• Title/Summary/Keyword: metadata management

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A Study of the Extended Model of Event-Aware ABC Ontology for Music Resources (음악 자원을 대상으로 한 이벤트 중심 ABC 온톨로지 확장 모형에 관한 연구)

  • Lee, Hye-Won;Kim, Tae-Soo
    • Journal of the Korean Society for information Management
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    • v.24 no.1 s.63
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    • pp.273-300
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    • 2007
  • In this study it is intended to develop the ontology which can express the relation between objects with emphasis on the structural representation of semantics. Its interoperability with other kinds of previous ontology and metadata was also considered so that the developed ontology may be applicable to the real situation. The ABC Ontology can get extended into another field where the application of the concept of event is Possible, for ABC Ontology Provides the fundamental framework on the axis of event. In this study it is Music where ABC Ontology can be applied properly, which results in creating Music Ontology. Music Ontology Provides the infrastructure of knowledge for reasoning of Potential meaning as well as the simple semantic connection of terms. The extended model of ABC Ontology has been developed by applying Music Ontology, which is the domain ontology and conveys meaning, to ABC Ontology that represents the whole framework. The representation of conceptual relation in ABC Ontology turns into the association of the framework and meaning in the extended model of ABC Ontology, with reasoning rules which are typical in ontology Also, interoperability of the extended model of ABC Ontology is examined in consideration of co-operating with metadata different from those in it.

Metadata production system based on MPEG-21 IPMP for protection and management of The Digital contents (디지털 콘텐츠 보호 관리를 위한 MPEG-21 IPMP 기반의 메타데이터 저작 시스템)

  • Ryu Kwang-Hee;Hong Hyen-Woo;Kim Kwang-Yong;Kim Jae-Gon;Jung Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.577-580
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    • 2006
  • The rapidly growth of Internet is main factor that activates the Digital Contents market. However imprudent Digital Contents market could be shrunk by imprudent illegal copy and delivery. MPEG(Moving Picture Experts Group) proposed MPEG-21 Multimedia frameworks in order to solve these problem. IPMP is parts of MPEG-21 Multimedia Frameworks, when Digital Contents goes through production delivery consumption, which defines standard to keep the Digital Contents in safety. Currently IPMP defined by FCD(Final Committee Draft) level. Therefore development of system which applied to latest standard to protect and manage the Digital Contents is required. and the system consists of fourth organizations which means Metadata Production server, Tool server, License server, Consumption server. In this Paper, we made production server to parse REL(Rights Expression Language) document that has right information for content from license server, and create metadata based on MPEG-21 IPMP about the content that applied to watermark. then, after it do remuxing, transmit the protected data to consumption server.

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Automatic Extraction of References for Research Reports using Deep Learning Language Model (딥러닝 언어 모델을 이용한 연구보고서의 참고문헌 자동추출 연구)

  • Yukyung Han;Wonsuk Choi;Minchul Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.115-135
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    • 2023
  • The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.

A Study of Data Quality Management Maturity Model (데이터품질관리 성숙도모델에 대한 연구)

  • Kim, Chan-Soo;Park, Joo-Seok
    • Journal of the Korean Society for information Management
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    • v.20 no.4 s.50
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    • pp.249-275
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    • 2003
  • In companies competing for today's information society, Data quality deterioration is causing a negative influence to generate company competitiveness fall and new cost. A lot of Preceding study about data qualify have been proceeded in order to solve a problem of these data qualify deterioration. Among the sides of data qualify, it has been studied mainly on qualify of the data valve and quality of data service that are the results quality concept. However. this study studied structural qualify of the data which were cause quality concept in a viewpoint of meta data management and presented data quality management maturity model through this. Also empirically this study verified that data quality improved if the management level matured.

Modeling and Verification of A data registry-based Management System for Network Object (데이타 레지스트리에 기반한 네트워크 객체 관리 시스템의 모델링 및 검증)

  • 최오훈;백두권
    • Proceedings of the Korea Society for Simulation Conference
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    • 2002.05a
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    • pp.61-65
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    • 2002
  • These days, in order to satisfy the complex and various demands of the customers, the telecommunication networks must provide rapid and flexible services, with the support of efficient service and network management systems. To satisfy these requirements, many objects for management have been released to manage network services and elements. But there are no efficient ways to manage these newly managed objects in object-oriented software. Therefore, we study several problems, when a subsystem using object-oriented technique is implemented. The first problem is that interface works between realized application programs using its technique. The second problem is that reusability of internal managed objects is difficult. In this paper, we will point out some problems and to solve these problems, we have proposed the Object Management System (OMS) architecture, which supports a transparent interface between object-oriented applications and the distributed data repositories. Also in order to manage efficient business objects stored in the different repositories, we suggest a method for integrating dynamic information resources in heterogeneous and distributed network environments. Finally, we applied OMS to TINA(Telecommunication Information Network Architecture) domain, implemented OMS, and verified it with SMV(Symbolic Model Verifier) which is model checking technology.

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Standardization of the Construction Process and Development of the Process Management Software for Spatial Database Quality Maintenance (공간데이터베이스 품질유지를 위한 구축 공정 표준화 및 공정관리 소프트웨어 개발)

  • 최병길;김성수;조광희
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.1
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    • pp.89-97
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    • 2003
  • This study is aimed at standardizing the process of spatial database construction and developing a software tool for process management. Knowhow of five GIS firms and provisions of NGI(National Geography Institute) was analyzed. In this study, the process of spatial database construction was standardized. The system from this study has the capability to manage the process of construction database using GIS and to deal with the metadata of unit map, generated from the process, systematically and continuously. The process was also shown by using either Gantt chart or PERT chart after developing an interface for "MS Project". A software "Visual Basic for Application" was used for this study.

A Study on the Classification Schemes of the Type of Scientific Resources on the Web for the Effective Retrieval (웹 학술정보자원의 효율적인 검색을 위한 자료유형 분류체계에 관한 연구)

  • 김소형;안혜연
    • Proceedings of the Korean Society for Information Management Conference
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    • 2002.08a
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    • pp.27-33
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    • 2002
  • 본 연구의 목적은 웹 상의 다양한 학술정보자원들을 자료유형별로 효율적인 검색이 가능하도록 다양한 형태의 웹 학술정보자원에 대한 자료유형 분류체계 방안을 제시하는데 있다. 본 연구에서는 DCMI(DublinCore Metadata Initiative)를 비롯한 국내외 주요 기관이 연구·개발한 7개의 자료유형 요소 셋을 조사·분석하여, 이를 의미적으로 매핑시키고 그 결과를 참조하여 웹 학술정보자원의 특성에 맞게 10개의 범주 내에 37개의 자료유형 요소를 도출하였다. 본 연구에서 제시하는 자료유형 분류체계는 웹 학술정보자원에 공통적으로 포함되는 요소이므로 각 학문주제별로 적용시킬 경우에는 자료유형 요소의 추가 및 변경을 요구할 수도 있다.

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A study on a Metadata Element Analysis for DB constructing of the scientific resources on the web (웹 학술정보자원 DB구축을 위한 베타데이터 요소 분석에 관한 연구)

  • 김규훈;신성기
    • Proceedings of the Korean Society for Information Management Conference
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    • 2002.08a
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    • pp.123-130
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    • 2002
  • 웹 학술정보자원의 급속한 증가 및 이용도의 증가로 인하여 이들 자원의 원활한 활용을 위한 체계 마련이 시급하다. 본 연구는 인터넷에 산재해 있는 웹 학술정보자원에 대한 효율적인 DB구축을 위한 기초작업으로서 웹 학술정보자원에 한정된 메타데이터 세트 추출과정과 모형제시 및 각 메타데이터 요소에 대한 분석을 실시하였다. 메타데이터 요소 추출은 세계적으로 통용되는 메타데이터 세트의 분석과 매핑 작업 및 웹 학술정보자원의 구축을 위해 필요하다고 판단되는 요소를 추가하였으며 메타데이터 요소의 분석은 더블린 코어의 기본 15개 요소에 기저하여 실시하였다.

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A Study on Dublin Core Metadata Format (Dublin Core 메타데이타 형식에 관한 연구)

  • 김선미;최석두
    • Proceedings of the Korean Society for Information Management Conference
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    • 1997.08a
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    • pp.75-78
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    • 1997
  • 메타데이터 요소집합이란 다양한 형식의 전자문헌 중에서 필요한 정보원을 찾아내는 데 도움이 되는 전자문헌의 가장 기본적인 특징을 기술하기 위한 것이며, 색인보다는 정보량이 많고 공식적인 목록레코드보다는 덜 완전한 레코드를 만들어 이 양극을 조정하려는 것이다. 이의 이점은 다음과 같다. 자동정보원탐색기가 데이터를 수집할 수 있는 형식으로 저자나 출판자가 메타데이터를 만들도록 장려할 수 있으며, 메타데이터레코드의 작성업무를 단순화함으로써 메타데이터요소의 템플릿을 갖는 네트워크출판도구의 개발을 장려할 것이다. 또한 만들어진 메타레코드는 필요하다면 보다 상세한 목록레코드의 바탕이 될 수 있을 것이며, 표준이 된다면 메타데이터레코드는 모든 이용자 집단에게 이해될 수 있을 것이다. 현재 이와 같은 관점에서 활발히 논의되고 있는 Dublin Core 메타데이터 형식을 중심으로 그 현황에 대하여 논한다.

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A study on statistical metadata of a Nation in XML base for standardization (XML에 기반한 국가 통계 메타데이터 표준화 연구)

  • Ha, Yoo-Jung;Lee, Too-Young
    • Proceedings of the Korean Society for Information Management Conference
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    • 2004.08a
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    • pp.203-208
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    • 2004
  • 통계 데이터의 메타데이터에 대한 연구는 90년대 중반부터 각 나라에서 다양하게 이루어져 왔지만 아직 그 기준의 모호하다. 하지만 방대한 양의 데이터 관리와 자료의 활성화를 위한 방안으로 표준화를 위한 노력은 계속되고 있다. 여기서는 통계데이터를 위한 각 국가의 연구들을 조사하고 우리나라 통계청의 자료를 분석하여 통계 메타데이터 요소를 추출하였다. 본 연구는 이 요소들을 중심으로 XML 기반에서 DTD로 하나의 문서형태를 정의하여 우리나라 통계 데이터의 표준화를 위한 방안을 제시하고자 한다.

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