Mun Yong Yi

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Automatic keyword extraction from documents has long been used and proven its usefulness in various areas. Crowdsourced tagging for multimedia resources has emerged and looks promising to a certain extent. Automatic approaches for unstructured data, automatic keyword extraction and crowdsourced tagging are efficient but they all suffer from the lack of(More)
The development of Semantic Web technology has fuelled the creation of a large amount of Linked Data. As the amount of data increases, various issues have been raised. In particular, the quality of data has become important. A number of studies have been conducted to evaluate the quality of linked data. However, most of the approaches are operational only(More)
This study proposes a novel method with which Chinese, Japanese, and Korean (CJK) resources on the Web can be effectively matched and connected. The three countries share Chinese characters even though Japan and Korea have their own language. Utilizing the Unihan database, which covers more than 45,000 characters commonly used by the three countries, we(More)
Ontologies in different natural languages often differ in quality in terms of richness of schema or richness of internal links. This difference is markedly visible when comparing a rich English language on-tology with a non-English language counterpart. Discovering alignment between them is a useful endeavor as it serves as a starting point in bridging the(More)
The objective of this research is to explore and identify Smart TV user experience (UX) factors over different time periods employing multiple methods so as to overcome the weakness of a single study approach. To identify the effect of contextual dimensions on the Smart TV UX, we conducted empirical studies exploiting different methods of think-aloud and(More)