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Graph Matching in Graph-Oriented Databases
2021Modern 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.
Soumaya Boukettaya +2 more
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Crowdstore: A Crowdsourcing Graph Database
2016Existing crowdsourcing database systems fail to support complex, collaborative or responsive crowd work. These systems implement human computation as independent tasks published online, and subsequently chosen by individual workers. Such pull model does not support worker collaboration and its expertise matching relies on workers’ subjective self ...
Liptchinsky, Vitaliy +3 more
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GRAPHED: A Graph Description Diagram for Graph Databases
2018Within recent years, graph database systems have become very popular and deployed mainly in situations where the relationship between data is significant, such as in social networks. Although they do not require a particular schema design, a data model contributes to their consistency.
Gustavo Van Erven +3 more
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A comparison of a graph database and a relational database
Proceedings of the 48th Annual Southeast Regional Conference, 2010Relational databases have been around for many decades and are the database technology of choice for most traditional data-intensive storage and retrieval applications. Retrievals are usually accomplished using SQL, a declarative query language. Relational database systems are generally efficient unless the data contains many relationships requiring ...
Chad Vicknair +5 more
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IEEE Engineering in Medicine and Biology Magazine, 1995
We have investigated using graphs as the foundation for database systems by developing a graph-based DBMS. We have demonstrated that: 1. Graph-based representations are useful for representing genome data. 2. A graph data model tailored to the requirements of genome data can be used as the basis of a database management system. 3.
M. Graves, E.R. Bergeman, C.B. Lawrence
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We have investigated using graphs as the foundation for database systems by developing a graph-based DBMS. We have demonstrated that: 1. Graph-based representations are useful for representing genome data. 2. A graph data model tailored to the requirements of genome data can be used as the basis of a database management system. 3.
M. Graves, E.R. Bergeman, C.B. Lawrence
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Graph Databases and Graph Neural Networks
Journal of Integrated Information ManagementPurpose - Nowadays, social networks, online media sharing and e-commerce platforms generate a vast amount of data, which, among other information, capture the interactions among the users. Storing, analyzing and exploiting the aforementioned information allow the exploration of hidden and unstructured patterns.
Tsolakidis, Stratos +4 more
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Conceptual and Database Modelling of Graph Databases
Proceedings of the 20th International Database Engineering & Applications Symposium on - IDEAS '16, 2016Comparing graph databases with traditional, e.g., relational databases, some important database features are often missing there. Particularly, a graph database schema including integrity constraints is not explicitly defined, also a conceptual modelling is not used at all.
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Modal Schema Graphs for Graph Databases
2019Although graph databases are conceived schema-less, additional knowledge about the data’s structure and/or semantics is beneficial in many graph database management tasks, from efficient storage, over query optimization, up to data integration. Today’s commonly used graph data models do not represent primal suspects regarding their lack of schema prior
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