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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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4th ACM Europe Summer School on Science: Towards building the Data Science Stack, 2023
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Graph Pattern Index for Neo4j Graph Databases
2019Nowadays graphs have become very popular in domains like social media analytics, healthcare, natural sciences, BI, networking, etc. Graph databases (GDB) allow simple and rapid retrieval of complex graph structures that are difficult to model in traditional information systems based on a relational DBMS.
Jaroslav Pokorný +2 more
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A model and query language for temporal graph databases
VLDB Journal, 2021Valeria Soliani +2 more
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