Jae-Soo Kim

E-Government Grid System Based on Multi-agent for Interoperability

In this paper, we present e-government grid system to provide the seamless services to the public. The main goal of e-government systems is to promote the accessibility of government’s information created by the various processing among the public sectors. The needs of sharing data and processes from the legacy systems are currently increased. However, it is difficult to convert the interoperable infrastructure from distributed and independent legacy systems in governments. Further, it requires more cost, labor and times to gain the advantages from the legacy. In this paper, we suggest the grid based integrated environments to use the distributed legacy systems in ease, as to solve the issued problems. The grid environments consist of a set of grid-middleware that connects to database and systems. The grid-middleware should be light-weight and flexible to guarantee the integrity of the independent legacy systems. Therefore we describe the middleware based on the multi-agents and consequently show data interoperation from e-government grid system through the integration of legacy systems. It is expected to reduce cost and time, as well as easily builds the cooperating environments on government’s legacy systems.

e-Government Grid System for Information Interoperability

Abstract 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. Key Words : e-Government Grid, GIMDR(government information metadata registry), Information heterogeneity, Interoperability, Cooperating system

An useful method for scene categorization from new video using visual features

The amount of multimedia and broadcasting contents is increasing; on the other hand, modern people want to use selectively and quickly only important part. This propensity to consume makes consumer or service provider need an efficient technology about summary extraction and important scenes detection from whole video. Especially news headlines are very important part that summarize about one hours of news video. So we proposed a method to extract headlines scenes automatically from news video as well as categorize anchorperson scene and reporter scene using multiple MPEG-7 visual features. Firstly multiple features are extracted from key frames which represent each shot divided by the shot-boundary making process. And some shots are classified to news headlines part, anchorperson part, and reporter part by threshold calculating and decision after combination of multiple visual features. Experimental data show the proposed method provides good performance in automatic scene categorization from whole news video. Our method could be applied efficiently in news video highlight, summary service or vod service.

An evaluation-committee recommendation system for national R&D projects using social network analysis

Korean National Science & Technology Information Service (NTIS) provides a service of evaluating national R&D projects and providing such evaluated national R&D projects along with their participating researcher information. It also provides a service of recommending and selecting evaluation committees for the R&D projects. Transparency is an important aspect that should be ensured on the evaluation process of the national R&D projects. Thus, the recommending unfamiliar evaluation committees with the participants of the R&D projects are one of the important aspects that can ensure the transparency for the evaluation process. In this paper, we present an evaluation-committee recommendation system using an online detection method of researcher connections by a partitioning-based clustering algorithm and random walks. The clustering algorithm enables us to partition the network to number of small graphs that can be processed via random walks. Then, we can rank the connection weight of each suspicious researcher according to a researcher in charge of a R&D project and we can exclude the researchers having higher connection weight from the evaluation committee of the R&D project. In addition, we also present a text-data refinement and entity identification method using Jaro–Winkler distance algorithm to construct more precise researcher network.

An empirical analysis of technology transfer of national R&D projects in South Korea

This study is aimed at seeking policy implications for the policy makers of South Korean government and finding a direction to support R&D institutions in performing R&D activities more efficiently, by analyzing the factors influencing technology transfer of the national R&D projects. The data retrieved from NTIS (National Science & Technology Information Service) was used in analyzing the results of 575 projects with 1,903 cases of technology transfer, performed by the Ministry of Science, ICT and Future Planning, between 2002 and 2012. We found that there were significant differences between the government funded institutions and the universities and between basic R&D and applied ones. We also discovered that the government funded institutions did not necessarily take a better position than the universities in terms of the quantity of technology transfer. Lastly, the applied R&D of the universities was very vulnerable in terms of technology transfer.

Data Quality Management Based on Data Profiling in E-Government Environments

Recently, it is important to manage the quality of e-government data for guaranteeing the reliability of e-government to the public and being consistent in interoperating that data among legacy information systems in e-government environments. Data quality management is to try removing an invalid data and manipulating an incomplete or a revisable data on running database. So it is necessary that discovering, analyzing and reviewing that data which caused distrust in e-government. Data profiling is a process of analyzing location, structure, value of data and data profile included metadata for managing the valid data among that systems. In this paper, we present an approach of data profiling among legacy information systems in e-government environments to manage the quality of data and to guarantee the reliability of e-government to the public. So we enumerate some invalid, incomplete and revisable data that is needed to manipulate in proper. The proposed approach will be caused the advanced data quality of e-government and reliability to the public.

Integrated Information Retrieval for Distributed Heterogeneous Ontology Systems

In this paper, we propose a novel system that integrates heterogeneous semantic web systems based on schema mapping. The user can generate only one SPARQL query using the integrated schema without the necessity of checking the schemas of individual systems each time thereby reducing additional costs to generate queries for individual systems. Furthermore, the user is not required to collect individual query results manually after performing a query and additional costs for reestablishing systems can be reduced because no change in existing system structures is required. If currently established systems are expanded by adding the schema structures of other ontology systems, the cost to establish another integrated retrieval system can be saved. To evaluate our approach, we have implemented a prototype that integrates two national information retrieval systems.

An analysis of science and technology statistics trend and utilization: a case study in Korea

This study aims to analyze utilization of science and technology statistics through the science and technology statistics system which collects and provides science and technology statistics information in a systematic manner and propose a plan to strengthen the use of services. For this, it attempted to survey the current development of science and technology statistics system and trend of science and technology statistics, present analysis results and suggest a plan to strengthen the use of service.

A Design of R&D Planning Workbench Based on Research Outcome Analysis

Open collaboration based R&D activities such as research planning, development, and sharing of outcome has become an important issue recently. However, a information analysis system for supporting open collaboration based R&D planning is not sufficient. For this reason, R&D planning is dependent on the knowledge of a few planning experts, rather than the result of information analysis. This paper proposes a service model for supporting research planning based on outcome analysis in the phase of R&D planning, called R&D planning workbench. The R&D planning workbench is composed of R&D planning activities, R&D planning support services, and three different types of outcome analysis tools. We expect to enhance competitive power by constructing global collaborative network, promoting strategies by objective evaluation respect to research performance of individuals or institutions.

Dynamic Relation Management of Hierarchical Data for Interoperability in Distributed Environments

Data heterogeneity and complexity of its relation make difficult to interoperate among legacy information system in a geographically distributed environment. It is necessary to find a way to guarantee the reliability of interoperation among them. In reality, it is difficult to deal with this kind of problems only through the relational mapping because its nature of volatility, the relationship of hierarchical data tends to be frequently changed and modified by the policy. Therefore, this paper describes the several cases on changed relation in distributed and hierarchical data in context of the interconnection with legacy information systems on going, and presents the solution based on hybrid-XMDR which was proposed by our pre-researches. Hybrid-XMDR is a conceptual approach as the solution dealing with data and relation heterogeneity in the distributed information systems. It is extended to handle the relationship of hierarchical data from our pre-researches. In pre-researches, we have applied XMDR for interoperability to solve the data heterogeneity in the distributed environments and overcome the heterogeneity of structure, semantic and representation. In this paper, we attempt to apply for solving the two problems such as data and relation heterogeneity using hybrid-XMDR. It is expected to reduce the heterogeneity problems for interoperating among the distributed and independent legacy systems.