Mun Yong Yi

Learn More
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)
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)
Inference about whether a word in one text has similar meaning to another word in the other text is an essential task in order to understand whether two texts have similar meaning. However, this inference becomes difficult especially when two words do not share a lexical root, do not have the same argument structure, or do not have the same part-of-speech.(More)