Attribute Value Matching by Maximizing Benefit
Attribute value matching (AVM) identifies equivalent values that refer to the same entities. Traditional approaches ignore the weights of values in itself. In this demonstration, we present AVM-LB, Attribute Value Matching with Limited Budget, that preferentially matches the hot equivalent values such that the maximal benefit to data consistency can be achieved by limited budget. By defining a rank function and greedily matching the hot equivalent values, the AVM-LB enables users to interactively explore the achieved benefit to data consistency.
KeywordsAttribute Value Matching Entity resolution Hot data Data cleaning Big Data
The work was supported by the Ministry of Science and Technology of China, National Key Research and Development Program (Project Number 2016YFB1000703), the National Natural Science Foundation of China under No. 61732014 No. 61332006, No. 61472321, No. 61502390 and No. 61672432.
- 2.Fan, F., Li, Z., Wang, Y.: Cohesion based attribute value matching. In: 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1–5, October 2017Google Scholar