An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX

An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX

The volume of data is growing at an astonishingly high speed. Traditional techniques for storing and processing data, such as relational and centralized databases, have become inefficient and time-consuming. Linked data and the Semantic Web make internet data machine-readable. Because of the increas...

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Bibliographic Details
Main Authors: Wria Mohammed Salih Mohammed, Alaa Khalil Jumaa
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2024-06-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
hadoop
semantic web
graphx
linked data
sparql
hdfs
rdf
spark
Online Access:https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31506
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