Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 5 SI
Page No. 4786 - 4793

Recommendation System Enhancement Using Linked Open Data

Authors : Asaad Sabah Hadi

Abstract: The main idea for using the RS (Recommendation System) is suggesting items to the users. These suggestions reflect the user needs. The main problems in designing the recommendation system is knowledge discovery process that is inefficient and incomplete because the knowledge is unstructured and inadequate for finding hidden information. The LOD (Linked Open Data) is a way for publishing and connecting structured data on the web. The main idea of this study is using LOD to enhance the design of recommendation system by using the principle of RDF (Resource Description Framework) as a language for designing linked open data and using the FOAF for defining vocabulary. The FOAF (Friend of A Friend) is community driven effort that is used to define the RDF vocabulary that express the people metadata and their relationship and activities and interest.

How to cite this article:

Asaad Sabah Hadi , 2018. Recommendation System Enhancement Using Linked Open Data. Journal of Engineering and Applied Sciences, 13: 4786-4793.

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