Paper Info
Title
Rule-Based Entity Resolution on Database with Hidden Temporal Information (Extended Abstract)
Abstract
In this paper, we deal with the problem of rule-based entity resolution on imprecise temporal data. We use record matching dependencies and data currency constraints to derive temporal records' information and trend of their attributes' evolvement with elapsing of time. We firstly block records into smaller blocks, and then by exploring data currency constraints. We propose a temporal clustering approach with two steps, i.e., the skeleton clustering and the banding clustering. Experiments show that our method achieves both high accuracy and efficiency with hidden temporal information on datasets without imprecise timestamps.
Year
DOI
Venue
2019
10.1109/ICDE.2019.00266
2019 IEEE 35th International Conference on Data Engineering (ICDE)
Keywords
Field
DocType
Erbium,Currencies,Merging,Clustering algorithms,Databases,Skeleton,Patents
Data mining,Rule-based system,Name resolution,Computer science,Temporal database,Timestamp,Merge (version control),Cluster analysis,Database
Conference
ISSN
ISBN
Citations 
1084-4627
978-1-5386-7474-1
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Hongzhi Wang142173.72
Xiaoou Ding222.38
Jianzhong Li36324.23
Hong Gao41086120.07