Chi-Gon Hwang

A Design of K-XMDR Search System Using Topic Maps

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.

MCSOSA: multimedia content share using ontology and secure access agent in mobile cloud

Mobile cloud is not just a traditional cloud, but a concept of virtualization that has expanded into mobile technology. It provides access to the data created and used by a user and content service by cloud platform. A feature of mobile cloud is supported that is the convenience of multimedia content sharing by mobile devices. However, there is a problem of inaccuracy of information retrieval in the process of sharing as well as personal information leakage and service inability status due to the malicious access to the mobile terminal in the retrieval process. This paper suggests the model to which the protective technique of multimedia content retrieval & access in mobile cloud is applied. The model stores and manages the individually different forms of content, and constructs the multimedia ontology in order to enhance the reliability in mismatched problems occurring in the retrieval process, and also suggests the response technique to security vulnerability occurring in the content access.

TMDR-Based Query Conversion for Data Integration in a Distributed Network

Corporate data are divided vertically or horizontally in the network by their functions. In this study, we propose a TMDR-based query conversion method to access these data by means of integration. TMDR is a repository that combines MSO for schema integration and Topic Maps for semantic integration of data. In methodology, the global query is created for global processing using TMDR, and the resulting global query is broken down into local schema to access distributed systems in a network, enabling integrated access. We propose a method of converting global query and local query for this purpose.

The Study of Service Integration using Ontology-based Service Association

Abstract Recently, most of computing technology is based on web. Therefore, the users register web services or needed resources, and they can find and use the registered item. These services can be used alone or can be used in combination. When the item is used in combination, the ordering and association of service is important, and an ontology that defined association of services is required. In this paper, we define association of services based on ontology, and propose a method that can be used by services integration. The proposed method provides an efficient retrieval service by compositing the ontology with the service area and data association area. Key Words : Service Integration, Service Ontology, Data Ontology, Service Association * 본 논문은 2013년 광운대학교 연구비에 의하여 지원되었음.Received 30 December 2013 , Revised 7 February 2014Accepted 20 February 2014Corresponding Author: Kye-Dong Jung(Div. of General Education Information Engineering, Kwangwoon University) Email: gdchung@kw.ac.krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.otg/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.

Cooperation System Design for the XMDR-Based Business Process

This paper proposes a cooperation system for the XMDR-based business process. The proposed system solves the problem of heterogeneousness that may take place regarding interoperability of queries in a XMDR-based business process. Heterogeneousness in an operation of a business process may involve metadata collision, schema collision, or data collision. This can be handled by operating a business process by making use of XMDR-based Global Query and Local Query.

The Design of Integrated system for the cloud-based medical Information sharing

Development of IT technology, in combination with the medical area, a number of developments have been made of the digital advanced medical devices, also increased interest in health, sharing of medical information has become increasingly necessary. Standardization for medical information sharing to satisfy these requirements have been studied. However, the medical information system is to build a system independent hospital itself, is difficult to share and exchange medical data with other medical institutions. In this paper, we provide a medical cloud system that can share medical information. Use DBaaS of cloud services. And is an international standard to have a HL7 share information by forming a meta-schema, each of the data transfer, the format of the document oriented data solves the heterogeneity between hospitals. Extracts the required field name of examination information, to exchange information with each of the local information and mapping. Health diagnostic information in the present study and diagnosis through accurate information sharing and exchange is possible ongoing management.

A Study on Reuse Technique of Software for SaaS Using Process Algebra

【SaaS provides software hosted on the cloud computing in a form of service. Thus, it enables the extension of service functions by combining or reusing the existing software. As an analysis technique, this paper suggests a method of verifying the reusability of a process by analyzing it with the process algebra. The suggested method can confirm the reusability of existing software, ensure the consistency of modifications by tenants or requests, and provide probabilities of combining processes.】

The Design of XMDR Data Hub for Efficient Business Process Operation

Recently, enterprise systems require the necessity of integration for data sharing and cooperation. As a methodology for integration, Service-Oriented Architecture for service integration and Master Data for integration of data, which is used for service, were appeared. This paper suggests a method that operates BP(Business Process) efficiently. We make XMDR(eXtended Meta Data Registry) as knowledge-repository to support the BP and construct data hubs to operate it. XMDR manages MDM(Master Data Management) to integrate the data, resolves heterogeneity between the data and provides relationship to the business efficiently. This is composed of MDR(Meta Data Registry), ontology and BR(Business Relations). MDR describes relationship between meta data to solve structured heterogeneity. Ontology describes semantic heterogeneity and relationship between data. BR describes relationship between tasks. XMDR data hub supports the management of master data and interaction of different process effectively.

A Study on Distribution Query Conversion Method for Real-time Integrating Retrieval based on TMDR

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.