A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
VDoc+: a virtual document based approach for matching large ontologies using MapReduce
2012
Journal of Zhejiang University SCIENCE C
Preserved Fulltext
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
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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