id : hal-01301051, version 1

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Lionel Médini, Pierre-Antoine Champin, Michael Mrissa, Amélie Cordier. Towards semantic resource mashups. Services and Applications over Linked APIs and Data (SALAD), workshop at ESWC, May 2014, Heraklion, Greece. pp.6-9. ⟨hal-01301051⟩

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