Investigating the relationship between artificial intelligence and the Semantic Web and the interaction between them (a review study)

With the increasing development of the web and its various technologies, the speed and breadth of information dissemination has continued, and today we are faced with a huge volume of information that is not easily manageable. Semantic Web provides an opportunity to increase the comprehensibility of the machine by trying to reduce data management and optimize information search.

The present study is a review study. The statistical population of the present study consisted of all related texts searched with the keywords: "Artificial intelligence" and "Semantic web" as well as "Machine learning", "Semantic web" and "Deep learning". A search was made on valid related subject databases. The search period was set from 2001 (the issue of the Semantic Web by Berners-Lee) to 2021. 75 non-Persian documents and 14 Persian documents related to the keywords of the research were extracted and after evaluation, 38 final documents were selected and entered the final analysis stage.

The findings showed that major research in the field of semantic web has become more intense and accurate since 2013 and the main focus of this research is jointly on the components: ontology from the perspective of semantic web and neural networks and learning. It has been deep in the field of machine learning from the perspective of artificial intelligence.

A review of various researches and texts showed that the Semantic Web has acted not only on the meaning of the word, but also on its different terms and applications and the relationship between the terms.