Results 21 to 30 of about 3,684,752 (344)
Neo4j graph database realizes efficient storage performance of oilfield ontology. [PDF]
The integration of oilfield multidisciplinary ontology is increasingly important for the growth of the Semantic Web. However, current methods encounter performance bottlenecks either in storing data and searching for information when processing large ...
Gong F +5 more
europepmc +2 more sources
BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources. [PDF]
BackgroundSeveral online databases provide a large amount of biomedical data of different biological entities. These resources are typically stored in systems implementing their own data model, user interface and query language.
Messina A +4 more
europepmc +2 more sources
A Graph-Rewriting Visual Language for Database Programming [PDF]
Textual database programming languages are computationally complete, but have the disadvantage of giving the user a non-intuitive view of the database information that is being manipulated.
Peter Rodgers, Preston King
openalex +4 more sources
Conversion Method from Relational Database to Graph Database [PDF]
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
doaj +1 more source
MULTI-RESOLUTION REPRESENTATION USING GRAPH DATABASE [PDF]
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
doaj +1 more source
Nebula Graph: An open source distributed graph database [PDF]
This paper introduces the recent work of Nebula Graph, an open-source, distributed, scalable, and native graph database. We present a system design trade-off and a comprehensive overview of Nebula Graph internals, including graph data models, partitioning
Min Wu +4 more
semanticscholar +1 more source
GPU-based Graph Analysis and Computation Method for Graph Database [PDF]
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
doaj +1 more source
Columnar Storage and List-based Processing for Graph Database Management Systems [PDF]
We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs).
Pranjal Gupta +2 more
semanticscholar +1 more source
Testing Graph Database Engines via Query Partitioning
Graph Database Management Systems (GDBMSs) store data as graphs and allow the efficient querying of nodes and their relationships. Logic bugs are bugs that cause a GDBMS to return an incorrect result for a given query (e.g., by returning incorrect nodes ...
Matteo Kamm +3 more
semanticscholar +1 more source
Modelling Metadata and Data from Censuses and Surveys with Graph Databases
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).
Alya Faradila, Lutfi Rahmatuti Maghfiroh
doaj +1 more source

