Semantic web oriented personalized electronic commerce product suggestion system

Year 2023, Volume: 7 Issue: 2, 82 - 88, 20.06.2023

Fatih Çağatay Baz , Hilmi Cihan Meral

https://doi.org/10.26701/ems.1261229

Abstract

With the studies on semantic web technology, the interest in this technology has increased over time. Today, the importance of data has increased to be used for purposes such as optimization, increasing user experience and improving. This increase has brought with it the need for readability of data. At this point, the semantic web has increased the readability of information by putting large data sets in a format that machines can interpret like humans. In this study, an electronic commerce system has been developed that can suggest related products to users by making use of the literature review in which semantic web technology is used. In the system development phase, firstly accepted ontology creation methods were examined, and a method was selected to create the needed ontology. Within the scope of the study, first, the capabilities of the semantic web to meet the technological needs are introduced. Then the semantic web and the technologies used in it are explained. In addition, the tools needed to develop applications with the semantic web are explained. Application development steps are explained in the study. Information about the successfully developed system is given and thus the use of semantic web is exemplified. Finally, suggestions were shared to improve the designed system. Due to the rapid developments in electronic commerce in recent years, it can be stated that this study is important.

Keywords

Electronic Commerce, Semantic Web, Ontology, Web 3.0

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