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LinkedImm: a linked data graph database for integrating immunological data [PDF]
BMC Bioinformatics, 2021 Background Many systems biology studies leverage the integration of multiple data types (across different data sources) to offer a more comprehensive view of the biological system being studied. While SQL (Structured Query Language) databases are popular
Syed Ahmad Chan Bukhari +4 more
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Reactome graph database: Efficient access to complex pathway data. [PDF]
PLoS Computational Biology, 2018 Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data.
Antonio Fabregat +9 more
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RELATIONAL DATABASE AND GRAPH DATABASE: A COMPARATIVE ANALYSIS [PDF]
Journal of Process Management and New Technologies, 2017 Since 1970, relational database models have been in use for storing, manipulating and retrieving data. The importance of relational databases is going to decrease due to the exponential growth of data as it is difficult to work with large number of ...
Surajit Medhi, Hemanta K. Baruah
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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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Conversion Method from Relational Database to Graph Database [PDF]
Jisuanji kexue, 2021 Due to the differences between the storage mode of relational database and graph database,during the process of transforming data in relational database to graph database,it is necessary to solve the main problems of edge definition,vertex uniqueness and
E Hai-hong, HAN Peng-hao, SONG Mei-na
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MULTI-RESOLUTION REPRESENTATION USING GRAPH DATABASE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Multi-resolution representation has always been an important and popular data source for many research and applications, such as navigation, land cover, map generation, media event forecasting, etc.
Y. Huang, E. Stefanakis
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GPU-based Graph Analysis and Computation Method for Graph Database [PDF]
Jisuanji gongcheng, 2021 Most of the existing graph databases use CPU-based distributed graph computing engines(such as GraphX) for online analysis operations, but the limited number of CPU cores will lead to low computing efficiency, and the synchronization between clusters ...
QIAN Shangyun, SHAO Zhiyuan, ZHENG Ran, CHEN Jilin
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Modelling Metadata and Data from Censuses and Surveys with Graph Databases
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Relational database users are switching to non-relational databases because non-relational databases are better able to handle dynamic data storage. One of the institutions that require dynamic data storage is Statistics Indonesia (BPS). Currently, data
Alya Faradila, Lutfi Rahmatuti Maghfiroh
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Incremental View Maintenance for Deductive Graph Databases Using Generalized Discrimination Networks [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 Nowadays, graph databases are employed when relationships between entities are in the scope of database queries to avoid performance-critical join operations of relational databases.
Thomas Beyhl, Holger Giese
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Extended Property-level k-vertex Cardinality Constraints Model for Graph Databases
Journal of King Saud University: Computer and Information Sciences, 2023 Graph databases are nowadays considered the most appropriate solution for highly connected domains. Nevertheless, the lack of a fixed schema perplexes the implementation of business rules and inhibits the usage of graph database technology in practical ...
Martina Šestak, Muhamed Turkanović
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