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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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Mapping RDF Databases to Property Graph Databases
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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Storage and Query of Drug Knowledge Graphs Using Distributed Graph Databases: A Case Study [PDF]
Background: 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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Functional querying in graph databases [PDF]
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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Regular Queries on Graph Databases [PDF]
Graph databases are currently one of the most popular paradigms for storing data. One of the key conceptual differences between graph and relational databases is the focus on navigational queries that ask whether some nodes are connected by paths ...
Reutter, Juan L. +2 more
core +13 more sources
biochem4j: Integrated and extensible biochemical knowledge through graph databases. [PDF]
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
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
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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Context-free path querying with all-path semantics using matrices with sets of intermediate vertices [PDF]
The study considers the problem of context-free path querying with all-path query semantics. This problem consists in finding all paths of the graph, the labels on the edges of which form words from the language generated by the input context-free ...
Rustam Sh. Azimov, Semyon V. Grigorev
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GRAPH DATABASE MANAGEMENT SYSTEMS AND GRAPH THEORY [PDF]
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
openaire +1 more source

