Cited By
View all- Pokorný JValenta MTroup M(2019)Graph Pattern Index for Neo4j Graph DatabasesData Management Technologies and Applications10.1007/978-3-030-26636-3_4(69-90)Online publication date: 20-Jul-2019
Graph Patterns Indexes: their Storage and Retrieval
Pages 221 - 225
Abstract
We propose a method for indexing graph patterns within a graph database. A graph database consists of a labelled property graph. The index is organized in a hash table and stored in the different database than the database graph. The method enables to create, use, and update indexes that are used to speed-up the process of matching graph patterns. The prototype implementing the method was analyzed for Neo4j graph database engine. Pattern indexes are stored in the embedded database MapDB. Three graph databases are used for experiments with pattern indexes. The paper provides a comparison between queries with and without using indexes.
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Index Terms
- Graph Patterns Indexes: their Storage and Retrieval
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Published In
November 2018
419 pages
ISBN:9781450364799
DOI:10.1145/3282373
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Published: 19 November 2018
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iiWAS2018: 20th International Conference on Information Integration and Web-based Applications & Services
November 19 - 21, 2018
Yogyakarta, Indonesia
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View all- Pokorný JValenta MTroup M(2019)Graph Pattern Index for Neo4j Graph DatabasesData Management Technologies and Applications10.1007/978-3-030-26636-3_4(69-90)Online publication date: 20-Jul-2019
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