• Journal of Information Processing Systems
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• 제3권1호
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• pp.33-37
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• 2007

Semantic clustering is important to various fields in the modem information society. In this work we applied the Independent Component Analysis method to the extraction of the features of latent concepts. We used verb and object noun information and formulated a concept as a linear combination of verbs. The proposed method is shown to be suitable for our framework and it performs better than a hierarchical clustering in latent semantic space for finding out invisible information from the data.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권3호
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• pp.153-158
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• 2015

Nowadays, automatic keyphrase extraction is considered to be an important task. Most of the previous studies focused only on selecting keyphrases within the body of input documents. These studies overlooked latent keyphrases that did not appear in documents. In addition, a small number of studies on latent keyphrase extraction methods had some structural limitations. Although latent keyphrases do not appear in documents, they can still undertake an important role in text mining because they link meaningful concepts or contents of documents and can be utilized in short articles such as social network service, which rarely have explicit keyphrases. In this paper, we propose a new approach that selects qualified latent keyphrases from input documents and overcomes some structural limitations by using deep belief networks in a supervised manner. The main idea of this approach is to capture the intrinsic representations of documents and extract eligible latent keyphrases by using them. Our experimental results showed that latent keyphrases were successfully extracted using our proposed method.

• International Journal of Quality Innovation
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• 제6권2호
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• pp.147-166
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• 2005

The purpose of this study is to analyze the causal relationship, in the perspective of Total Quality Management, among the education quality factors, which were suggested in the previous researches. Lee et al. [16] had tried to analyze the relationship among education factors, but they did not estimate the education factor using latent variable concept, which is very reasonable and efficient to represent the constructed concepts. So this study attempts to analyze the causal relationship among education quality factors, represented as latent variables used in structural equation modeling (SEM), and compared with each other. In this study, education quality factors were measured by several measures, constructed as several latent variables, and then processed with AMOS, the most efficient statistical package in the SEM area. In order to analyze the causal relationship among the education quality factors constructed as latent variables, this study designed the structural equation model with suggested factors and established several research hypotheses. This study discovered a prominent causality among the education quality factors, such as education leadership, student scholastic performance and satisfaction of education quality, which is similar to that of previous research. This outcome is really a unique Korean syndrome manifest within our educational career orientation.

• 한국지능시스템학회논문지
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• 제25권2호
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• pp.180-185
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• 2015

인터넷 미디어의 발달과 함께 온라인 문서의 양이 급격하게 증가함에 따라, 문서 요약과 정보 검색 등 다양한 분야에 활용가능한 키워드를 자동으로 찾고자하는 연구가 활발히 진행되고 있다. 하지만 기존의 키워드 추출 연구들은 문서에서 나타나는 키워드만을 대상으로 하고 있어, 문서에서 등장하지 않는 잠재 키워드를 추출하지 못하는 한계를 갖고 있다. 잠재 키워드는 실데이터 키워드의 1/4 이상을 차지하고 있으며, 문서에서 나타나지는 않지만 문서의 중요한 개념이나 내용을 함축하고 있어 문서 요약 및 정보 검색에 중요한 역할을 차지할 수 있다. 특히 SNS와 같이 내용이 적어 키워드가 명시적으로 나타나기 어려운 문서에서 유용하게 활용될 수 있다. 본 논문에서는 잠재 키워드를 추출하기 위해 주어진 문서와 유사한 문서의 키워드를 후보 키워드로 선택하고 후보 키워드를 구성하는 개별 단어들을 이용해 후보 키워드의 중요도를 평가하는 방법을 제안한다. 실험을 통해, 제안 기법이 잠재 키워드를 합리적인 수준으로 추출할 수 있음을 보였다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.178-183
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• 2009

Online image dictionary has become more and more popular in concepts cognition. However, for existing online systems, only very few images are manually picked to demonstrate the concepts. Currently, there is very little research found on automatically choosing large scale online images with the help of semantic analysis. In this paper, we propose a novel framework to utilize community-generated online multimedia content to visually illustrate certain concepts. Our proposed framework adapts various techniques, including the correlation analysis, semantic and visual clustering to produce sets of high quality, precise, diverse and representative images to visually translate a given concept. To make the best use of our results, a user interface is deployed, which displays the representative images according the latent semantic coherence. The objective and subjective evaluations show the feasibility and effectiveness of our approach.

• 한국조경학회지
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• 제21권3호
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• pp.35-49
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• 1993

The purpose of this study is to establish some concepts, objects, and methodologies which are essential components in the theoretical inquiry of Landscape Architectural Criticism(LAC), and to explore the structure of LAC. Theough comparing the artistic characteristics of landscape architecture with the latent criticism in it, and introducing some important concepts of criticism and aesthetics, the concept of LAC is defined operationally. And through grasping changes of the definitions and concepts about landscpae architecture, and classifying the fields of it which are related to critical structure, the objects of LAC are established. According to Virgil C. Aldrich and many other aestheticians, general aspects of criticism are divided into $\circled1$analysis, $\circled2$ evaluation, $\circled3$interpretation, and $\circled4$description. Through these aspects and Wayne Attoe's opinion(which seemed to be generalized in architectural), the pertinent methodologies of LAC are explored.

• 한국인구학
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• 제24권2호
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• pp.47-78
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• 2001

이 연구의 목적은 세대 연구의 이론적·방법론적 쟁점들을 만하임의 시각을 중심으로 하여 비판적으로 검토함에 있다. 여기에서 검토할 쟁점들은 1) 세대의 개념, 2) 세대 형성의 기반, 3) 세대의 내적 분화, 4) 세대간 경계선 설정의 문제, 5) 세대차이와 세대갈등 개념에 관련된 쟁점 등이다. 이러한 쟁점들의 검토 결과 다음과 같은 두 가지 결론을 얻게 되었다. 첫째, 세대문제에 관한 만하임의 개념과 이론이 매우 유용하고 지식사회학적인 통찰력이 돋보인다는 점이다. 둘째, 그의 이론이 사회운동을 설명하기에는 적절하지만 그와 직접적 관련이 없는 일반적인 세대문제를 다루기 위해서는 추가적인 개념과 이론화가 필요하다는 점이다. 만하임의 이론을 보완하기 위하여 이 논문에서 새로이 제시한 점은 1) 세대의 보다 일반적 수준에서의 개념화, 2) 세대내 분파 개념의 도입, 3) 세대차이·세대갈등에 대한 보다 포괄적인 개념적 이해의 필요성 제시, 4) 현재적-잠재적 세대갈등의 개념 구분 등이다.

• Nuclear Engineering and Technology
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• 제56권1호
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• pp.340-356
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• 2024

Bridging traditional experts' disciplinary boundaries is important for nuclear knowledge management systems. However, expert competences are often described in unstructured texts and require substantial human effort to link related competences across disciplines. The purpose of this research is to develop and evaluate a natural language processing approach, based on Latent Semantic Analysis, to enable the automatic linking of related competences across different disciplines and communities of practice. With datasets of unstructured texts as input training data, our results show that the algorithm can readily identify nuclear domain-specific semantic links between words and concepts. We discuss how our results can be utilized to generate a quantitative network of links between competences across disciplines, thus acting as an enabler for identifying and bridging communities of practice, in nuclear and beyond.

• 산업공학
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• 제19권2호
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• pp.140-152
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• 2006

Today, many companies realize that the effort to develop new products / services faster that customers want and continue to purchase is crucial for their survival. As the service sector is rapidly growing, one of the challenges faced by the service industries is the lack of effective methodologies for new service development. This paper proposes a systematic framework for developing new service concepts, with an emphasis on generating innovative, convergence-type service concepts from the customer‘s perspective. The framework consists of three phases-identification of customer needs (Phase I), extraction of new service opportunities (Phase II), and generation of new service concepts (Phase III). The proposed framework is demonstrated through a case study in the telecommunications industry. In the case study, a survey was conducted on ten customers to identify the latent customer needs; 61 new service opportunities were extracted; and 129 new service concepts were generated.

• 한국식생활문화학회지
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• 제35권5호
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• pp.417-425
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• 2020

There is a growing global interest in food choices that could affect health. Consumer food choices are dictated by numerous factors such as attitudes, beliefs, desires and preferences stemming from psychological and physiological attributes. The present study aimed to understand consumers' internal perceptions about cream soup, cream sauce, and tomato sauce using ZMET (Zaltman's Metaphor Elicitation Technique). The 9 step ZMET interview process was conducted for a sample of 36 consumers (12 consumers for each sauce). A content analysis of the survey results was carried out. From this, 56 concepts of cream soup were derived, and 15 constructs that met with the agreement of more than one-third of the total sample consumers were extracted. These 15 constructs included 'Soft', 'Recollection', 'Familiar', 'Warm', 'Comfortable', etc. Similarly, for cream sauce, 67 concepts and 20 constructs 'Silky', 'Warm', 'Restaurant', 'Family', 'Memory', etc. were deduced. A total of 66 concepts and 20 constructs for tomato sauce 'Sourness', 'Sauce Bottle', 'Pleasant', 'Ingredient', 'Cooking', etc. were derived. The analysis of consumers' consensus maps through this study provides a deep and useful understanding of consumers and their latent needs. Also, the results of this study indicate that exploring consumers' internal perceptions is critical to understanding their healthy food choices. This can be used as basic data for formulating marketing strategies.