• Title/Summary/Keyword: Tagging Engine

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Syllable-based Korean POS Tagging Based on Combining a Pre-analyzed Dictionary with Machine Learning (기분석사전과 기계학습 방법을 결합한 음절 단위 한국어 품사 태깅)

  • Lee, Chung-Hee;Lim, Joon-Ho;Lim, Soojong;Kim, Hyun-Ki
    • Journal of KIISE
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    • v.43 no.3
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    • pp.362-369
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    • 2016
  • This study is directed toward the design of a hybrid algorithm for syllable-based Korean POS tagging. Previous syllable-based works on Korean POS tagging have relied on a sequence labeling method and mostly used only a machine learning method. We present a new algorithm integrating a machine learning method and a pre-analyzed dictionary. We used a Sejong tagged corpus for training and evaluation. While the machine learning engine achieved eojeol precision of 0.964, the proposed hybrid engine achieved eojeol precision of 0.990. In a Quiz domain test, the machine learning engine and the proposed hybrid engine obtained 0.961 and 0.972, respectively. This result indicates our method to be effective for Korean POS tagging.

Collaborative Social Tagging for eBook using External DSL Approach

  • Yoo, Hwan-Soo;Kim, Seong-Whan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.1068-1072
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    • 2014
  • We propose a collaborative social tagging for eBook using external DSL approach. The goal of this paper is (1) to provide DSL by which authors can write HTML5 rich contents ebook and tag resources, (2) to make users enhance book by tagging resources easily, (3) to make readers read rich book easily regardless of their devices types, (4) to provide ebook resources of RESTful address style by which other system can identify self-descriptive resources of book. To achieve the goal, we provide Bukle DSL language by which author and users can author and enhance ebook with ease. As a domainspecific language Bukle provides a simple yet expressive language for authoring and tagging books that would otherwise be more difficult to express with a general purpose language. Further work includes visual DSL approach and tools by using that the unskilled users could tag book easily. In order that future work also includes text-to-visual DSL transform engine. UX research is also required to tag and to author book. To tackle the above questions we are looking at using visual notation focusing visual syntax.

A Design and Implementation of RSS Data Collecting Engine based on Web 2.0 (웹 2.0 기반 RSS 데이터 수집 엔진의 설계 및 구현)

  • Kang, Pil-Gu;Kim, Jae-Hwan;Lee, Sang-Jun;Chae, Jin-Seok
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1496-1506
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    • 2007
  • The environment of web service has changed a great deal due to the progress of internet technology and positive participation of users. The established web service is static and passive, but the recent web service is becoming dynamic and active. Web 2.0 reflects current web service change well. The primary feature of web 2.0 is positive participation of users. Since the size of generated information is becoming larger, it is highly required to share the information fast and correctly. The technology to satisfy this need is web syndication and tagging in web 2.0. The web syndication makes feeds for another site or users to receive the content of web site. In addition, the tagging is the kernel of a information. Many internet users share rapidly the information through tag search. In this paper, we propose the efficient technique to improve the web 2.0 technology such as web syndication and tagging by using the data collection engine. Data collection engine has stored in a database, a user's Web site to use the information. and it has a user's Web site with access to updated data to collect. The experimental results show that our approach can improve the search speed up to 3.14 times better than the existing method and reduce the size of data up to 66% for building associated tags.

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Food Media Content Study for an AI Smart Speaker

  • Kim, Kyoung-Ah
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.197-202
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    • 2019
  • Society advances through technology, and technology has changed many lifestyles. The need for food is varying, but the availability of food is constantly changing as trends in production change. Combining the food industry and technology, a robot that delivers food and also cooks it has been developed. The time has come for a combination of food content and technology to advance the restaurant industry. This study discusses the application of a recommended food content media providing system using a curation engine that recommends contents according to individual tastes and preferences for the convenience of those who use food contents, using artificial intelligence speakers. We discuss the technologies required to develop video contents optimized for AI speakers with screens and shapes, combined with inset top boxes.

A study on the effective batch image management method (효율적인 일괄 이미지 관리 방법에 대한 연구)

  • Choi, Jae-Wan;Kim, Tae-Eun
    • Journal of Digital Contents Society
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    • v.9 no.4
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    • pp.779-784
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    • 2008
  • An environment of information sharing is developed as a high-speed growth of internet infrastructure and a fast supply of digital imaging devices. Therefore, developing and supply various digital contents are needed. As occasion demands, the utility of editing tools with a simple image viewer, or programs to need technical education increased. One of subproblems is to take long time for editing images. In this paper, we propose a new method which is a method to edit images in a lump. This method has advantages compared with the previous searching engines in terns of performances and speed. Also, we propose the new approach for developing fusion graphic image contents as binding each advantages of the category. It reduces the production time and costs of contents by the proposed method.

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