Efficient processing of huge amounts of data has become one of major challenges during recent years. Two of the main approaches are parallel relational databases and non-relational data processing systems. Another ecosystem of promising technologies is Semantic Web, which provides theoretic and technological basis for distributed knowledge representation and reasoning. The paper represents an approach of using MapReduce paradigm for processing of RDF data.
oai:noad.sci.am:136002
Institute of Informatics and Automation Problems
10 th International Conference on Computer Science and Information Technologies CSIT 2015
Mar 3, 2021
Jul 29, 2020
17
https://noad.sci.am/publication/149616
Edition name | Date |
---|---|
Tigran Shahinyan, Parallel Processing of RDF Data in a Distributed Environment | Mar 3, 2021 |