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Extracting Specific Information in Web Pages Using Machine Learning (머신러닝을 이용한 웹페이지 내의 특정 정보 추출)

  • Lee, Joung-Yun;Kim, Jae-Gon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.4
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    • pp.189-195
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    • 2018

  • With the advent of the digital age, production and distribution of web pages has been exploding. Internet users frequently need to extract specific information they want from these vast web pages. However, it takes lots of time and effort for users to find a specific information in many web pages. While search engines that are commonly used provide users with web pages containing the information they are looking for on the Internet, additional time and efforts are required to find the specific information among extensive search results. Therefore, it is necessary to develop algorithms that can automatically extract specific information in web pages. Every year, thousands of international conference are held all over the world. Each international conference has a website and provides general information for the conference such as the date of the event, the venue, greeting, the abstract submission deadline for a paper, the date of the registration, etc. It is not easy for researchers to catch the abstract submission deadline quickly because it is displayed in various formats from conference to conference and frequently updated. This study focuses on the issue of extracting abstract submission deadlines from International conference websites. In this study, we use three machine learning models such as SVM, decision trees, and artificial neural network to develop algorithms to extract an abstract submission deadline in an international conference website. Performances of the suggested algorithms are evaluated using 2,200 conference websites.

  • https://doi.org/10.11627/jkise.2018.41.4.189 인용 PDF KSCI

The Visualization of Conceptual Thinking with its Verbal / Visual Information for Design Development (그래픽 태블릿(Graphic Tablet)에 의한 개념적 디자인 사고의 시각화 프로세스에 관한 연구)

  • 우흥룡
    • Archives of design research
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    • v.14 no.2
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    • pp.217-224
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    • 2001

  • Graphic thinking for the idea sketches brings about variations between abstract realm and concrete one, and between conceptual realm and perceptual one. When design information is projected to the thinking process, some images are generated, and transformed. We reviewed the sketching devices for computerization to deal with a lot of design data in the computing environment. The LCD Tablet can be a substitute for the Pen & Paper to get rid of irksome tasks at handling the design data. Using a protocol analysis technique, we examined the influences of different design information, which is consisted of verbal concepts and/or visual images, and abstract information and/or concrete one. The findings show that there are no significant differences of influences between verbal/visual information and abstract concrete information at the conceptual design. These facts support that graphic thinking process is progressed with the perceptual and mental image.

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