Graph Matching in Graph-Oriented Databases

Autor:	Faiez Gargouri, Soumaya Boukettaya, Ahlem Nabli
Rok vydání:	2021
Předmět:	Graph database Theoretical computer science Similarity (geometry) Computer science Data query Process (computing) Mechanism based Graph (abstract data type) Data loss computer.software_genre computer Data migration MathematicsofComputing_DISCRETEMATHEMATICS
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783030711863 ISDA
DOI:	10.1007/978-3-030-71187-0_72
Popis:	Modern graph database management systems use graph structures for semantic queries with nodes, edges, and properties to connect to and store information. Due to their schema-less nature, inappropriate data migration and manipulation can lead to severe data loss during the data query process. Data migration in graph databases strongly depends on graph matching methods to detect similar entities. This article describes a graph matching mechanism based on similarity measures to efficiently migrate data and avoid data loss within the different entities of the graph database.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dfdf2e70a7e83ba76af87562a9369774 https://doi.org/10.1007/978-3-030-71187-0_72 Zobrazit plný text záznamu