• Journal of Information Technology and Architecture
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• v.9 no.4
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• pp.413-422
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• 2012

Many researchers have been studied to reveal human natural language to let machine understand its meaning by text based, page rank based or more. Particularly, it has been considered that URL and HTML Tag information in web documents are attracting people' attention again to analyze huge amount of web document automatically. In this paper, we propose a STW (Semantic Term Weight) approach based on syntactic and linguistic structure of web documents in order to classify what genres are. For the evaluation, we analyzed more than 1,000 documents from 20-Genre-collection corpus for training the documents based on SVM algorithm. Afterwards, we tested KI-04 corpus to evaluate performance of our proposed method. This paper measured their accuracy by classifying them into an experiment using STW and one without u sing STW. As the results, the proposed STW based approach showed approximately 10.2% which Is higher than one without use of STW.

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.555-562
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• 2004

A genre or a style is another view of documents different from a subject or a topic. The style is also a criterion to classify the documents. There have been several studies on detecting a style of textual documents. However, only a few of them dealt with web documents. In this paper we suggest sets of features to detect styles of web documents. Web documents are different from textual documents in that Dey contain URL and HTML tags within the pages. We introduce the features specific to web documents, which are extracted from URL and HTML tags. Experimental results enable us to evaluate their characteristics and performances.

• The KIPS Transactions:PartB
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• v.12B no.4 s.100
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• pp.499-506
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• 2005

It still has some restrictions to collect a specialized information with only the function of existing web robot which collect an enormous of data by circulating through the internet. Therefore, in this paper the functions of the current web robot and its application areas are analyzed and the limitations of collecting a specialized information are found out. Also we define what functions are necessary for a web robot in order to collect a specialized information. Then the designed structure is described. There are two critical functions which are applied to web robot. One is a genre-based categorization that classifies the text by the type, and the other is a content-based categorization by the subject. Most of all, genre-based categorization is used as fundamental feature which enables web robot to collect the aimed documents efficiently.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1285-1288
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• 2000

인터넷의 양적 질적 성장을 통해 인터넷상에 존재하는 웹 문서의 숫자는 엄청난 속도로 증가하여 왔다. 이러한 방대한 웹 문서를 대상으로 한 검색 방법은, 지금까지 일반적으로 텍스트 기반의 방법이 주류를 이루어 왔다. 그러나 웹 문서는 멀티미디어 형태로 존재하며 텍스트, 이미지, 동영상, 컴퓨터 그래픽 둥 다양한 미디어들로 구성되어 있다. 본 논문에서는 인터넷에 존재하는 웹 문서를 대상으로 내용 기반 이미지 검색방법을 제시한다. 내용기반 웹 이미지 검색 시스템은 웹 상의 텍스트 기반의 기존 상용 검색엔진을 이용하여 주요 검색어에 대한 이미지를 수집하는 웹 이미지 수집기와 수집된 이미지에 대해 MPEG-7 비주얼 기술자를 이용하여 데이터베이스에 색인하는 데이터베이스 불리기(population), 그리고 내용 기반 이미지 검색엔진으로 구성된다. 사용자는 장르, 주제 및 주요단어에 의해 분류되어 데이터베이스에 색인된 웹 이미지를 대상으로 검색이 가능하다. 이는 웹 문서를 직접 대상으로 한 특정 단어에 대한 내용 기반 이미지 검색이 가능하며 검색이 데이터베이스를 대상으로 이루어지기 때문에 빠른 검색 속도를 얻을 수 있으며, 또한 기존 웹에서 제공되는 텍스트 기반의 상용 검색엔진을 이용하여 주요단어에 대한 웹 이미지를 수집하여 색인하기 때문에 별도의 텍스트 검색엔진 구현을 필요로 하지 않는다.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.81-88
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• 2019

This article aims to identify the characters and theme shown in dance costume and utilize them from an educational perspective by constructing digital museum archiving, which can be systematically collected, classified and stored from dance costume. It deals with definition of digital museum archiving as theoretical background and examples of how to create digital museum archiving as research content. The role that archiving plays in digital museum and effectiveness have been demonstrated. Archive is a term used to indicate extensive material and its storage and referred to as an integrative model of display in the computer-generated space. When it comes to producing dance costume as a form of digital museum, the museum is to be made in the computer-generated area of dance costume. The museum shows each division of major, medium and minor classification. The major classification divides genre of dance performance into Korean dance, modern dance and ballet. The middle involves choreographers, costume designers. The minor categorization includes newspaper, interviews, performance pictures, and programs. Digital museum has the value of space utilization, creation, culture, utilization of multiple educational programs, offering of digital museum content, two-way communication, and program development of the new display form.