Results 1 to 10 of about 388,640 (259)
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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Advantages of using graph databases to explore chromatin conformation capture experiments [PDF]
BMC Bioinformatics, 2021 Background High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of DNA interactions and 3D chromosome folding at the genome-wide scale. Usually, these data are represented as matrices describing the binary contacts among the
Daniele D’Agostino +3 more
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Functional querying in graph databases [PDF]
Vietnam Journal of Computer Science, 2017 The paper is focused on a functional querying in graph databases. We consider labelled property graph model and mention also the graph model behind XML databases. An attention is devoted to functional modelling of graph databases both at a conceptual and
Jaroslav Pokorný
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biochem4j: Integrated and extensible biochemical knowledge through graph databases. [PDF]
PLoS ONE, 2017 Biologists and biochemists have at their disposal a number of excellent, publicly available data resources such as UniProt, KEGG, and NCBI Taxonomy, which catalogue biological entities. Despite the usefulness of these resources, they remain fundamentally
Neil Swainston +13 more
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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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Mapping RDF Databases to Property Graph Databases
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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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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GRAPH DATABASE MANAGEMENT SYSTEMS AND GRAPH THEORY [PDF]
Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture, 2020 In recent years, graph databases have become far more important. They have been proven to be an excellent choice for storing and managing large amounts of interconnected data. Since graph databases (GDB) rely on a graph data model based on graph theory, this study examines whether currently available graph database management systems support the ...
Kornelije Rabuzin +2 more
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