• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.21-24
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• 2018

기존 Facebook 페이지의 경우에는 수많은 제보 글이 올라와 사용자가 원하는 글을 찾기 어렵다는 문제점이 발생하고 있다. 본 논문에서는 이를 위해 다양한 Facebook 페이지 내용을 크롤링하여 사용자가 원하는 Facebook 페이지 내용을 검색하여 사용자에게 제공할 수 있도록 데이터베이스 서버에 저장 한 후 크롤링 된 Facebook 페이지 내용을 제공할 수 있는 웹사이트를 설계하고 구현한다.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.45-53
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• 2019

We face problems from excessive information served with websites in this rapidly changing information era. We find little information useful and much useless and spend a lot of time to select information needed. Many websites including search engines use web crawling in order to make data updated. Web crawling is usually used to generate copies of all the pages of visited sites. Search engines index the pages for faster searching. With regard to data collection for wholesale and order information changing in realtime, the keyword-oriented web data collection is not adequate. The alternative for selective collection of web information in realtime has not been suggested. In this paper, we propose a method of collecting information of restricted web sites by using Web crawling distributed monitoring system (R-WCMS) and estimating collection time through detailed analysis of data and storing them in parallel system. Experimental results show that web site information retrieval is applied to the proposed model, reducing the time of 15-17%.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.1169-1172
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• 2019

최근 많은 이용자들이 음성채팅을 이용하여 게임을 즐긴다. 하지만 많은 사람들이 게임 내에서 지원하는 음성 채팅을 사용하지 않고 별도의 음성 프로그램을 사용하고 있다. 현재 게임 내 음성채팅과 외부 음성채팅 모두 편의 기능이 많이 부족하며, 가장 큰 문제점으로는 사용자 본인이 직접 음성 채팅에 참여하는 유저를 구해야 한다는 것이다. 본 논문에서는 이러한 불편한 상황을 없애기 위하여 자동으로 음성 채팅이 가능한 사람을 모집하여 좀 더 편안한 게임 환경을 제공할 수 있는 음성 채팅 웹 서비스를 개발 하였다. 웹 크롤링 기술을 이용하여 외부 커뮤니티등의 구인 글을 크롤링 하여 설정한 조건과 구인 조건이 일치하면 사이트 사용자 뿐 만 아니라 미사용자 간의 매칭도 빠르게 지원 하도록 개발하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.364-366
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• 2022

The web uses an asynchronous web method to provide various information having different processing speeds together. The asynchronous method has the advantage of being able to respond to other events even before the task is completed, but a typical crawler has difficulty collecting information provided asynchronously by collecting point-of-visit information on a web page. In addition, asynchronous web pages often do not change their web address even if the page content is changed, making it difficult to crawl. In this paper, we propose a web crawling algorithm considering asynchronous page movement by analyzing links in the web. With the proposed algorithm, it was possible to collect dictionary information on TTA terms that provide information asynchronously.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.21-27
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• 2024

This paper presents the implementation of a personalized real-time information-providing application utilizing filtering and web crawling technologies. The implemented application performs web crawling based on the user-set keywords within web pages, using the Jsoup library as a basis for the selected keywords. The crawled data is then stored in a MySQL database. The stored data is presented to the user through an application implemented using Flutter. Additionally, mobile push notifications are provided using Firebase Cloud Messaging (FCM). Through these methods, users can efficiently obtain the desired information quickly. Furthermore, there is an expectation that this approach can be applied to the Internet of Things (IoT) where big data is generated, allowing users to receive only the information they need.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.367-369
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• 2022

With the development of web technology, the web provides customized information that meets the needs of users. Information is provided according to the input form and the user's query, and a web service that provides information that is difficult to search with a search engine is called an in-depth web. These deep webs contain more information than surface webs, but it is difficult to collect information with general crawling, which collects information at the time of the visit. The deep web provides users with information on the server by running script languages such as javascript in their browsers. In this paper, we propose an algorithm capable of exploring dynamically changing websites and collecting information by analyzing scripts for deep web collection. In this paper, the script of the bulletin board of the Korea Centers for Disease Control and Prevention was analyzed for experiments.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.719-722
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• 2021

최근 딥러닝은 이미지 인식, 음성 인식 등 여러 분야에서 고려되고 있는 기술이다. 그러나 딥러닝 기술을 이용하기 위해서는 대형데이터 세트가 필요하나 이를 구축하기 힘들고 많은 시간이 필요하다는 문제점이 있다. 이에, 본 논문에서는 웹 크롤링을 통해 사용자가 원하는 카테고리의 이미지 데이터 세트를 수집하고 수집한 데이터들을 전처리 과정을 통해 딥러닝 모델에 입력할 수 있는 데이터 세트의 구축을 자동화하며, 전이학습을 통해서 적은 훈련 시간과 높은 정확도를 얻을 수 있는 이미지 분류모델을 제안한다.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.4
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• pp.64-72
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• 2003

A Web crawler is an important Internet software technology used in a variety of Internet application software which includes search engines. As Internet continues to grow, implementations of high performance web crawlers are urgently demanded. In this paper, we study how to support dynamic scheduling for a multiprocess-based web crawler. For high peformance, web crawlers are usually based on multiprocess in their implementations. In these systems, crawl scheduling which manages the allocation of web pages to each process for loading is one of the important issues. In this paper, we identify issues which are important and challenging in the crawl scheduling. To address the issue, we propose a dynamic crawl scheduling framework and subsequently a system architecture for a web crawler with dynamic crawl scheduling support. And we analysed the behaviors of Web crawler. Based on the analysis result, we suggest the direction for the design of high performance Web crawler.

• Journal of Digital Contents Society
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• v.4 no.2
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• pp.127-137
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• 2003

A Web crawler is an important Internet software technology used in a variety of Internet application software which includes search engines. As Internet continues to grow, implementations of high performance web crawlers are urgently demanded. In this paper, we study how to support dynamic scheduling for a multiprocess-based web crawler. For high performance, web crawlers are usually based on multiprocess in their implementations. In these systems, crawl scheduling which manages the allocation of web pages to each process for loading is one of the important issues. In this paper, we identify issues which are important and challenging in the crawl scheduling. To address the issue, we propose a dynamic crawl scheduling framework and subsequently a system architecture for a web crawler with dynamic crawl scheduling support. This paper presents the design of the Web crawler with dynamic scheduling support.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.207-208
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• 2023

다크웹을 통한 마약, 금융거래, 해킹 등 사이버 범죄가 증가하면서 다크웹 상의 범죄 추적을 위한 사이버 수사 필요성이 증대되고 있다. Tor와 같은 다크웹 접속 브라우저는 강력한 익명성을 제공하기 때문에 주로 다크웹 운영상의 취약점 분석, 악성코드를 활용한 함정수사 기법이 실효성 높은 다크웹 수사 기술로 간주된다. 그러나 사이트 개설 및 폐쇄가 빈번하게 발생하는 다크웹의 특성상 최신 범죄 정보를 수집하기 위해서는 방대한 다크웹 정보를 실시간 수집하고, 능동적으로 검색 키워드를 확장할 수 있는 고도화된 크롤러 기술 개발이 필요하다. 본 논문은 다양한 다크웹 사이트 중, 아동 음란물 사이트를 크롤링을 통해 수집하고, 수집된 텍스트의 연관 분석을 통해 검색 키워드를 확장하는 수집 체계를 제안한다.