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Conference Papers Year : 2022

Inference of Shape Graphs for Graph Databases


We investigate the problem of constructing a shape graph that describes the structure of a given graph database. We employ the framework of grammatical inference, where the objective is to find an inference algorithm that is both sound, i.e., always producing a schema that validates the input graph, and complete, i.e., able to produce any schema, within a given class of schemas, provided that a sufficiently informative input graph is presented. We identify a number of fundamental limitations that preclude feasible inference. We present inference algorithms based on natural approaches that allow to infer schemas that we argue to be of practical importance.
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hal-03559309 , version 1 (06-02-2022)



Benoît Groz, Aurélien Lemay, Slawomir Staworko, Piotr Wieczorek. Inference of Shape Graphs for Graph Databases. International Conference on Database Theory, 2022, Edinbourgh, United Kingdom. ⟨10.4230/LIPIcs.ICDT.2022.7⟩. ⟨hal-03559309⟩
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