Benchmarking graph database backends : what works well with Wikidata?

Kovács Tibor and Simon Gábor and Mezei Gergely: Benchmarking graph database backends : what works well with Wikidata? In: Acta cybernetica, (24) 1. pp. 43-60. (2019)

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Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime examples, as RDF (Resource Description Framework) uses graph as logical model. Graph databases are an emerging breed of NoSQL-type databases, offering graph operations to process and manipulate data. Although there are specialized databases, the so-called triple stores, for storing RDF data, graph databases can also be promising candidates for storing knowledge. In this paper, we benchmark different graph database implementations loaded with Wikidata, a real-life, large-scale knowledge base. Graph databases come in all shapes and sizes, offer different APIs and graph models. Hence we used a measurement system, that can abstract away the API differences. For the modeling aspect, we made measurements with different graph encodings previously suggested in the literature, in order to observe the impact of the encoding aspect on the overall performance.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2019
Volume: 24
Number: 1
ISSN: 0324-721X
Page Range: pp. 43-60
Language: English
Publisher: University of Szeged, Institute of Informatics
Place of Publication: Szeged
Event Title: Conference of PhD students in computer science (11.) (2018) (Szeged)
Related URLs:
DOI: 10.14232/actacyb.24.1.2019.5
Uncontrolled Keywords: Számítástechnika, Informatika
Additional Information: Bibliogr.: p. 57-60. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2019. Jul. 17. 13:16
Last Modified: 2022. Jun. 21. 09:06

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