doi: 10.7763/IJCTE.2017.V9.1170
A Suggestion-Based RDF Instance Matching System
Mehmet Aydar1
,
Serkan Ayvaz2,*
- 1Department of Computer Science, Kent State University, Kent, OH 44240 USA
- 2Department of Software Engineering, Bahcesehir University, Besiktas 34353, Istanbul, Turkey.
Abstract
This paper 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.
Keywords
- Instance Matching
- RDF
- Semantic Web
- Similarity Metrics
How to Cite
Mehmet Aydar and Serkan Ayvaz, "A Suggestion-Based RDF Instance Matching System," International Journal of Computer Theory and Engineering, vol. 9, no. 5, pp. 380-384, 2017. https://doi.org/10.7763/IJCTE.2017.V9.1170
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).