Rule-based Recommendation System based on Semantic Web of Things

Ahmed Salama, Masoud E. Shaheen, Haytham Alfeel
2020 International journal of engineering research and technology  
Social networking has certainly been the most apparent concept of virtual human life where all users may communicate with each other. Thus all users of social networks aim to handle and monitor the demands of their lives through their platforms for virtual lifestyle. And since the Internet of Things is now considered one of the latest technologies which connect everything around us together as objects in the form of an IP address that enables contact between them. On the other side, IoT also
more » ... uggles from the variability of data obtained from various sensors. Addressing this problem includes the alignment of semantic web technology. We, therefore, aim to take advantage of the Internet of Things and Semantic Web technologies revolution by developing an integrated model based on the semantic web. Through our proposed research, we intend to create a rule-based recommendation framework that advises users to take the most convenient action that IoT applications should execute on their current social network activities utilizing the built-in definition logic rules. By virtue of this social recommender, Users of IoT applications can monitor their apps only by communicating their social status via their social media instead of using special IoT apps on their mobile devices. As a result, there is more integration between IoT resources and Social Network resources.
doi:10.37624/ijert/13.6.2020.1455-1465 fatcat:pkxbuomk4nfg7kcwbhjyvtd2z4