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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Veröffentlicht in:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Jg. 1; S. 338 - 341
Hauptverfasser: Corby, Olivier, Zucker, Catherine Faron
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2010
Schlagworte:
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
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Beschreibung
Zusammenfassung: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