• Journal of KIISE:Software and Applications
• /
• v.37 no.6
• /
• pp.464-469
• /
• 2010

In this paper, we propose a method to extract isa/instanceOf relation from category structure. Existing researches use lexical patterns to get isa/instanceOf relation from the category structure, e.g. head word matching, to determine whether the given category link is isa/instanceOf relation or not. In this paper, we propose a new approach which analyzes other category links related to the given category link to determine whether the given category link is isa/instanceOf relation or not. The experimental result shows that our algorithm can cover many cases which the existing algorithms were not able to deal with.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06c
• /
• pp.460-465
• /
• 2007

영상 내 사물들의 카테고리를 인식하는 연구는 시각적 영상처리와 연관된 다양한 분야에서 활발히 진행되고 있다. 객체 범주화(Object Categorization)는 가정과 같은 실내에서 책상, 의자, 컵, 주전자 등의 다양한 사물들을 구분하여 인식하는데 중요한 역할을 할 수 있다. 본 논문에서는 최근 영상 내 객체들의 카테고리 분석을 위해 연구된 PLSA를 기반으로 특이점에 가중치를 부여하여, 보다 유사한 카테고리 간에 인식 성능을 향상시키는 접근법에 대하여 연구하였다. PLSA는 문서기반의 정보검색 분야로부터 소개된 기법으로, 약한 수준의 비감독 방법임에도 불구하고 인상적인 인식성능을 보여준다. 그러나 비슷한 특징점 분포를 보이는 유사한 카테고리 간의 객체 카테고리 인식에 대해서는 비교적 낮은 성능을 보인다. 본 연구에서는 카테고리간의 비교실험을 통해 각 특징점에 대하여 가중치를 부여한 PLSA를 적용하여 유사한 객체 간의 카테고리 인식 가능성을 살펴보았다. 실험에서는 기존의 PLSA 기법과 제안한 가중치를 부여 PLSA 기법을 각각 적용하여 그 성능을 비교하였다. 본 연구에서는 기존 PLSA 기법에서는 비교적 낮은 인식률을 보인 유사한 카테고리 인식에 대하여 실험 결과를 통해 가중치를 부여한 PLSA 기법이 보다 향상된 성능을 보임을 확인하였다.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.9
• /
• pp.17-27
• /
• 2012

Open Market is one of the key factors to accelerate the profit. Usually retailers sell items in several Open Market. One of the challenges for retailers is to assign categories of items with different classification systems. In this research, we propose an item category recommendation method to support appropriate products category registration. Our recommendations are based on semantic relation between existing and any other Open Market categorization. In order to analyze correlations of categories, we use Morpheme analysis, Korean Wiki Dictionary, WordNet and Google Translation API. Our proposed method recommends a category, which is most similar to a guide word by measuring semantic similarity. The experimental results show that, our system improves the system accuracy in term of search category, and retailers can easily select the appropriate categories from our proposed method.

• Journal of the Korean Society for information Management
• /
• v.23 no.2
• /
• pp.39-59
• /
• 2006

In this study we proposed a new informational structure and category labels to fully support the functions of school websites as an access tool to its contents. The proposed model was divided into three main aspects. First, main menu structure was the primary guideline to access information embedded in a website. Therefore, The proposed main menu structure consisted of 9 categories that are commonly provided by 17 existing school websites. Second, first-level categories consisted of total 35 categories under 9 main menu categories. Each category was placed under certain categories in main menu based on the relationships with the meaning of the upper level categories. Third, the proposed model adopted general and comprehensive terms as category labels. The terms used as category labels were based on the analysis of existing category labels, and the most frequently used terms were selected from the current school websites.

• Journal of Korean Society of Forest Science
• /
• v.100 no.3
• /
• pp.494-503
• /
• 2011

This study was aimed at applying the IUCN category system to the Baekdudaegan Protected Area. A classification key was developed to apply the system to the overlapped designated protected areas inside of Baekdudaegan Protected Area. Korea national parks and forests managers' and experts' opinions were collected and they all agreed to the use of multiple classification in Baekdudaegan Protected Area. For example, the type of natural forests among the Forest Genetic Resources Reserves was classified to be IUCN Category Ia while other types of Forest Genetic Resources Reserve was classified to be Category IV. And the Protected Forest Landscape was classified to be Category V while the other types of protected forests were classified to be Category VI. The study suggests the need of classification of forest protected areas including Baekdudaegan Protected Area using IUCN system accompanying with protected areas management effectiveness evaluation.

• Journal of Korean Society of Rural Planning
• /
• v.12 no.1 s.30
• /
• pp.75-83
• /
• 2006

본 연구에서는 최대우도법과 인공신경망 모형에 의해 카테고리 분류를 수행하고 각각의 분류 성능을 비교 평가하였다. 인공신경망 모형은 오류역전파 알고리즘을 이용한 것으로서 학습을 통한 은닉층의 최적노드수를 결정하여 카테고리 분류를 수행하도록 하였다. 인공신경망 최적 모형은 입력층의 노드수가 7개, 은닉층의 최적노드수가 18개, 그리고 출력층의 노드수가 5개인 것으로 구성하였다. 위성영상은 1996년에 촬영된 Landsat TM-5 영상을 사용하였고, 최대우도법과 인공신경망 모형에 의한 카테고리 분류를 위하여 각각의 카테고리에 대한 분광특성을 대표하는 지역을 절취하였다. 분류 정확도는 인공신경망 모형에 의한 방법이 90%, 최대우도법이 83%로서, 인공신경망 모형의 분류 성능이 뛰어난 것으로 나타났다. 카테고리 분류 항목인 토지 피복 상태에 따른 분류는 두 가지 방법에서 밭과 주거지의 분류오차가 큰 것으로 나타났다. 특히, 최대우도법에 의한 밭에서의 태만오차는 62.6%로서 매우 큰 값을 보였다. 이는 밭이나 주거지의 특성이 위성영상 촬영시기에 따라 나지의 형태로 분류되거나 산림, 또는 논으로도 분류되는 경향이 있기 때문인 것으로 보인다. 차후에 카테고리 분류를 위한 각각의 클래스의 보조적인 정보를 추가한다면, 카테고리 분류 향상이 이루어질 것으로 기대된다.

• Journal of Internet Computing and Services
• /
• v.10 no.4
• /
• pp.45-54
• /
• 2009

In this paper we propose a new approach that recognizes the similar categories by weighting distinctive features. The approach is based on the PLSA that is one of the effective methods for the object categorization. PLSA is introduced from the information retrieval of text domain. PLSA, unsupervised method, shows impressive performance of category recognition. However, it shows relatively low performance for the similar categories which have the analog distribution of the features. In this paper, we consider the effective object categorization for the similar categories by weighting the mainly distinctive features. We present that the proposed algorithm, weighted PLSA, recognizes similar categories. Our method shows better results than the standard PLSA.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.10b
• /
• pp.128-130
• /
• 2000

인터넷의 발전으로 온라인 문서들의 양이 급증하여 문서의 자동 분류 기술의 중요성이 증대되고 있다. 문서를 미리 정의된 카테고리로 분류할 때 카테고리는 평면구조보다 계층구조를 갖도록 하는 것이 사용자의 측면에서 볼 때 훨씬 더 자연스럽다. 본 논문에서는 계층구조 카테고리를 가지는 문서를 분류하는 방법을 연구하고 실제 20개의 유스넷 뉴스그룹 문서들을 분류하도록 시험하였다. 여기서 사용한 알고리즘은 하이퍼링크 정보를 이용하여 웹 문서분류를 목적으로 개발된 IBM의 TAPER(taxonomy and path enhanced retrieval system) 알고리즘을 변형한 것이다.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.23 no.3
• /
• pp.157-175
• /
• 2012

This study analyzed the characteristics and categories of blog contents from list of blogs in 22 academic libraries in Korea and 11 academic libraries in USA. The findings indicated that the majority of blog contents in domestic libraries are used for announcements, events, and general information while international libraries use professional information and general information evenly. In addition, this study showed the international libraries use the various types of information including podcasts and videocast, and images while domestic libraries use document formats and link types mainly. The results can be used to develop effective and useful contents for academic digital libraries.

• Journal of Distribution Research
• /
• v.12 no.3
• /
• pp.23-48
• /
• 2007

Category management has been implemented to enhance competitiveness in the food distribution industry since 2000 in Korea. This study helps to understand why suppliers achieve better or worse performance than competitors in a category. The major objective of this article is to explore which category tactics are effective to have influence on category performance when suppliers as a category captain implement category management with variety enhancer categories like shampoo, toothpaste, and detergent. The Nielsen data were analyzed using regression and Chow test. The empirical results that were varied upon the store type and market position found out which specific actions on product assortments, pricing, shelving, and product replenishment can increase category sales. Specifically, in the case of market leader in large supermarket, the significant indicators of category sales with respect to category tactics are the out-of-stock rate, the variance across brand shares, the forward inventory, and the days supply of a product. However, in the case of follower in large supermarket, the significant indicators of category sales are the variance across brand shares, the forward inventory, and the days supply of a product. On the other hand, in the case of small supermarket, the significant factors on category sales for both market leader and follower are the retail distribution rate, the variance across brand shares, the forward inventory, and the days supply of a product category. In sum, regardless of the store type and market position, dominant brands in a category, the forward inventory, and short days supply of a product improved performance in all categories. Critical difference is that the out-of-stock rate acted as a key ingredient for the market leader between large and small supermarket and the retail distribution rate for the follower between large and small supermarket. This article presents some theoretical and managerial implications of the empirical results and finalizes the paper by addressing limitations and future research directions.