• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.283-296
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• 2004

TV-Anytime metadata can be delivered by unidirectional or bi-directional network. In bi -directional environment, the special request of a client is sent to metadata service providers and then the providers provide the personalized metadata back to the client. In this paper. we introduce the design and implementation of a broadcasting receiver for personalized broadcasting service in bi-directional environment. We describe actual system configuration and usage examples for bi-directional personalized service. The implemented receiver provides various functions for a digital broadcasting recorder and is based on TV-Anytime specification and UDDI specification to provide the metadata service discovery.

• Journal of the Korean Association of Geographic Information Studies
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• v.1 no.1
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• pp.28-38
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• 1998

This paper describes difficulties for the producer's distribution and the user's acquisition of the spatial data because the circulation of them is complicated according to its kind in Korea. The way to overcome these difficulties would be to develop the clearing house system to incorporate GIS technology on Internet. This research proposes the problem statement, the architecture, and the operating environment of the system. The system contains the functions such as metadata generation, metadata registration, metadata version management, catalogue creation and update, reports generation, forms processing, metadata search, payments, GIS information pool, and spatial data browsing.

• Journal of the Korean Society for information Management
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• v.35 no.3
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• pp.101-121
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• 2018

This study proposes the analysis method in sentence semantics that can be automatically identified and processed as appropriate items in the system according to the composition of the sentences contained in the data corresponding to the logical semantic structure metadata of the research papers. In order to achieve the purpose, the structure of sentences corresponding to 'Research Objectives' and 'Research Outcomes' among the semantic structure metadata was analyzed based on the number of words, the link word types, the role of many-appeared words in sentences, and the end types of a word. As a result of this study, the number of words in the sentences was 38 in 'Research Objectives' and 212 in 'Research Outcomes'. The link word types in 'Research Objectives' were occurred in the order such as Causality, Sequence, Equivalence, In-other-word/Summary relation, and the link word types in 'Research Outcomes' were appeared in the order such as Causality, Equivalence, Sequence, In-other-word/Summary relation. Analysis target words like '역할(Role)', '요인(Factor)' and '관계(Relation)' played a similar role in both purpose and result part, but the role of '연구(Study)' was little different. Finally, the verb endings in sentences were appeared many times such as '~고자', '~였다' in 'Research Objectives', and '~었다', '~있다', '~였다' in 'Research Outcomes'. This study is significant as a fundamental research that can be utilized to automatically identify and input the metadata element reflecting the common logical semantics of research papers in order to support researchers' scholarly sensemaking.

• Journal of the Korean Society for information Management
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• v.33 no.3
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• pp.63-83
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• 2016

As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word 'metadata'. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

• Ocean and Polar Research
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• v.37 no.4
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• pp.249-263
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• 2015

Standardization work for the ocean data produced by a variety of national oceanographic research projects was conducted in order to establish a national ocean data sharing system. For this work, we first prepared standard proposals for the national research ocean data by reviewing and analyzing of existing international and domestic ocean-data standards. The proposed standards were reviewed and revised by experts in the field of oceanography and academic societies for documentation. The 125-page technical report on the standards of 25 data items was prepared as an output of this research work, which is available free of charge for the public and interested parties. This paper explains the proposed standards of metadata and codes regarding the common properties of all the oceanographic data items. Especially, the standards for the metadata, codes and data formats of 4 physical data items were described in detail. In order to be adopted as the national standards for ocean data, however, the standards suggested here require further development and/or modification based on additional reviews of and ample feedbacks from the relevant academic and technical communities.

• Journal of Broadcast Engineering
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• v.10 no.1 s.26
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• pp.57-67
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• 2005

In the paper, we propose a TV-anytime codec that encodes and decodes TV-Anytime metadata according to the TV-Anytime specification so that the resulting binary TV-Anytime metadata can be transferred efficiently through the broadcasting network where the data bandwidth is restricted.. We describe the broadcasting environment that the TV-Anytime codec will be applied to, and the required functionalities of the software modules in detail. For the design of software modules, we show how to Implement the modules for metadata fragmentation. encoding, decoding, and the fragments management. The proposed TV-Anytime codec can be utilized as the core components to a personalized digital broadcasting system providing ECG(Electronic Content Guide) and segmentation information services according to TV-Anytime standard.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1830-1840
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• 2011

CDISC (Clinical Data Interchanging Standards Consortium) standards are to support the acquisition, exchange, submission and archival of clinical trial and research data. SDTM (Study Data Tabulation Model) for Case Report Forms (CRFs) was recommended for U.S. Food and Drug Administration (FDA) regulatory submissions since 2004. Although the SDTM Implementation Guide gives a standardized and predefined collection of submission metadata 'domains' containing extensive variable collections, transforming CRFs to SDTM files for FDA submission is still a very hard and time-consuming task. For addressing this issue, we developed metadata based SDTM mapping rules. Using these mapping rules, we also developed a semi-automatic tool, named CDISC Transformer, for transforming clinical trial data to CDISC standard compliant data. The performance of CDISC Transformer with or without MDR support was evaluated using CDISC blank CRF as the 'gold standard'. Both MDR and user inquiry-supported transformation substantially improved the accuracy of our transformation rules. CDISC Transformer will greatly reduce the workloads and enhance standardized data entry and integration for clinical trial and research in various healthcare domains.

• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.334-344
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• 2004

The convergence of metadata service and the PDR with digital storage device enables new services. Among which, providing dynamic commercials make it possible for the commercials stored in the PDR to be a beneficial information source instead of a dull and not-so-interesting time-consuming content. It also improves consumer concentration and makes the commercials more effective. This paper provides list of various functionality provided by dynamic personalized commercials based on metadata and PDR. The proposed information structure supporting these functionality is based on the digital item concept of MPEG-2I. This paper also provides brief description on how the proposed information structure can be used to implement the listed functionality of dynamic persona1ized commercials.

• ETRI Journal
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• v.28 no.2
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• pp.191-204
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• 2006

Many previous studies of data quality have focused on the realization and evaluation of both data value quality and data service quality. These studies revealed that poor data value quality and poor data service quality were caused by poor data structure. In this study we focus on metadata management, namely, data structure quality and introduce the data quality management maturity model as a preferred maturity model. We empirically show that data quality improves as data management matures.

• Journal of the Korean Society for information Management
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• v.31 no.2
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• pp.41-56
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• 2014

The necessity of the raw data management and reuse is issued by diffusion of the recognition that research data is a national asset. In this paper, a metadata design model by schema class inheritance and a metadata integrated search model by schema objects are suggested for a structural management of the data. A data architecture in which an schema object has an 1 : 1 relation to the data collection was designed. A suggested model was testified by creation of a virtual schema class and objects which inherit the schema class. It showed the possibility of implement systematically. A suggested model can be used to manage the data which are produced by government agencies because schema inheritance and integrated search model present way to overcome the weak points of the 'Top-dow Hierarchy model' which is being used to design the metadata schema.