Abstract
It is feasible to collect individual user interests from social networking services. However, there have been few studies of the interests of domain users. In this paper, we propose an approach for ontology generating the interests of SNS domain users by employing semantic web technology and ID3 algorithm.In our approach, domain ontology is generated by a decision tree, which classifies the domain web pages and the domain users. Experimental test shows ontology of the interests of domains users regarding USA presidential candidates. We expect that our results will be beneficial in the field of computer science, such as recommendations, as well as other fields including education, politics, and commerce. Proposed approach overcomes the problem of domain user classification and lack of semantics by composing decision tree and semantic web technology.
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Sohn, JS., Wang, Q., Chung, IJ. (2013). Generation of User Interest Ontology Using ID3 Algorithm in the Social Web. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_128
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DOI: https://doi.org/10.1007/978-94-007-5860-5_128
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