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A logic-based incremental approach to graph repair featuring delta preservation

  • We introduce a logic-based incremental approach to graph repair, generating a sound and complete (upon termination) overview of least-changing graph repairs from which a user may select a graph repair based on non-formalized further requirements. This incremental approach features delta preservation as it allows to restrict the generation of graph repairs to delta-preserving graph repairs, which do not revert the additions and deletions of the most recent consistency-violating graph update. We specify consistency of graphs using the logic of nested graph conditions, which is equivalent to first-order logic on graphs. Technically, the incremental approach encodes if and how the graph under repair satisfies a graph condition using the novel data structure of satisfaction trees, which are adapted incrementally according to the graph updates applied. In addition to the incremental approach, we also present two state-based graph repair algorithms, which restore consistency of a graph independent of the most recent graph update and whichWe introduce a logic-based incremental approach to graph repair, generating a sound and complete (upon termination) overview of least-changing graph repairs from which a user may select a graph repair based on non-formalized further requirements. This incremental approach features delta preservation as it allows to restrict the generation of graph repairs to delta-preserving graph repairs, which do not revert the additions and deletions of the most recent consistency-violating graph update. We specify consistency of graphs using the logic of nested graph conditions, which is equivalent to first-order logic on graphs. Technically, the incremental approach encodes if and how the graph under repair satisfies a graph condition using the novel data structure of satisfaction trees, which are adapted incrementally according to the graph updates applied. In addition to the incremental approach, we also present two state-based graph repair algorithms, which restore consistency of a graph independent of the most recent graph update and which generate additional graph repairs using a global perspective on the graph under repair. We evaluate the developed algorithms using our prototypical implementation in the tool AutoGraph and illustrate our incremental approach using a case study from the graph database domain.show moreshow less

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Metadaten
Author details:Sven SchneiderORCiDGND, Leen LambersORCiDGND, Fernando OrejasORCiD
DOI:https://doi.org/10.1007/s10009-020-00584-x
ISSN:1433-2779
ISSN:1433-2787
Title of parent work (English):International journal on software tools for technology transfer : STTT
Publisher:Springer
Place of publishing:Berlin ; Heidelberg
Publication type:Article
Language:English
Date of first publication:2021/06/19
Publication year:2021
Release date:2023/06/20
Tag:Consistency; Delta preservation; Graph databases; Graph repair; Model repair; Model-driven; Nested graph conditions; engineering; restoration
Volume:23
Issue:3
Number of pages:42
First page:369
Last Page:410
Organizational units:An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH
DDC classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Peer review:Referiert
License (German):License LogoCC-BY - Namensnennung 4.0 International
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