| Autor: |
Zhi Yun Zheng, Li Ping Lu, Quan Min Li, Xing Jin Zhang, Xiao Jin |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Advanced Materials Research. :1320-1326 |
| ISSN: |
1662-8985 |
| DOI: |
10.4028/www.scientific.net/amr.1049-1050.1320 |
| Popis: |
This paper proposes a novel parallel computing method of semantic similarity in linked data to solve such problems as low efficiency and data dispersion.It combines the existing similarity calculation method with MapReduce parallel computation framework to design the appropriate parallel computing method of similarity. First, three typical similarity computing methods and the parallel programming models are introduced. Then according to the MapReduce programming techniques of cloud computing, the parallel computation of similarity in linked data is proposed. The experimental results show that, compared with the traditional platforms, the parallel computing method of similarity on the Hadoop cluster not only improves the capacity and efficiency in the processing massive data, but also has a better speed-up ratio and augmentability. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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