• Title/Summary/Keyword: 구문 관계 정보

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Designing and Evaluating Digital Video Storyboard Surrogates (디지털 영상 초록의 설계와 평가에 관한 연구)

  • Kim, Hyun-Hee;Kim, Yong-Ho;Ko, Su-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.38 no.4
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    • pp.463-480
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    • 2007
  • This study examines the design and utilization of video storyboard surrogates in the digital video libraries. To do this, first we constructed the arrangement model of key-frames for storyboard based on the FRBR model, image communication and PRECIS Indexing theories and evaluated the model using 6 sample videos and 26 participants. The study results show that the video storyboard surrogates based on the arrangement model has a higher accuracy value in terms of summary extraction than that of the sequential video storyboard. Moreover, watching both types of video storyboard one after another, especially browsing the sequential video storyboard first and then the arrangement model-based one, produces a remarkable increase in accuracy value of summary extraction. The study proposes two methods of utilizing the video storyboard surrogates in the digital video libraries: Designing a video browsing interface where users can use the sequential storyboard as a default and then the arrangement model-based one for re-watching; and utilizing the arrangement model-based storyboard as structured match sources of image-based queries.

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Improving a Korean Spell/Grammar Checker for the Web-Based Language Learning System (웹기반 언어 학습시스템을 위한 한국어 철자/문법 검사기의 성능 향상)

  • 남현숙;김광영;권혁철
    • Korean Journal of Cognitive Science
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    • v.12 no.3
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    • pp.1-18
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    • 2001
  • The goal of this paper is the pedagogical application of a Korean Spell/Grammar Checker to the web-based language learning system for Korean writing. To maximize the efficient instruction of our learning system \\`Urimal Baeumteo\\` we have to improve our Korean Spell/Grammar Checker. Today the NLP system\\`s performance defends on its semantic processing capability. In our Korean Spell/Grammar Checker. the tasks accomplished in the semantic level are: the detection and correction of misused derived and compound nouns in a Korean spell-checking device and the detection and correction of syntactic and semantic errors in a Korean grammars-checking device. We describe a common approach to the partial parsing using collocation rules based on the dependency grammar. To provide more detailed semantic rules. we classified nouns according to their concepts. and subcategorized verbs referring to their syntactic and semantic features. Improving a Korean Spell/Gl-Grammar Checker makes our learning system active and intelligent in a web-based environment. We acknowledge the flaws in our system: the classification of nouns based on their meanings and concepts is a time consuming task. the analytic unit of this study is principally limited to the phrases in a sentence therefore the accurate parsing of embedded sentences remains a difficult problem to solve. Concerning the web-based language learning system. it is critically important to consider its interface design and structure of its contents.

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A PageRank based Data Indexing Method for Designing Natural Language Interface to CRM Databases (분석 CRM 실무자의 자연어 질의 처리를 위한 기업 데이터베이스 구성요소 인덱싱 방법론)

  • Park, Sung-Hyuk;Hwang, Kyeong-Seo;Lee, Dong-Won
    • CRM연구
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    • v.2 no.2
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    • pp.53-70
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    • 2009
  • Understanding consumer behavior based on the analysis of the customer data is one essential part of analytic CRM. To do this, the analytic skills for data extraction and data processing are required to users. As a user has various kinds of questions for the consumer data analysis, the user should use database language such as SQL. However, for the firm's user, to generate SQL statements is not easy because the accuracy of the query result is hugely influenced by the knowledge of work-site operation and the firm's database. This paper proposes a natural language based database search framework finding relevant database elements. Specifically, we describe how our TableRank method can understand the user's natural query language and provide proper relations and attributes of data records to the user. Through several experiments, it is supported that the TableRank provides accurate database elements related to the user's natural query. We also show that the close distance among relations in the database represents the high data connectivity which guarantees matching with a search query from a user.

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A Preliminary Study on Extending OAK Metadata for Research Data (연구데이터 관리를 위한 OAK 메타데이터 확장 방안 연구)

  • Lee, Mihwa;Lee, Eun-Ju;Rho, Jee-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.51 no.3
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    • pp.27-51
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    • 2020
  • This study aims to propose an extended OAK metadata for research data that would be described in OAK, an open access repository of the National Library of Korea. As a research method, literature review, case studies, and interviews with related parties were conducted. The method of extending the existing OAK metadata for research data was derived as follows. First, in modeling for research data, the structure of the collection> item> file is maintained, the collection is placed as a higher group to which the research data can be grouped, and item was combined metadata and files or digital objects of various formats together. Second, by mapping the metadata standard and case organizations with the existing OAK metadata, elements judged to need to be extended to OAK for research data were selected and reflected in the existing OAK. Third, the controlled vocabulary and syntax are also proposed so that it can be used for search or later statistics through structured data. By expanding the OAK metadata to describe research data, research data produced in Korea can be officially stored and used, which is the basis for preventing duplication of research and sharing and recycling research results nationally.