• Journal of KIISE:Databases
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• v.31 no.3
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• pp.232-242
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• 2004

Metadata is a general notion of data about data to improve data sharing and exchanging by definitely describing meaning and representation of data. However, metadata has been created in various ways and It caused another kind of heterogeneity problem named metadata heterogeneity problem. Recently, the research on metadata gateway approach that allows metadata heterogeneity is being more actively progressed. However, the existing commercialized systems that have been implemented with the metadata gateway approach are dependent on a metadata schema. In this paper, we propose a message conversion system which separates the mapping information from the mapping rules between heterogeneous metadata schemas. The proposed system dynamically manages standardized data elements by applying ISO/IEC l1179. Therefore, the proposed system provides the set of standard data elements to create consistently metadata of new databases and provides a fundamental resolution to the metadata heterogeneity problem.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1449-1452
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• 2004

It is necessary to resolve the syntax, structure and semantic heterogeneity for sharing information resources. And the representative technologies are XML and Metadata. XML has been used to represent the syntax and structure, and metadata has been used to represent the semantic meaning of information resources. However, various metadata sets in one or more domains that have been developed by each independent organizations without any standards or guidelines, make it difficult to share their information resource. In this paper, we propose an interoperability framework (FSMI, Framework for Sharable Metadata Interoperability) on MDR (Metadata Registry) to increase the interoperability of XML encoded information resources between systems using different metadata sets.

• The KIPS Transactions:PartA
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• v.12A no.1 s.91
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• pp.31-40
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• 2005

In this paper, we propose XMDR(XML Metadata Registry) to guarantee the interoperability of data in distributed database, and describe a data synchronizing agent system using it. The proposal of XMDR is to solve the data heterogeneity problem in the sharing and exchanging data. Data heterogeneity problem is generated by different definition or mismatching expression of the same information. Therefore, we define XMDR with XML document by analyzing data elements based on MDR specification. The proposed synchronizing agent system using XMDR not only solves data heterogeneity for data interoperability in synchronizing data but also provides more efficient the agent system by offering errors of low frequency in the number of systems and requests of synchronizing data.

• Journal of information and communication convergence engineering
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• v.9 no.3
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• pp.287-294
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• 2011

This paper proposes a search system using the topic maps that it extends XMDR into Knowledge based XMDR for solving of the problems of the heterogeneity of distributed data on a network and integrate data by an efficient way. The proposed system combined Topic Maps and the extended metadata registry effectively. The Topic Maps represent related knowledge and reasoning relationship by associations of topic. And the extended metadata registry standards and manages the metadata of the local systems through registration and certification on the distributed environment. We also proposed a meta layer, include the meta topic and meta association to achieve semantic classification grouping of topics and to define relationship between Topic Maps and extended metadata registry.

• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.782-800
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• 2006

Image metadata is used to describe the contents, structures, and features of a given image data. There exist lots of image metadata-related standards. Such image metadata need to be shared to efficiently search the correct images in Web Service-enabled distributed environments. In this thesis, we propose an interoperable system architecture for utilizing image metadata and query extension methods using metadata mapping for correct and efficient image searching. In the proposed methods, the provider schema using non-standard image metadata are mapped into the schema based on the VRA standard, which is used as a basic and intermediary standard in MDR(MetaData Registry). We support mapping operations between the VRA standard and other standards, to reduce the number of unnecessary mapping operations and to enable easier addition of schema based on new standards. Using the proposed query processing methods, which utilize image metadata and overcome their heterogeneity by metadata mapping, it is possible to severely improve the correctness of image retrieval. To show the usefulness of our schemes, we implemented a prototype system and performed retrieval performance evaluation on extended query processing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.12
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• pp.3660-3667
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• 2009

Currently operated many information systems are faced up with various difficulties to exchange data and to cooperate between different systems because the factors, such as data exchangibility and system interoperability, are not considered during the system development from scratch. To overcome these problems, we attempt to apply e-Government Grid to resolve the heterogeneity of systems and propose Government Information Metadata Registry (GIMDR) for assurance of interoperability of distributed and independent information systems in e-government environments. Consequently, the case study is introduced to provide the seamless connection between distributed systems. The proposed e-Government Grid and GIMDR are expected to reduce the heterogeneity of the distributed systems for interoperability, as well as increase the accessability and transparency of cooperating information.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.355-361
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• 2006

It has lately been recognized that the sharing and exchanging of the research results information is the critical factor to improve the research productivity. So many institutions are planning or developing the information systems which provide the research information services for researcher. But it has very difficulty in integrating the research resources information due to the dispersion and heterogeneity in data sources, and semantic and structural difference in describing data. We propose the semantic web based methodology and conceptual framework for raising the interoperability of metadata about research results information, which will support the integration of the distributed research data for information services in the end. Finally we proposed the conceptual architecture of research information service system which shows the main components, the functional requirements, and the principal and design direction at implementing the system.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.40-46
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• 2022

Recently, as the need for data access by integrating information in a distributed cloud environment increases in enterprise-wide enterprises, interoperability for collaboration between existing legacy systems is emphasized. In order to interconnect independent legacy systems, it is necessary to overcome platform heterogeneity and semantic heterogeneity. To solve this problem, middleware was built using EMRA (Extended MetaData Registry Access) based on ISO/IEC 11179. However, the designed middleware cannot guarantee the efficiency of information utilization because it does not have an adjustment function for each node's resource status and work status. Therefore, it is necessary to manage and adjust the legacy system. In this paper, we coordinate the correct data access between the information requesting agent and the information providing agent, and integrate it by designing a cooperative agent responsible for information monitoring and task distribution of each legacy system and resource management of local nodes. to make efficient use of the available information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1637-1646
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• 2009

Recently many researchers have been studying various methods for data integration. Among the integration methods that the researchers have studied, there are a method using metadata repository, and Topic Map which identifies the relationships between the data. This study suggests Meta-Topic Map to create Topic Map about search keyword by applying metadata and Topic Map, and the XMDR as a way to connect Meta-Topic Map with metadata in the legacy system. Considering the semantic relationship of user's keyword in the legacy system, the Meta-Topic Map provides the Topic Map format and generates the Topic Map about user's keyword. The XMDR performs structural integration through solving the problem of heterogeneity among metadata in the legacy system. The suggested svides isproves the interoperability among existing Relational Database constructed in the legacy system and the search efficiency and is efficient in expanding the system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.7
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• pp.1701-1707
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• 2010

This study is intended for implementing the system environment that can help integrate and retrieve various types of data in real-time by providing semantic interoperability among distributed heterogeneous information systems. The semantic interoperability is made possible by providing a TMDR(Topicmaps Metadata Registry), a set of ontologies. TMDR, which has been made by combining MDR(MetaData Registry) and TopicMaps and storing them in the database, is able to generate distributed query and provide efficient knowledge. MDR is a metadata management technique for distributed data management. TopicMaps is an ontology representation technique that takes into consideration the hierarchy and association for accessing knowledge data. We have created TMDR, a kind of ontology, that is fit for any system and able to detect and resolve semantic conflicts on the level of data and schema. With this system we propose a query-processing technique to integrate and access heterogeneous information sources. Unlike existing retrieval methods this makes possible efficient retrieval and reasoning by providing association focusing on subjects.