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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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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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2011
Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such as: chemical compounds, protein networks, social networks, and Semantic Web.
Sherif Sakr, Ghazi Al-Naymat
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Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such as: chemical compounds, protein networks, social networks, and Semantic Web.
Sherif Sakr, Ghazi Al-Naymat
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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 R. Muramudalige +3 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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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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Evolving Database Conceptual Graph Partitioning
2016Algorithms of graph partitioning exploited in conceptual database design were reused to define a methodology of database concept preservation. An algorithm, the concept construction algorithm that relates concept theory to computer science was designed. This algorithm, however, is not suitable for implementation.
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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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