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UMLtoGraphDB: Mapping Conceptual Schemas to Graph Databases [PDF]
Lecture Notes in Computer Science, 2016 International audienceThe need to store and manipulate large volume of (unstructured) data has led to the development of several NoSQL databases for better scalability.
Gerson Sunyé, Jordi Cabot
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Designing Graph Databases With GRAPHED
Journal of Database Management, 2019In recent years, graph database systems have become very popular and been 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 Cordeiro Galvão Van Erven +5 more
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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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Introduction to Graph Databases
2014The use of graphs in analytic environments is getting more and more widespread, with applications in many different environments like social network analysis, fraud detection, industrial management, knowledge analysis, etc. Graph databases are one important solution to consider in the management of large datasets.
Larriba Pey, Josep +2 more
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2000
Graph data is an emerging model for representing a variety of database contexts ranging from object-oriented databases to hypertext data. Also many of the recursive queries that arise in relational databases are, in practice, graph traversals. In this paper we present a language for searching graph-like databases.
FLESCA, Sergio, GRECO, Sergio
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Graph data is an emerging model for representing a variety of database contexts ranging from object-oriented databases to hypertext data. Also many of the recursive queries that arise in relational databases are, in practice, graph traversals. In this paper we present a language for searching graph-like databases.
FLESCA, Sergio, GRECO, Sergio
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An Empirical Comparison of Graph Databases [PDF]
, 2013 -In recent years, more and more companies provide services that can not be anymore achieved efficiently using relational databases. As such, these companies are forced to use alternative database models such as XML databases, objectoriented databases ...
Valentin Vansteenberghe, Salim Jouili
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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 Cordeiro Galvão Van Erven +3 more
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Proceedings of the 32nd ACM SIGMOD-SIGACT-SIGAI symposium on Principles of database systems, 2013
Graph databases have gained renewed interest in the last years, due to its applications in areas such as the Semantic Web and Social Networks Analysis. We study the problem of querying graph databases, and, in particular, the expressiveness and complexity of evaluation for several general-purpose query languages, such as the regular path queries and ...
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Graph databases have gained renewed interest in the last years, due to its applications in areas such as the Semantic Web and Social Networks Analysis. We study the problem of querying graph databases, and, in particular, the expressiveness and complexity of evaluation for several general-purpose query languages, such as the regular path queries and ...
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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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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 ...
Vitaliy Liptchinsky +3 more
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