A multiobjective optimization based entity matching technique for bibliographic databases

作者：

Highlights：

• Multiobjective based solution framework for entity matching.

• Bibliographic database is used.

• Automatic determination of number of clusters and partitions.

• New encoding strategy, new mutation operators are explored.

• Several distance measures and cluster validity indices are used.

摘要

•Multiobjective based solution framework for entity matching.•Bibliographic database is used.•Automatic determination of number of clusters and partitions.•New encoding strategy, new mutation operators are explored.•Several distance measures and cluster validity indices are used.

论文关键词：Bibliographic database,Entity matching,Multiobjective optimization,Genetic algorithm,Elitism,Pareto-optimal solutions

论文评审过程：Received 10 August 2015, Revised 29 July 2016, Accepted 30 July 2016, Available online 4 August 2016, Version of Record 16 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.043