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Data Science Journal
The object of our research is to develop an ontology-based agricultural knowledge fusion method that can be used as a comprehensive basis on which to solve agricultural information inconsistencies, analyze data, and discover new knowledge. A recent survey has provided a detailed comparison of various fusion methods used with Deep Web data (Li, 2013) . In this paper, we propose an effective agricultural ontology-based knowledge fusion method by leveraging recent advances in data fusion, such asdoi:10.5334/dsj-2015-007 fatcat:3dqty7rokvbsnpluwpx3ez2x2i