Jung-Yeon Yang

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With the steadily increasing volume of e-commerce transactions, the amount of userprovided product reviews is increasing on the Web. Because many customers feel that they can purchase product based on the experiences of others that are obtainable through product reviews, the review summarization process has become important. In particular, feature-based(More)
The unprecedented growth of the telecommunications industry and exponential increase in real-time online transactions has created the need for a database (DB) system capable of managing massive amounts of data. However, current Very Large DB (VLDB) systems can become overwhelmed, and if, for example, a batch query is made while a transaction is being(More)
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction has become an important issue to be addressed in various fields, such as information retrieval, text mining, pattern recognition, etc. Numerous supporting tools for feature(More)
As the number of transactions in E-market places is growing, more and more product information and product reviews are posted on the Internet. Because customers want to purchase good products, product reviews became most important information. But, because of the massive volume of reviews, customers can’t read all reviews. In order to solve this problem, a(More)
As online shopping is becoming commonplace, more and more product information and product reviews are posted on the Internet. Because customers cannot see and feel the products directly, product reviews are becoming an essential source of qualitative information. As a result, the volume of reviews is increasing drastically and review summarization (or(More)
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for text analysis. Thus, feature selection has become an important issue to be addressed in various text analysis studies. A number of techniques and algorithms for feature selection are available, but unfortunately, it is hard to say that a(More)
This paper describes a knowledge base for entertainment domains, including movies, music, and celebrities. We present an ontology model for representing graph-based knowledge, and describe knowledge processing techniques for constructing an entertainment knowledge base, which is comprised of collection and extraction of large-scale data, and knowledge(More)
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