• Title/Summary/Keyword: Web text

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Text Extraction In WWW Images (웹 영상에 포함된 문자 영역의 추출)

  • 김상현;심재창;김중수
    • Proceedings of the IEEK Conference
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    • 2000.06d
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    • pp.15-18
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    • 2000
  • In this paper, we propose a method for text extraction in the Web images. Our approach is based on contrast detecting and pixel component ratio analysis in mouse position. Extracted data with OCR can be used for real time dictionary call or language translation application in Web browser.

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Implementation of Estimation and Inference on the Web

  • Kang, Heemo;Sim, Songyong
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.913-926
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    • 2000
  • An electronic statistics text on the web is implemented. The introduced text provide interactive instructions on the statistical estimation and inference. As a by-product, we also provide a calculation of quantiles and p-value of t-distribution and standard normal distribution. This program was written in JAVA programming language.

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Brainstorming using TextRank algorithms and Artificial Intelligence (TextRank 알고리즘 및 인공지능을 활용한 브레인스토밍)

  • Sang-Yeong Lee;Chang-Min Yoo;Gi-Beom Hong;Jun-Hyuk Oh;Il-young Moon
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.509-517
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    • 2023
  • The reactive web service provides a related word recommendation system using the TextRank algorithm and a word-based idea generation service selected by the user. In the related word recommendation system, the method of weighting each word using the TextRank algorithm and the probability output method using SoftMax are discussed. The idea generation service discusses the idea generation method and the artificial intelligence reinforce-learning method using mini-GPT. The reactive web discusses the linkage process between React, Spring Boot, and Flask, and describes the overall operation method. When the user enters the desired topic, it provides the associated word. The user constructs a mind map by selecting a related word or adding a desired word. When a user selects a word to combine from a constructed mind-map, it provides newly generated ideas and related patents. This web service can share generated ideas with other users, and improves artificial intelligence by receiving user feedback as a horoscope.

Thai Internet Users' Personality Traits and their Preferred Web Portal's Characteristics

  • Tanya, Rattipon;Tanlamai, Uthai
    • Journal of Information Technology Applications and Management
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    • v.20 no.3
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    • pp.19-30
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    • 2013
  • The objective of this research is to identify a web portal's specific functions and layouts that are aligned with personality trait of an individual internet user. This first stage of the overall research project intends to check whether the research instrument, namely the NEO Five Factors Inventory (NEO-FFI), is applicable to assess the personality traits of Thai internet users. Based on these personality traits, text-based description of functions/layouts of a web portal was developed and given to professional designers to mock up example web portal pages. These web portal pages were in alignment with individual personality traits. Rating data on the functions/layouts corresponding to individual personality traits were collected from an online survey of 207 Thai internet users. Results showed that respondents gave more consistent rating to the functions/layouts close to their individual personality traits identified in the text-based descriptions than in the mocked-up web portal pages.

An effective approach to generate Wikipedia infobox of movie domain using semi-structured data

  • Bhuiyan, Hanif;Oh, Kyeong-Jin;Hong, Myung-Duk;Jo, Geun-Sik
    • Journal of Internet Computing and Services
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    • v.18 no.3
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    • pp.49-61
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    • 2017
  • Wikipedia infoboxes have emerged as an important structured information source on the web. To compose infobox for an article, considerable amount of manual effort is required from an author. Due to this manual involvement, infobox suffers from inconsistency, data heterogeneity, incompleteness, schema drift etc. Prior works attempted to solve those problems by generating infobox automatically based on the corresponding article text. However, there are many articles in Wikipedia that do not have enough text content to generate infobox. In this paper, we present an automated approach to generate infobox for movie domain of Wikipedia by extracting information from several sources of the web instead of relying on article text only. The proposed methodology has been developed using semantic relations of article content and available semi-structured information of the web. It processes the article text through some classification processes to identify the template from the large pool of template list. Finally, it extracts the information for the corresponding template attributes from web and thus generates infobox. Through a comprehensive experimental evaluation the proposed scheme was demonstrated as an effective and efficient approach to generate Wikipedia infobox.

A Development and Application of Learning Materials about the Regional Autonomy in the Social Studies For Web Based Instruction (웹기반 학습을 위한 사회과 지역화 학습자료 개발과 활용)

  • Park, Hyun-Soon;Kim, Jeong-Rang
    • Journal of The Korean Association of Information Education
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    • v.4 no.1
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    • pp.57-71
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    • 2000
  • Generally, Web Based Instruction has been deployed through whole studies, but the characteristic that is suit various WBI materials to a course of study is a important problem of instructional practice and it also has not to overlook. Therefore, Today's problem that is application of learning materials about the regional autonomy for Web Based Instruction, A plan that it can be solved in the social studies is propelling in this paper. Each of the whole country's region, the learning about the regional autonomy with centering around text, it is a text book, 'Social Investigation', that is developed specially is teaching until now, but developmental model of learning materials about the regional autonomy for Web Based Instruction is proposed by the efforts for improve this problem. Various learning materials about the regional autonomy for Web Based Instruction applied to learn our regional cultural life through the school homepage with based on this proposal. As a result of this study, By sloughing off old sensibility with centering around text, Student's Ability of self directed learning and solving problem is expanded with the dynamic multimedia regional Webpage's environment

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Cross-Lingual Text Retrieval Based on a Knowledge Base (지식베이스에 기반한 다언어 문서 검색)

  • Choi, Myeong-Bok;Jo, Jun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.21-32
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    • 2010
  • User query formation highly acts on the effectiveness of information retrieval when we retrieve documents from the general domain as a web. This thesis proposes a intelligent information retrieval method based on a cross-lingual knowledge base to effectively perform a cross-lingual text retrieval from the web. The inferred knowledge from the cross-lingual knowledge base helps user's word association to make up user query easily and exactly for effective cross-lingual text information retrieval. This thesis develops user's query reformation algorithm and experiments it with Korean and English web. Experimental results show that the algorithm based on the proposed knowledge base is much more effective than without knowledge base in the cross-lingual text retrieval.

Web-based Text-To-Sign Language Translating System (웹기반 청각장애인용 수화 웹페이지 제작 시스템)

  • Park, Sung-Wook;Wang, Bo-Hyeun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.3
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    • pp.265-270
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    • 2014
  • Hearing-impaired people have difficulty in hearing, so it is also hard for them to learn letters that represent sound and text that conveys complex and abstract concepts. Therefore it has been natural choice for the hearing-impaired people to use sign language for communication, which employes facial expression, and hands and body motion. However, the major communication methods in daily life are text and speech, which are big obstacles for the hearing-impaired people to access information, to learn and make intellectual activities, and to get jobs. As delivering information via internet become common the hearing-impaired people are experiencing more difficulty in accessing information since internet represents information mostly in text forms. This intensifies unbalance of information accessibility. This paper reports web-based text-to-sign language translating system that helps web designer to use sign language in web page design. Since the system is web-based, if web designers are equipped with common computing environment for internet browsing, they can use the system. The web-based text-to-sign language system takes the format of bulletin board as user interface. When web designers write paragraphs and post them through the bulletin board to the translating server, the server translates the incoming text to sign language, animates with 3D avatar and records the animation in a MP4 file. The file addresses are fetched by the bulletin board and it enables web designers embed the translated sign language file into their web pages by using HTML5 or Javascript. Also we analyzed text used by web pages of public services, then figured out new words to the translating system, and added to improve translation. This addition is expected to encourage wide and easy acceptance of web pages for hearing-impaired people to public services.

Automatic Construction of Korean Unknown Word Dictionary using Occurrence Frequency in Web Documents (웹문서에서의 출현빈도를 이용한 한국어 미등록어 사전 자동 구축)

  • Park, So-Young
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.3
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    • pp.27-33
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    • 2008
  • In this paper, we propose a method of automatically constructing a dictionary by extracting unknown words from given eojeols in order to improve the performance of a Korean morphological analyzer. The proposed method is composed of a dictionary construction phase based on full text analysis and a dictionary construction phase based on web document frequency. The first phase recognizes unknown words from strings repeatedly occurred in a given full text while the second phase recognizes unknown words based on frequency of retrieving each string, once occurred in the text, from web documents. Experimental results show that the proposed method improves 32.39% recall by utilizing web document frequency compared with a previous method.

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Effective teaching using textbooks and AI web apps (교과서와 AI 웹앱을 활용한 효과적인 교육방식)

  • Sobirjon, Habibullaev;Yakhyo, Mamasoliev;Kim, Ki-Hawn
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.211-213
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    • 2022
  • Images in the textbooks influence the learning process. Students often see pictures before reading the text and these pictures can enhance the power of imagination of the students. The findings of some researches show that the images in textbooks can increase students' creativity. However, when learning major subjects, reading a textbook or looking at a picture alone may not be enough to understand the topics and completely realize the concepts. Studies show that viewers remember 95% of a message when watching a video than reading a text. If we can combine textbooks and videos, this teaching method is fantastic. The "TEXT + IMAGE + VIDEO (Animation)" concept could be more beneficial than ordinary ones. We tried to give our solution by using machine learning Image Classification. This paper covers the features, approaches and detailed objectives of our project. For now, we have developed the prototype of this project as a web app and it only works when accessed via smartphone. Once you have accessed the web app through your smartphone, the web app asks for access to use the camera. Suppose you bring your smartphone's camera closer to the picture in the textbook. It will then display the video related to the photo below.

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