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The KGRAM Abstract Machine for Knowledge Graph Querying

Olivier Corby 1, 2, 3 Catherine Faron Zucker 1
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis
3 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : —In this paper we present the KGRAM abstract machine dedicated to querying knowledge graphs. It is the result of an abstraction process we performed to reach a generic solution to the problem of querying graphs in various models. We identified high level abstract primitives that constitute the expressions of the query language and the interfaces of KGRAM for both its data structures and its operations.
Keywords : Knowledge graphs Query languages Abstract machine Natural Semantics
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https://hal.inria.fr/hal-01529737
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CNRS | UNICE | WIMMICS | INRIA | I3S | UNIV-COTEDAZUR

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Olivier Corby, Catherine Faron Zucker. The KGRAM Abstract Machine for Knowledge Graph Querying. Web Intelligence and Intelligent Agent Technology, Aug 2010, Toronto, Canada. pp.338 - 341, ⟨10.1109/WI-IAT.2010.144⟩. ⟨hal-01529737⟩

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