Conflict Resolution in Data Integration Using the Relationship Between Entities

Autor: Zeinab Nakhaei, Ali Ahmadi, Arash Sharifi, Kambiz Badie
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Information and Communication Technology Research, Vol 11, Iss 2, Pp 38-49 (2019)
Druh dokumentu: article
ISSN: 2251-6107
2783-4425
Popis: In this paper, we propose an approach to data fusion to enhance the accuracy of data integration. The proposed approach uses the information in the relationships between entities to find more evidence for the correctness or incorrectness of the values ​​generated by different data sources. We also define some concepts and investigate the different methods for identifying relationships between entities. Then, we consider how to use these relationships to increase the accuracy of the conflict resolution process. Unlike many existing approaches, our proposed approach is at the high level of data abstraction. Using the information there exists at the high levels of data abstraction allows us to provide sufficient evidences where data is incomplete and there is no reliable source for the particular object. The evaluation results show that our proposed approach outperforms existing conflict resolution techniques.
Databáze: Directory of Open Access Journals