A Method of Extracting The Semi-structured Data Implication Rules
Lin Yang, Zhou Jun, Mei Hongyan, Zhang Zhongwei, Feng Zhanfang · Procedia Computer Science · 2018
The semi-structured data is a data form between structured data and unstructured data. Now it has been extensively used at the internet platforms and implied a lot of valuable information. In view of the semi-structured data implication rules, the paper discussed a method of extracting the semi-structured data implication rules, and designed the genetic algorithm SDIR of the semi-structured data implication rules based on the method of data conversion and genetic algorithm. Using network crawler tools to complete the semi-structured data collection and data conversion, the experiment verifies it’s effective in implication rules by crawling the data of “Dianping.com”.