• Title/Summary/Keyword: 메타데이터 추출

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A Study on Designing Metadata Elements for the Management of Digitized Records (디지털화 기록 관리를 위한 메타데이터 요소(안) 설계)

  • Jiin, Seo;Jee-Hyun, Rho
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.4
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    • pp.1-24
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    • 2022
  • This study aims to design the metadata elements for managing and maintaining digitized records resulting from digitization. The digitized records were first defined and characterized, then assigned as copies and surrogates for source records. Next, the factors to be considered when designing metadata elements for digitized records were determined by comparing standards from different countries like the United States and the United Kingdom. As a result of the comparison, establishing a relationship between digitized records and source records, expanding the automatically extracted metadata elements following resource characteristics, and creating metadata for digitization processes and projects were set to be the key tasks of metadata design for managing digitized records. Furthermore, the metadata elements for digital records and digitization processes were designed individually, and the elements to be added for each entity were proposed by referring to standards from other counties.

Design and Implementation of a TV-Anytime Metadata Authoring Tool for Personalized Broadcasting Services (개인형 데이터방송 서비스를 위한 TV-Anytime 메타데이터 저작도구 설계 및 구현)

  • Jun Dong-San;Kim Min-Je;Lee Han-Kyu;Yang Seung-Jun
    • Journal of Broadcast Engineering
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    • v.11 no.3 s.32
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    • pp.284-301
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    • 2006
  • In this paper, we present a design and implementation of a TV-Anytime metadata authoring tool for providing personalized data-broadcasting services. The TV-Anytime specifies metadata schema, metadata coding and delivery, and provides service models to provide personalized broadcasting content services at anytime when users want to consume using metadata including ECG (Electronic Content Guide) and content descriptive information in a PDR (Personal Digital Recorder)-centric environment. In spite of a useful services based on TV-anytime metadata, the metadata authoring still remains as a harassing and time consuming task. For easy metadata authoring, the proposed metadata authoring provides the following key functionalities: metadata visualization, media access, and semi-automatic method for editing segment related metadata.

XMARS : XML-based Multimedia Annotation and Retrieval System (XMARS : XML 기반 멀티미디어 주석 및 검색 시스템)

  • Nam, Yun-Young;Hwang, Een-Jun
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.541-548
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    • 2002
  • This paper proposes an XML based Multimedia Annotation and Retrieval System, which can represent and retrieve video data efficiently using XML. The system provides a graphical user interface for annotating, searching, and browsing multimedia data. It is Implemented based on the hierarchical metadata model to represent multimedia information. The metadata about video is organized based on multimedia description schema using XML Schema that basically conforms to the MPEG-7 standard. Also, for the effective indexing and retrieval of multimedia data, video segments are annotated and categorized using the closed caption.

An Analysis of the Recordkeeping Metadata Elements Based on ISO 15489 Requirements (행정기관의 기록관리 메타데이터 요소 분석 - ISO 15489를 기준으로 -)

  • Seol, Moon-Won
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.15 no.1
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    • pp.217-242
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    • 2004
  • The main purpose of this study is to analyse and evaluate the metadata elements of 'Records System' and 'Electronic Document System' specifications for Korean government agencies based on functional requirements of ISO 15489. This present paper begins with discussing the characteristics of recordskeeping metada, and extract the metadata elements fulfilling the ISO 15489 functional requirements. And this study tries to compare the metadata elements of current specifications with ISO 15489 elements. Based on these analyses, it suggests the directions for improving current metadata specifications and for developing national metadata standard.

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GML Data Integration Method for Load Processing of Spatial Data Warehouse (공간 데이터 웨어하우스에서 GML 데이터의 효율적인 적재를 위한 데이터 통합 기법)

  • Jeon Byung-Yun;Lee Dong-Wook;You Byeong-Seob;Bae Hae-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.05a
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    • pp.27-30
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    • 2006
  • GIS 분야에서 데이터 교환의 표준으로 OGC(Open Geospatial Consortium)에서 GML(Geography Markup Language)이 제안되어 웹 어플리케이션이나 공간 데이터 교환에서 사용이 일반화 되어가고 있다. 또한, 공간 데이터를 효과적으로 수집하여 의사결정을 지원하기 위한 시스템인 공간 데이터 웨어하우스에서도 GML 데이터를 추출하여 소스 데이터로 활용하는 것이 요구되고 있다. 하지만 GML 은 반구조형식(semi-structured)의 데이터 형식을 가진다. 따라서 기존 구조적인 데이터와는 추출하는 방식이 다르므로 GML 의 특징에 맞는 공간 데이터 추출이 수행되어야 한다. 본 논문에서는 공간 데이터 웨어하우스에서 GML 기반의 공간 데이터 소스를 추출할 때, 중복되는 공간 객체를 하나의 표현으로 통합하여 효율적으로 적재하는 기법을 제안한다. 이는 GQuery를 이용하여 GML 데이터를 추출한 후, GML 스키마를 메타데이터에서 관리하는 스키마 정보와 비교하여 공간 데이터 웨어하우스에 통합된 공간 데이터를 제공하는 기법이다. 성능평가에서는 기존의 GML 데이터를 추출하는 기법과 제안기법과의 비교를 통하여 제안 기법의 기존 기법에 비해 평균적으로 약 9.95%의 성능향상을 보였다.

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A Research of Optimized Metadata Extraction and Classification of in Audio (미디어에서의 오디오 메타데이터 최적화 추출 및 분류 방안에 대한 연구)

  • Yoon, Min-hee;Park, Hyo-gyeong;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.147-149
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    • 2021
  • Recently, the rapid growth of the media market and the expectations of users have been increasing. In this research, tags are extracted through media-derived audio and classified into specific categories using artificial intelligence. This category is a type of emotion including joy, anger, sadness, love, hatred, desire, etc. We use JupyterNotebook to conduct the corresponding study, analyze voice data using the LiBROSA library within JupyterNotebook, and use Neural Network using keras and layer models.

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The Study on the Development of Historical Data Management System for Realtime EMS Data Storage & Retrieval (실시간 EMS데이터의 효율적인 저장 및 관리를 위한 이력데이터 관리 시스템 설계 및 구현)

  • Jang, Bok-Sun;Kim, Myoung-Ui;Kim, Wan-Hong;Yoon, Yeo-Jun
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10b
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    • pp.388-392
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    • 2007
  • 계속적으로 변화하는 방대한 양의 EMS 데이터를 실시간 취득하여, 사용자가 원하는 데이터만 추출해서 원하는 포맷으로 저장하여 추후 활용할 수 있는 HDMS 시스템에 대하여 소개한다. HDMS 시스템은 K-EMS 과제의 일부분으로 개발되었다. 공유메모리를 사용하여 데이터를 처리하는 실시간 DBMS로부터 추출된 대용량 데이터를 고속으로 디스크 DBMS로 입력하고, 데이터 손실에 대한 Risk를 감소시키기 위하여 동적인 파티션 추가삭제를 통하여 자동으로 분산저장하며, 자동 백업 기능을 제공하여 사용자의 편의성을 증진한다. 데이터를 장기간 보관하고, 보관된 데이터에 대한 데이터 검색 기능을 제공하기 위하여 백업과 관련된 메타데이터를 관리한다. 관리된 메타데이터를 이용하여 사용자의 요구에 의해 백업파일을 시스템에 자동으로 복구하여 온라인 보관주기가 경과한 데이터에 대해 조회가 가능하도록 한다. HDMS시스템은 CIM 기반으로 데이터베이스가 구축되어 향후 K-EMS 외의 타 시스템과의 데이터 통합 및 연계가 용이하고 여러 분야에서 데이터 재활용이 가능할 것으로 예상된다.

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Generation of Class MetaData Based on XMI (XMI기반 클래스의 메타데이터생성)

  • Lee, Sang-Sik;Choi, Han-Yong
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.572-581
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    • 2009
  • Study on the class using XMI Meta model and XML MetaDats has significant difference from the method of Data creation which is widely used. Most of MXL System are focusing on the editor funcition, Database connection and Generation of Markup language. Unlikelly, however, this study has focused on the creation of Markup language of Class MetaData which are extracted from MXI data modedl. In addition to that, the attribute of unit element within the class and the relationship between the classes within the model were set to be given and expressed respectively. For the generation of Markup language, XML schema was used to declare the detail data type.

Automatic Generation of Bibliographic Metadata with Reference Information for Academic Journals (학술논문 내에서 참고문헌 정보가 포함된 서지 메타데이터 자동 생성 연구)

  • Jeong, Seonki;Shin, Hyeonho;Ji, Seon-Yeong;Choi, Sungphil
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.3
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    • pp.241-264
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    • 2022
  • Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.

Design and Application of Metadata Schema in Datawebhouse System (데이터웹하우스 시스템에서 메타데이터 스키마의 설계 및 활용)

  • Park, Jong-Mo;Cho, Kyung-San
    • The KIPS Transactions:PartD
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    • v.14D no.6
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    • pp.701-706
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    • 2007
  • Datawebhouse consists of both web log analysis used for customer management and datawarehouse used for decision support. However, datawebhouse needs complex operations for management in order to transform and integrate data from heterogeneous data sources and distributed systems. We propose a metadata schema in order to enable data integration and data management which are essential in datawebhouse environments. We show that our proposed schema supports datawebhouse development and enables integrated asset management of business information. With ETL metadata for web log extract, we can improve the data processing time of web log.