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Experimental Evaluation of Graph Databases: JanusGraph, Nebula Graph, Neo4j, and TigerGraph
Applied Sciences, 2023 NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases.
Jéssica Monteiro +2 more
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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 ...
Renzo Angles +2 more
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EPJ Web of Conferences, 2020 Data in High Energy Physics (HEP) usually consist of complext complex data structures stored in relational databases and files with internal schema.
Hřivnáč Julius
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Storage and Query of Drug Knowledge Graphs Using Distributed Graph Databases: A Case Study [PDF]
BioengineeringBackground: Distributed graph databases are a promising method for storing and conducting complex pathway queries on large-scale drug knowledge graphs to support drug research. However, there is a research gap in evaluating drug knowledge graphs’ storage
Xingjian Han, Yu Tian
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Analysing River Systems with Time Series Data Using Path Queries in Graph Databases
ISPRS International Journal of Geo-Information, 2023 Transportation networks are used in many application areas, like traffic control or river monitoring. For this purpose, sensors are placed in strategic points in the network and they send their data to a central location for storage, viewing and analysis.
Erik Bollen +4 more
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Graph Computing Systems and Partitioning Techniques: A Survey
IEEE Access, 2022 Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other application domains.
Tewodros Alemu Ayall +6 more
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A Graph DB-Based Solution for Semantic Technologies in the Future Internet
Future Internet, 2023 With the progressive improvements in the power, effectiveness, and reliability of AI solutions, more and more critical human problems are being handled by automated AI-based tools and systems.
Stefano Ferilli +3 more
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IEEE Access, 2020 Blockchains are being recently used as a supporting technology framework for decentralized applications requiring functionalities such as exchange of value through tokens, cryptocurrency and smart contracts.
Konstantinos Tsoulias +4 more
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Journal of Open Humanities Data, 2023 This paper attempts to develop a pipeline designed to convert graphical PDF files of the newspaper Zviazda into usable text data in the Belarusian language with search and visualization options.
Loïc Boizou
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A Knowledge Graph Framework for Dementia Research Data
Applied Sciences, 2023 Dementia disease research encompasses diverse data modalities, including advanced imaging, deep phenotyping, and multi-omics analysis. However, integrating these disparate data sources has historically posed a significant challenge, obstructing the ...
Santiago Timón-Reina +4 more
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