• Journal of KIISE:Software and Applications
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• v.37 no.3
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• pp.214-221
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• 2010

The search-results clustering problem is defined as the automatic and on-line grouping of similar documents in search results returned from a search engine. In this paper, we propose a new search-results clustering algorithm specialized for a paper search service. Our system consists of two algorithmic phases: Category Hierarchy Generation System (CHGS) and Paper Clustering System (PCS). In CHGS, we first build up the category hierarchy, called the Field Thesaurus, for each research field using an existing research category hierarchy (KOSEF's research category hierarchy) and the keyword expansion of the field thesaurus by a word clustering method using the K-means algorithm. Then, in PCS, the proposed algorithm determines the category of each paper using top-down and bottom-up methods. The proposed system can be used in the application areas for retrieval services in a specialized field such as a paper search service.

• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.410-432
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• 2005

Korea's government-sponsored research institutes (GRIs) have contributed a lot to the economic development of Korea. They have become major components of the Korean national innovation system. However, in these days, they have been blamed for low productivity and inefficiency, as well as insufficient contribution to national development. This paper argues that the major problem of Korea's GRIs lies in their concentration in a few regions, e. g. Seoul, Gyeonggi, and Daedeok. It argues that they should be fairly distributed among regions in order to contribute to the development of Korea effectively. In this regard, this paper explores the relevant policy options to effectively distribute Korean GRIs among regions. It suggests two categories of distribution scenarios. The first category is based on the types of GRIs to be distributed. This category has three scenarios: existing GRIs, branch institutes of existing GRIs, and new GRIs. The second category is based on the jurisdiction of GRIs. It has also three scenarios: GRI system as an independent sector, GRI-university cooperation system, and integration of GRIs to regional universities. These scenarios have advantages and disadvantages, respectively. Therefore, we must find a rather satisfactory scenario based on the mixture of scenarios of both categories.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.65-72
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• 2020

This study conducted to investigate the core competency of dental hygiene based on learning outcomes for establishing an educational evaluation and certification system for dental hygiene. The sub-categories of core competencies, the overall score of professional behavior and ethical decision-making ability (category 1) and the ability to apply scientific and professional clinical hygiene and knowledge and skills of clinical dental work (category 2) was highest. and the level of communication skills (category 3) was 4.48 points, and the level of evidence-based integrated thinking and problem solving skills (category 5) was 4.35 points. Furthermore, there was a strong correlation between the core competency sub-categories, and it is necessary to identify the core competency between health care service occupations and to qualitatively study the core competency of dental hygienists working in clinical practice.

• Food Quality and Culture
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• v.3 no.1
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• pp.27-33
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• 2009

This study evaluates the effectiveness of the "Seoul Sanitation Grading System Evaluation Index" developed earlier and to analyze sanitation management practices in restaurants in Seoul, Korea. The categories evaluated were the food management standard, facilities/equipment standard, and essential checking items specified in the law. These items were graded and classified into A ($100{\sim}90$), B ($89{\sim}80$), C ($79{\sim}70$) and Score (less than 69) based on the criteria set by the present researchers. We randomly selected 56 restaurants in five local cities (Jung-gu, Seocho-gu, Jongno-gu, Songpa-gu and Yeongdeungpo-gu) and investigated each by actually visiting the site of business. The achievement rate for food management standard was 80.8%; as for the specific items in the category, it was the highest in food ingredients at 77.1% and the lowest in food storage at 62.1%. For the facilities/equipment standard, the achievement rate was 77.8%; as for the specific items in the category, it was the highest for vermin at 88.1% and the lowest for operation at 70.8%. The achievement rate for overall individual sanitary management was 70.7% and in the category, the lowest score was seen in hand washing at 57.1%. The overall average score of sanitation management practices using the Seoul Sanitation Grading System Evaluation Index in restaurants in Seoul was 73.7, which fell into the C category. As for the number of restaurants in each grade category, there were 10 (17.9%) in each category of A ($100{\sim}90$), B ($89{\sim}80$) and C ($79{\sim}70$) with 30 (53.6%) scoring higher than 70, whereas those scoring less than 69 included 26 (46.4%). The average scores for those restaurants designated by local governments (exemplary restaurants, general restaurants, best Korean restaurants in Seoul) were not significantly different; however, they were higher in franchises than those small restaurants ran by individuals.

• Fashion & Textile Research Journal
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• v.17 no.5
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• pp.731-740
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• 2015

Mobile (smartphone) search engine marketing is increasingly important. Accordingly, the development of visual apparel search technology to obtain easier and faster access to visual information in the apparel field is urgently needed. This study helps establish a proper classifying system for an apparel search after an analysis of search techniques for apparel search applications and existing domestic and overseas apparel sites. An annotation technique is developed in accordance with visual attributes and apparel categories based on collected data obtained by web crawling and apparel images collecting. The categorical composition of apparel is divided into wearing, image and style. The web evaluation site traces the correlations of the apparel category and apparel factors as dependent upon visual attributes. An appraisal team of 10 individuals evaluated 2860 pieces of merchandise images. Data analysis consisted of correlations between apparel, sleeve length and apparel category (based on an average analysis), and correlation between fastener and apparel category (based on an average analysis). The study results can be considered as an epoch-making mobile apparel search system that can contribute to enhancing consumer convenience since it enables an effective search of type, price, distributor, and apparel image by a mobile photographing of the wearing state.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.19-29
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• 2013

In the current Internet environment where there is high space complexity of information, search engines aim to provide accurate information that users want. But content-based method adopted by most of search engines cannot be used as an effective tool in the current Internet environment. As content-based method gives different weights to each web page using morphological characteristics of vocabulary, the method has its drawbacks of not being effective in distinguishing each web page. To resolve this problem and provide useful information to the users, this paper proposes an evaluation method based on categories. Category-based evaluation method is to extend query to semantic relations and measure the similarity to web pages. In applying weighting to web pages, category-based evaluation method utilizes user response to web page retrieval and categories of query and thus better distinguish web pages. The method proposed in this paper has the advantage of being able to effectively provide the information users want through search engines and the utility of category-based evaluation technique has been confirmed through various experiments.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.1
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• pp.23-33
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• 2015

Objective : This study aimed to develop a new category system of Yanseng(養生) for traditional Korean Medicine in order to prepare the ground for organizing the resources of Yangseng systematically. Method : We reviewed the existing medical books containing Yangseng contents. Based on the experts' consensus, we drew the new category system of Yangseng in consideration of a national trait of Korea and use of Yanseng in modern society. Results : First, We devided Yangseng category into two parts: methods and applications. Methods are divided into 5 parts: mind, diet, herb, Doinangyo(導引按蹻), life. A broad use of herbs in daily life is a national trait of Korea. Doinangyo contains relaxation methods like breathing, massages and exercises like Qigong and is also very popular way to maintain health in modern western society. Applications are divided into 6 parts: type of constitution, life cycle, seasons, type of symptoms and signs, type of Mibyung(未病) and diseases. We drew this 6 parts in consideration of use in the field of health care. Conclusion : The new category system of yangseng is based on existing theories and reflects Korean national trait and use of Yanseng in modern society. We hope this new category system play a role of foundation for organizing the resources of Yangseng systematically.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.7
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• pp.2633-2648
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• 2015

The problem of visual words' synonymy and ambiguity always exist in the conventional bag of visual words (BoVW) model based object category methods. Besides, the noisy visual words, so-called "visual stop-words" will degrade the semantic resolution of visual dictionary. In view of this, a novel bag of visual words method based on PLSA and chi-square model for object category is proposed. Firstly, Probabilistic Latent Semantic Analysis (PLSA) is used to analyze the semantic co-occurrence probability of visual words, infer the latent semantic topics in images, and get the latent topic distributions induced by the words. Secondly, the KL divergence is adopt to measure the semantic distance between visual words, which can get semantically related homoionym. Then, adaptive soft-assignment strategy is combined to realize the soft mapping between SIFT features and some homoionym. Finally, the chi-square model is introduced to eliminate the "visual stop-words" and reconstruct the visual vocabulary histograms. Moreover, SVM (Support Vector Machine) is applied to accomplish object classification. Experimental results indicated that the synonymy and ambiguity problems of visual words can be overcome effectively. The distinguish ability of visual semantic resolution as well as the object classification performance are substantially boosted compared with the traditional methods.

• The Journal of Information Systems
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• v.20 no.3
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• pp.41-61
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• 2011

In order to buy products through the Internet, consumers dissipate much time and efforts in collecting and comparing product information from various online shopping malls. Consumers can save their efforts by using price comparison sites, but there are some shortcomings in comparison shopping. Firstly, comparison sites do not show the lowest price of some products that are selling in shopping malls. Secondly, the product information provided by comparison sites is sometimes wrong. Thirdly, there are too many results. In order to overcome the shortcomings, we suggested a comparison shopping system based on RSS by using ontology matching. We used the current RSS standard for syntactic interoperability instead of suggesting new standards. Moreover, we used ontology matching for semantic interoperability to compare product information with different ontologies. The suggested ontology matching consists of three steps. The first step is finding exact sense from WordNet for a given product category, and the second step is searching for matching product category candidates from the products of RSS feeds. The final step is calculating similarities of the candidates with the target product category. From the experiments, we could get better recall rates that are suitable for e-commerce environments and the results show that our system is effective in product comparison.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.163-180
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• 2009

In this paper, we describe a developmental system for establishing personal information tendency based on user queries. For each query, the system classified it based on the category information using a kNN classifier. As category information, we used DDC field which is already assigned to each record in the database. The system accumulates category information for all user queries and the user's personalized feature for the target database. We then developed a personalized retrieval system reflecting the personalized feature to produce search result. Our system re-ranks the result documents by adding more weights to the documents for which categories match with the user's personalized feature. By using user's tendency information, the ambiguity problem of the word could be solved. In this paper, we conducted experiments for personalized search and word sense disambiguation (WSD) on a collection of Korean journal articles of science and technology arena. Our experimental result and user's evaluation show that the performance of the personalized search system and WSD is proved to be useful for actual field services.