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Path Querying in Graph Databases: A Systematic Mapping Study | IEEE Journals & Magazine | IEEE Xplore

Path Querying in Graph Databases: A Systematic Mapping Study


A graphical abstract for Path Querying in Graph Databases: A systematic mapping study.

Abstract:

Path querying refers to the evaluation of path queries in a graph database. New research in this topic is crucial for the development of graph database systems as path qu...Show More

Abstract:

Path querying refers to the evaluation of path queries in a graph database. New research in this topic is crucial for the development of graph database systems as path queries are associated with relevant use-cases and application domains. The aim of this article is to identify and establish what is currently known about path querying in graph databases. To achieve this, we conducted a systematic mapping study (SMS) in which we explored four digital libraries and collected research papers published from 1970 to 2022. These articles were filtered, classified and analyzed to extract quantitative and qualitative information which is presented in this article. Additionally, we provide a concise description of keywords, use-cases and application domains associated with path querying in graph databases.
A graphical abstract for Path Querying in Graph Databases: A systematic mapping study.
Published in: IEEE Access ( Volume: 12)
Page(s): 33154 - 33172
Date of Publication: 01 March 2024
Electronic ISSN: 2169-3536

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