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This paper proposes an auto-tagging methodology using tags defined in the ontology. The auto-tagging methodology consists of two main processes: Classification process and tag selection process. | Vietnam J Comput Sci 2015 2 85-94 DOI 10.1007 s4O595-014-0033-6 REGULAR PAPER An ontology-based approach to auto-tagging articles Gridaphat Sriharee Received 6 June 2014 Accepted 5 November 2014 Published online 20 November 2014 The Author s 2014. This article is published with open access at Springerlink.com Abstract This paper proposes an auto-tagging methodology using tags defined in the ontology. The auto-tagging methodology consists of two main processes classification process and tag selection process. The classification process concerns semantic analysis which includes the termweight matrix and cosine similarity. The tag selection process focuses on the selection of appropriate ontological tag tag defined in the ontology for the article. The ontology weight computing is proposed for tag suggestion. A technique for ontology building using blog articles is also presented as well as an extensive experiment. The experiment results show that the proposed approach is an alternative methodology for auto-tagging articles in which the obtained tag is not just the piece of text but it presents the meaning of the articles. Keywords Tag Tagging Auto-tagging Ontology 1 Introduction Tagging is a mechanism for linking to relevant resources. Tagging is implemented in internet forums blogs collaboration systems e.g. Wikipedia and social networks e.g. Flickr . The tag can be in-text keyword e.g. 1 Wikipedia or out-of-text keyword labeled by word or phrase. The in-text keyword tagging methodology focuses on some keywords in the content that may link to other resources. In contrast the out-of-text keyword maintains tags out of the content body. Tagging in article sharing system is similar to keyword indexing of web search system. However the tagging is focused on on-site retrieval particularly. The user specifies keyword G. Sriharee B Department of Computer and Information Science King Mongkut s University of Technology North Bangkok 1518 Pibulsongkram Road Bangsur Bangkok .
