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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ediciones Universidad de Salamanca
2024-06-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/cinco/index.php/2255-2863/article/view/31506 |
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