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Reversible Map** of Relational and Graph Databases
AbstractIn the contemporary world, a large amount of heterogeneous data are accumulated, which have different nature and require specific approaches...
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Adaptive query compilation in graph databases
Compiling database queries into compact and efficient machine code has proven to be a great technique to improve query performance and exploit...
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Pattern Selection for Graph Databases
In the preceding chapters, we emphasize patterns (basic and canned) as the basic building blocks of PnP interfaces. In this chapter, we present a...
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Databases
While the modeling and representation of knowledge are important, storing it efficiently is also crucial. We briefly cover the development of...
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HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases
The big graph database provides strong modeling capabilities and efficient querying for complex applications. Subgraph isomorphism which finds exact...
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Graph Databases
Introduced in SQL Server 2017, the Graph database stores nodes and edges within SQL Server, allowing you to use T-SQL to query graph data. Graph data...
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xDBTagger: explainable natural language interface to databases using keyword map**s and schema graph
Recently, numerous studies have been proposed to attack the natural language interfaces to data-bases (NLIDB) problem by researchers either as a...
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Conceptual Data Normalisation from the Practical View of Using Graph Databases
This article deals with a practical and synthetic view of conceptual modelling. It suggests four graph database normal forms organised into two...
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Privacy Operators for Semantic Graph Databases as Graph Rewriting
Database sanitization allows to share and publish open (linked) data without jeopardizing privacy. During their sanitization, graph databases are...
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NoSQL Databases
This final chapter gives an overview on NoSQL databases. It starts with a definition of the NoSQL concept. Second, key-value stores are simple...
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Databases Theory and Applications 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings
This book constitutes the refereed proceedings of the 34th Australasian Database Conference on Databases Theory and Applications, ADC 2023, held in...
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Enabling Multi-process Discovery on Graph Databases
With the abundance of event data, the challenge of enabling process discovery in the large has attracted the community attention. Several works...
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Tracing security requirements in industrial control systems using graph databases
We must explicitly capture relationships and hierarchies between the multitude of system and security standards requirements. Current security...
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A model and query language for temporal graph databases
Graph databases are becoming increasingly popular for modeling different kinds of networks for data analysis. They are built over the property graph...
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Query-based denormalization using hypergraph (QBDNH): a schema transformation model for migrating relational to NoSQL databases
With the emergence of NoSQL databases, many large applications have migrated from relational databases (RDB) due to their superior flexibility and...
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Multi-Dimensional Event Data in Graph Databases
Process event data is usually stored either in a sequential process event log or in a relational database. While the sequential, single-dimensional...
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SQL and NoSQL Databases Modeling, Languages, Security and Architectures for Big Data Management
This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current...
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Graph Contrastive Learning with Constrained Graph Data Augmentation
Studies on graph contrastive learning, which is an effective way of self-supervision, have achieved excellent experimental performance. Most existing...
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A systematic review of graph-based explorations of PPI networks: methods, resources, and best practices
This systematic review aims to provide a comprehensive overview of graph-based methodologies utilized in the analysis of protein–protein interaction...
