Ontology and web usage mining for website maintenance

被引：0
|
作者：
Benali, Khaled [1 ]
机构：
[1] Univ Tahri Mohammed Bechar, Dept Comp Sci, Bechar, Algeria
来源：
INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT | 2022年 / 14卷 / 04期
关键词：
apriori; knowledge; log file; semantic web; ontology; web usage mining; WUM; website maintenance; DOMAIN ONTOLOGIES;
D O I：
10.1504/IJDMMM.2022.10051604
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The web mining and the semantic web are closely linked: on the one hand, web-mining techniques help in the construction of the semantic web on the other hand; the semantic web helps extract new knowledge. The present article presents an approach that uses ontology and web usage mining techniques for website maintenance. This work can help novice researchers start working enriched based on the extracted patterns on the site logs using an algorithm for maintain the website.
引用
收藏
页码：372 / 400
页数：30
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