Wongoo Lee

Development of Web Crawler for Archiving Web Resources

There are no way of collection, preservation and utilization for web resources after the service is terminated and is gone. However, these Web resources, regardless of the importance of periodically or aperiodically updated or have been destroyed. Therefore, to collect and preserve Web resources Web archive is being emphasized. Web resources collected periodically in order to develop Web archiving crawlers only was required. In this study, from the collection of Web resources to be used for archiving existing web crawlers to analyze the strengths and weaknesses. We have developed web archiving systems for the best collection of web resources.

Comparison and Analysis of Science and Technology Journal Metadata

It is important to manage large amount of information from various information providers for supporting recent information services such as providing global research trends, detecting emerging signal and listing leading researchers. For integrated management, definition of integrated metadata schema, data transformation and schema matching are needed. It is first necessary to analyze existing various metadata for defining integrated metadata schema. In this paper, we have analyzed several metadata of scientific journal papers by classifying semantics, content rules and syntax, and looked around considerations to make integrated schema or transform metadata. We have known that XML is used as a syntax for supporting convenience and various usage condition, and hierarchy element names and common elements in semantics are needed. We also have looked at elements having various content rules and related standards. We hope that this study will be used as basic research material of metadata integrated management, data transform and schema matching for interoperability.

Systematical Classification Scheme Management to Provide Efficient National R&D Service in P2P

It is necessary to systematically classify and manage contents in various fields for systematic management, accurate analysis and efficient service of national R&D information in P2P. However, it is not fully applied to the current national R&D information related services in P2P. This study aims to analyze the NSSTCS (National Standard Science and Technology Classification Scheme) which is a current standard classification system under the national science and technology knowledge information service and classification systems under national R&D project management authorities in P2P, to find schemes for interconnection as a system, and to develop a scheme for history management of each classification or of executing it through a system. Such system-based management for national R&D information classification systems will contribute to facilitating easy management and systematic provision of explosively increasing information in various fields as well as R&D information. It is also expected that this result will contribute to provide significant services which are not provided currently to users in P2P.

ETL-based interoperable data management system

An explosive increase of information and demand for inter-contents association knowledge has made clear the need for integrated contents management. With contents being managed in various ways, the issue of maintaining interoperability among data also has been a consistent concern. This paper proposes possible solutions for the integration of contents management and the unification of the management processes. It has been proven that the e-Tracer system is easy to use and appropriate to the integration of metadata through user’s usage and it is able to maintain interoperability for different types of contents.

Optimization and Performance Analysis of Distributed Parallel Processing Platform for Terminology Recognition System

Many statistical methods have been adapted for terminology recognition to improve its accuracy. However, since previous studies have been carried out in a single core or a single machine, they have difficulties in real-time analysing explosively increasing documents. In this study, the task where bottlenecks occur in the process of terminology recognition is classified into linguistic processing in the process of `candidate terminology extraction` and collection of statistical information in the process of `terminology weight assignment`. A terminology recognition system is implemented and experimented to address each task by means of the distributed parallel processing-based MapReduce. The experiments were performed in two ways; the first experiment result revealed that distributed parallel processing by means of 12 nodes improves processing speed by 11.27 times as compared to the case of using a single machine and the second experiment was carried out on 1) default environment, 2) multiple reducers, 3) combiner, and 4) the combination of 2)and 3), and the use of 3) showed the best performance. Our terminology recognition system contributes to speed up knowledge extraction of large scale science and technology documents.

Semi-Automatic Management of Classification Scheme with Interoperability

Under the knowledge-based economy in 21C, the convergence and complexity in science and technology are being more active. Therefore, we have science and technology are classified properly, make not easy to construct the system to new next generation area. Thus we suggest the systematic solution method to flexibly extend classification scheme in order for content management and service organizations. In this way, we expect that the difficult of classification scheme management is minimized and the expense of it is spared.

An Management of Digital Contents on Science and Technology

It needs a management system that managers manage more conveniently, faster, more systematically and Users use faster, more various, more reliable, more discriminatory, higher value-added services on science & technology informations. Thereupon, We design and implement DiCMS(Digital Contents Management System) standardized and unified in a variety of literature data.

A robust digital fingerprinting mechanism for digital copyright protection

As demand for digital fulltext-image with fast development of super high speed communication network is increasing in digital contents industry, its scale is increasing exponentially every year. However, this fulltext-image is illegally reprinting and distributing widely, and this brings about the problems of its copyrights and proprietary rights. To solve this problems, many techniques such as DRM(Digital Right Management) or digital watermarking is receiving study. The digital fingerprinting is one method of right protection of new multimedia based on digital watermarking. Consequently, we design robust watermarking algorithm, which can resist a various attack, construct digital fulltext-image framework for copyright service, and apply them in our digital fulltext-image protection system.

Response against hacking and malicious code in p2p

We have analyzed attacks on and threats to information security, and analyzed information security service in order to provide safe P2P service from these threats. And we have proposed a method to provide information security service studied. It is the method that applies vaccine software to P2P application at peer and designing key distribution protocol to P2P communication environment for confidentiality and integrity.