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However, the tag characteristics deteriorate the quality of tag-based image retrieval and decrease the reliability of social multimedia sites. In this article, we propose a semantic tag recommendation technique exploiting associated words that are semantically similar or related to each other using the interwiki links of Wikipedia. First, we generate a word relationship graph after extracting meaningful words from each article in Wikipedia. The candidate words are then rearranged according to importance by applying a link-based ranking algorithm and then the top-k words are defined as the associated words for the article. When a user uploads an image, we collect visually similar images from a social image database. After propagating the proper tags from the collected images, we recommend associated words related to the candidate tags. Our experimental results show that the proposed method can improve the accuracy by up to 14% compared with other works and that exploiting associated words makes it possible to perform semantic tag recommendation.<\/jats:p>","DOI":"10.1177\/0165551517693497","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T06:02:45Z","timestamp":1488175365000},"page":"298-313","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Semantic tag recommendation based on associated words exploiting the interwiki links of Wikipedia"],"prefix":"10.1177","volume":"44","author":[{"given":"Hyun-Ki","family":"Hong","sequence":"first","affiliation":[{"name":"Department of Computer Science & Engineering, Hanyang University, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gun-Woo","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, Hanyang University, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-Ho","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, Hanyang University, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,2,1]]},"reference":[{"key":"bibr1-0165551517693497","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2014.2307455"},{"key":"bibr2-0165551517693497","first-page":"1","volume-title":"Proceedings of the 2014 IEEE international conference on multimedia and expo","author":"Liu X"},{"key":"bibr3-0165551517693497","first-page":"291","volume-title":"Proceedings of the IEEE international conference on software maintenance and evolution","author":"Wang 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