• Journal of Korean Library and Information Science Society
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• v.36 no.3
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• pp.109-136
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• 2005

This paper describes the major components of ISO/IEC 11179 metadata registry (MDR) standard designed to promote data interoperability between systems, explains and discusses semantic web technology and Web ontology languages initiated by W3C that can be employed to further enhance data interoperability, and finally proposes a framework for a new RDF/OWL-based MDR to convert from the current human-readable MDR to machine-readable MDR. If the new MDR is successful, we might be able to offer a better customized information service to users. The future research will be concerned with evaluating objectively the effectiveness of machine-readable MDR in meeting the needs of real users.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.81-85
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• 2012

As business environment and complex work conditions are rapidly changing, large financial institutions are doing research on various fields to build a system that will efficiently and accurately process the production and modification of financial information and minimize the error in data-processing. In this paper, we have built a metadata system that, among various research areas, gives stability, accuracy and convenience in financial data modelling, analyze its effect and when adapting new models, provide mapping information from existing model to efficiently connect models and databases. If we manage modelling and standard data through this metadata system, the data standardization and database can process the model modification work in an unitary system and consistent high quality data model can be maintained and managed when data modification occurs.

• The KIPS Transactions:PartA
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• v.10A no.3
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• pp.269-278
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• 2003

The popularity of the web based education has come the need for variety learning methods and for business to exploit the web not only for interoperability but also standardization. This way of standardization has come to researched for environments, contents and practical uses in ISO. The IEEE has special]y established five technical classes for LTSA which provide advanced e-learning environments. Feedback functions would not be supported and specified in standardization for Query Answer on LTSA. In this paper, we describe the query and answer model which we have developed on layer three of LTSA. We develop the redefined model for transforming data flow oriented into object or component based model. We have developed the Query Answer Metadata (QAM) based on Learning Object Metadata (LOM). We design and showed thing a prototyping implementation the Query Answer Learning Tool (QALT). We have used the QALT to address the problem of efficiency of web based education. We also used it to develop the related tools with quality and productivity.

• Journal of Advanced Navigation Technology
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• v.25 no.6
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• pp.557-561
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• 2021

A meatadata has become an essential element in order to recommend video content to users. However, it is passively generated by video content providers. In the paper, a method for automatically generating metadata was studied in the existing manual metadata input method. In addition to the method of extracting emotion tags in the previous study, a study was conducted on a method for automatically generating metadata for genre and country of production through movie audio. The genre was extracted from the audio spectrogram using the ResNet34 artificial neural network model, a transfer learning model, and the language of the speaker in the movie was detected through speech recognition. Through this, it was possible to confirm the possibility of automatically generating metadata through artificial intelligence.