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VDoc+: a virtual document based approach for matching large ontologies using MapReduce

Hang Zhang, Wei Hu, Yu-zhong Qu
2012 Journal of Zhejiang University SCIENCE C  
To deal with this issue, we propose a three-stage MapReduce-based approach V-Doc+ for matching large ontologies, based on the MapReduce framework and virtual document technique.  ...  A word-weight-based partitioning method is proposed in the third stage to conduct parallel similarity calculation using the term frequency-inverse document frequency (TF-IDF) model.  ...  Hu et al. (2008) proposed a divide-andconquer based partitioning approach for large ontologies, and integrated it into the OM tool Falcon-AO.  ... 
doi:10.1631/jzus.c1101007 fatcat:qceairc23beltlp3b4mmlf7eku

A Novel Large-scale Chinese Encyclopedia Knowledge Parallel Refining Method Based on MapReduce

Ting Wang, Jie Li, Jiale Guo, Jingyao Xie
2019 IEEE Access  
Therefore, this paper proposes a novel parallel algorithm for Chinese large-scale knowledge refinement based on MapReduce to further improve the overall system computing speed through parallel optimization  ...  of entries, which requires for refining and denoising of large-scale knowledge to improve the precision of Knowledge Base (KB).  ...  ACKNOWLEDGEMENTS Furthermore, we are also appreciated our college for providing us 9 high-performance servers to run our MapReduce jobs.  ... 
doi:10.1109/access.2019.2934747 fatcat:trx4gu2elfga3g6y2uvoiukvoa