A Temporal Data Model and a Query Language Based on the OO data model

Suh, Yongmoo 한국경영과학회 1997 經營 科學 Vol.14 No.1

There have been lots of research on temporal data management for the past two decades. Most of them are based on some logical data model, especially on the relational data model, although there are some conceptual data models which are independent of logical data models. Also, many properties or issues regarding temporal data models and temporal query languages have been studied. But some of them were shown to be incompatible, which means there could not be a complete temporal data model, satisfying all the desired properties at the same time. Many modeling issues discussed in the papers, do not have to be done so, if they take object-oriented data model as a base model. Therefore, this paper proposes a temporal data model, which is based on the object-oriented data model, mainly discussing the most essential issues that are common to many temporal data models. Our new temporal data model and query language will be illustrated with a small database, created by a set of sample transactions.

Deriving rules for identifying diabetic among individuals with metabolic syndrome

Jinwook Choi,Yongmoo Suh 한국디지털정책학회 2018 디지털융복합연구 Vol.16 No.11

협업 방식의 문제 해결을 위한 그룹원 간의 구조적 대화 지원 시스템

전건호,서용무 한국경영과학회 2003 經營 科學 Vol.20 No.2

These days we come across many wicked problems whose solutions are beyond individuals intellectual ability. These problems can be resolved through collaborative group interaction. We developed an Internet-based asynchronous group interaction support system, after looking into the collaborative problem salving process and the IBIS (Issue-Based Information System) argumentation model. It has the following characteristics 1) it is developed based on the modified IBIS model which is a model for group Interaction to resolve wicked problems, 2) it supports both Processes of seeking and comparing solutions, while most similar Systems do not have a feature to Support the latter process: 3) different structures can be defined dynamically according to the propose of group interaction, so that it could be used for collaborative problem solving in a specific domain To show the usability of the system, we carried out an experiment whose result is shown at the end.

Social media comparative analysis based on multidimensional scaling

Lee, Hanjun,Suh, Yongmoo The Korean Data and Information Science Society 2014 한국데이터정보과학회지 Vol.25 No.3

As social media draws attention as a business tool, organizations, large or small, are trying to exploit social media in their business. However, lack of understanding the characteristics of each social media led them to develop a naive strategy for dealing with social media. Thus, this study aims to deepen the understanding by comparatively analyzing how social media users perceive (the image of) each social media. Facebook, Twitter, YouTube, Blogs, Communities and Cyworld were chosen for our study and data from 132 respondents were analyzed using multidimensional scaling technique. The results show that there are meaningful differences in users' perception of social media attributes, which are grouped into four; information feature, motivation, promotion tool, usability. It is also analyzed whether such differences can be found between male and female users. (Such differences are also analyzed in both male and female users' perceptions.) Further, we discuss some implications of the research results for both practitioners and researchers.

Who creates value in a user innovation community? A case study of <uri> MyStarbucksIdea.com</uri>

Lee, Hanjun,Suh, Yongmoo Emerald Group Publishing Limited 2016 ONLINE INFORMATION REVIEW Vol.40 No.2

<P>Purpose - Successful open innovation requires that many ideas be posted by a number of users and that the posted ideas be evaluated to find ideas of high quality. As such, successful open innovation community would have inherently information overload problem. The purpose of this paper is to mitigate the information problem by identifying potential idea launchers, so that they can pay attention to their ideas. Design/methodology/approach - This research chose MyStarbucksIdea.com as a target innovation community where users freely share their ideas and comments. We extracted basic features from idea, comment and user information and added further features obtained from sentiment analysis on ideas and comments. Those features are used to develop classification models to identify potential idea launchers, using data mining techniques such as artificial neural network, decision tree and Bayesian network. Findings - The results show that the number of ideas posted and the number of comments posted are the most significant among the features. And most of comment-related sentiment features found to be meaningful, while most of idea-related sentiment features are not in the prediction of idea launchers. In addition, this study show classification rules for the identification of potential idea launchers. Originality/value - This study dealt with information overload problem in an open innovation context. A large volume of textual customer contents from an innovation community were examined and classification models to mitigate the problem were proposed using sentiment analysis and data mining techniques. Experimental results show that the proposed classification models can help the firm identify potential idea launchers for its efficient business innovation.</P>

Sentiment Analysis of Online Customer Reviews for Product Recommendation : Comparison with Traditional CF-based Recommendation

Heejin Yang,Yongmoo Suh 한국경영정보학회 2015 한국경영정보학회 학술대회논문집 Vol.2015 No.11

Online product reviews have been an important source for customers to make informed decisions when purchasing goods. Yet, it is nearly impossible for consumers to access all the available reviews online. Such problem could be overcome by employing a recommendation system. Collaborative filtering (CF) recommendation system recommends products based on users’ ratings which may not represent customers’ true opinions on the items they bought. In this study, ratings were substituted with those computed using the frequencies of positive and negative words and expressions obtained from product reviews when developing a sentiment-based recommendation system. The objective of this study is to compare three recommendation systems: traditional CF-based recommendation, sentiment-based recommendation utilizing publicly available lexicon, sentiment-based recommendation employing domain-specific words and expressions examined in the study. The experiments conducted using the data obtained from MakeupAlley.com indicated that sentiment-based recommendation system applying domain-specific words and expressions outperformed the other two systems.

A content based seller recommendation system in an open market

Seungsup Lee,Yongmoo Suh 한국경영정보학회 2010 한국경영정보학회 학술대회논문집 Vol.2010 No.1

More and more customers are buying products on on-line stores and they will be able to make a decision to buy with ease, if they are given reliable information of sellers. But unfortunately, such information is not available and very limited at best. Thus, this paper proposes a recommendation system which recommends most dependable sellers to the customers who want to buy a product. The system first evaluates the sellers registered on an online store by classifying them either as good or as bad using a decision tree technique (J48), and selects only good sellers. Then, the system makes use of the content-based filtering method to find best-matching top-K sellers among the selected good sellers by comparing the individual seller profile and the customer profile. This study makes a contribution in that to our knowledge, it is the first attempt to recommend sellers to customers, not products as is done in other studies.

온라인 커뮤니티 기반 개방형 혁신의 도전적 문제들과 그 대응방안: 마이스타벅스아이디어닷컴 사례를 중심으로

이한준 ( Hanjun Lee ),서용무 ( Yongmoo Suh ) 한국인터넷정보학회 2017 인터넷정보학회논문지 Vol.18 No.2

최근 여러 기업들에 의해 시도되고 있는 개방형 혁신은 고객의 의견을 조직혁신에 활용하는 유용한 방법론으로 평가받고 있다. 그러나 이를 효과적으로 구현하여 실효를 거두기 위해서는 전략적인 접근이 필요하다. 본 연구에서는 온라인 커뮤니티를 활용한 개방형 혁신의 대표적인 성공사례로 알려진 스타벅스의 커뮤니티에 대한 사례연구를 통해 고객들의 집단 지성이 어떻게 해당 커뮤니티를 통해 개방형 혁신으로 구현되었는지 살펴보고 구축 성과와 함께 성공요인에 대해 논의하였다. 이를 토대로 개방형 혁신에 따르는 다양한 도전들을 분석하고 이에 대응하기 위하여 고객관리와의 연계, 오피니언 리더 활용, 공학적 기법 도입 등 효과적이고 효율적인 개방형 혁신 구현을 위한 방안을 제안하였다. Open innovation, a new paradigm which utilizes customer ideas for organizational innovation directly, is evaluated as a useful method to innovate the organization itself. In this research, we analyze the case of Starbucks` online community, MyStarbucksIdea.com to examine how collective intelligence is formed out of mass customers in the community and how open innovation is to be implemented successfully. We review various challenges in implementing open innovation and then suggest practical approaches to the challenges, including customer relationship management, utilization of opinion leaders, application of engineering techniques, etc.

시맨틱 웹 기술을 이용한 온톨로지기반 호텔 검색 시스템

유동희(Donghee Yoo),서용무(Yongmoo Suh) 한국전자거래학회 2008 한국전자거래학회지 Vol.13 No.4

현재, 호텔 검색 엔진들은 여행객들의 호텔 검색을 돕고 있다. 하지만 검색 엔진을 통한 호텔에 대한 검색 결과는 여행객들을 만족시키지 못하고 있다. 그 이유는 검색 엔진이 다양하고 모호한 용어들로 표현되는 여행객의 기호를 정확하게 이해하고 처리할 수 없기 때문이다. 본 논문에서는 현재 사용 가능한 시맨틱 웹 기술인 RDF, OWL, SWRL을 이용하여 온톨로지를 구축하고, 구축된 온톨로지를 기반으로 검색 엔진이 어떻게 여행객들의 기호에 적합한 호텔을 찾는가를 보여주었다. 이를 위해, 기존의 호텔 관련 온톨로지들을 분석하였고 Q&A 커뮤니티들에 올라온 호텔 검색과 관련된 용어들을 조사하였다. 조사된 결과를 바탕으로, 세 개의 하위 온톨로지인 객관적 개념 온톨로지, 보편적 인지 개념 온톨로지, 평가 개념 온톨로지로 구성된 호텔 도메인 온톨로지를 구축하였다. 구축된 온톨로지를 호텔 검색에 이용하는 것을 보여주기 위해 시맨틱 호텔 검색 시스템을 구현하였다. Currently, hotel search engines may help travelers find hotels, but the returned set of information is usually not satisfactory to them. It is because the engines do not understand what travelers want exactly and cannot deal with the travelers’ interest which is expressed in various terms, even including some ambiguous ones. The objective of this research is to build hotel ontology using currently available semantic web technologies such as RDF, OWL and SWRL and to show how it can be used to help travelers find hotels of their interest. To that end, we analyzed available hotel-related ontologies and investigated typical terms which are used when searching for hotels in the Q&A communities. Based on the results of the analysis and investigation, we designed hotel domain ontology which consists of Objective Concepts Ontology(OCO), Universal Concepts Ontology(UCO), and Evaluation Concepts Ontology(ECO). To demonstrate the use of the ontology for a hotel search, we developed a Semantic Hotel Search System (SHSS).

Ontological Representation of Business Process Knowledge and Its Evolution Using Process Mining Techniques

Minyoung Kim,Gunwoo Kim,Yongmoo Suh 한국경영정보학회 2009 한국경영정보학회 학술대회논문집 Vol.2009 No.-