Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms

作者：

Highlights：

• The existing algorithms are not agile enough to adapt to different data structures.

• ML approaches are compared to determine suitable ones for the search process.

• Neural foresting method is proposed to increases the accuracy of the search results.

摘要

•The existing algorithms are not agile enough to adapt to different data structures.•ML approaches are compared to determine suitable ones for the search process.•Neural foresting method is proposed to increases the accuracy of the search results.

论文关键词：Big data analytics,Digital heritage,Search engine,Machine learning,Neural network,Neural foresting

论文评审过程：Received 7 December 2018, Revised 3 March 2020, Accepted 10 May 2020, Available online 30 May 2020, Version of Record 16 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113559