A Suggestion-Based RDF Instance Matching System
Mehmet Aydar, Serkan Ayvaz · International Journal of Computer Theory and Engineering · 2017
Thispaper presents a semi-automatic recommendation-based instance matching system using RDF graph data.Based on a graph node similarity algorithm, our instance matching system detects instance nodes with similarities higher than an input threshold value and returns to the user the subject node pairs.The system merges a matched node pair when the user confirms the matched nodes in the results.After a merge, the merged node is also considered as an entity for the following candidate pair generation cycle.The procedure continues until no new matching candidate pairs are recommended by the algorithm and there is no more feedback provided by the user.