The KGRAM Abstract Machine for Knowledge Graph Querying

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 expres...

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Bibliographic Details
Published in:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Vol. 1; pp. 338 - 341
Main Authors: Corby, Olivier, Zucker, Catherine Faron
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.2010
Subjects:
Abstract machine
Data models
Data structures
Database languages
Knowledge graphs
Matched filters
Natural Semantics
Query languages
Resource description framework
Semantics
Switches
Syntactics
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ISBN:9781424484829, 1424484820
Online Access:Get full text
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Summary: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.
ISBN:9781424484829
1424484820
DOI:10.1109/WI-IAT.2010.144