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Mapping RDF Databases to Property Graph Databases [PDF]
IEEE Access, 2020 RDF triplestores and property graph databases are two approaches for data management which are based on modeling, storing and querying graph-like data. In spite of such common principle, they present special features that complicate the task of database interoperability.
Harsh Thakkar +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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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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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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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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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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Investigative Graph Search using Graph Databases
2019 First International Conference on Graph Computing (GC), 2019Identification and tracking of individuals or groups perpetrating latent or emergent behaviors are significant in home-land security, cyber security, behavioral health, and consumer analytics. Graphs provide an effective formal mechanism to capture the relationships among individuals of interest as well as their behavior patterns.
Shashika Ranga Muramudalige +3 more
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Attack Graph Implementation in Graph Database
2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY), 2022Gabriella Simon-Nagy +2 more
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