metaphactory for Massive Graphs

Aaron Eberhart,Peter Haase, Wolfgang Schell

ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering(2023)

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摘要
Knowledge Graphs and semantic technologies allow scientists and domain experts to model complex relations between data in a logically structured and machine readable format. metaphactory is a platform that enables users to build these kinds of semantic graphs easily and efficiently. metaphactory uses standards such as RDF in combination with OWL, SKOS, SHACL, and others to provide a flexible endpoint to interact with graphs of varying complexity and expressivity. As part of the Graph-Massivizer project, metaphactory is supporting integration and infrastructure consolidation for components developed in the project. Part of this work is to develop a toolkit which metaphactory uses to process very large graphs without sacrificing sustainability. In this paper we describe in detail the metaphactory platform and how it supports large-scale graph processing in the Graph-Massivizer project, as well as outlining the current efforts within the project and how they aim to increase capabilities in the present to support future work.
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