Youn-Gyou Kook

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

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.

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.

R&D Information System to Support Knowledge Creation

In this paper, we introduce a web-based national Research & Development (R&D) information system that is called ‘Open R&D Knowledge Service’. It is based on the SECI model of knowledge creation theory for supporting knowledge creation process on a national basis. The R&D information system gathers and shares tacit and explicit R&D knowledge through three separate services - Open R&D encyclopedia service, Knowledge Q&A service and Precedent R&D Information service -utilizing crowdsourcing and accumulated government-funded R&D outcomes.

An approach to access the distributed data based on the multi-agent system for interoperability

In this paper, we present an approach to access the distributed data for interoperability in the distributed environments based on the multi-agent system that is designed on the proposed structure of multi-agent by FIPA(IEEE Foundation for Intelligent Physical Agents). This multi-agent system is light weight platform at the legacy system to be without external influence. To build up a domain that is consists of the legacy systems, we deploy the multi-agent platform at that system to perform the goal of the domain. The proposed approach can build up the various multi-domain configurations have the goal that must be performed in the distributed environments. This reduced the cost of building the infrastructure to interoperate the distributed data and expanded the scope of using that.

Data Aggregation Using Mobile Agent Mechanism on Distributed Sensor Networks

In this paper, we propose mobile agent mechanism to efficiently aggregate data on distributed sensor networks (DSN), and describe the itinerary of mobile agent to establish by the sink node. The proposal of this mechanism is to reduce consumption of sensor network energy, network bandwidth and the limited resources. This mobile agent mechanism is based on mobile-agent-based DSN (MADSN) which the sink node migrate mobile agent to the sensor node on multicasting based on the binomial tree. It reduces time-cost to aggregate sensor data on MADSN.

Issues on Selecting National R&D Project

Because of the difficulties on selecting National R&D projects, it is expected that the errors of decision making can be reduced if the information on project (i.e. project duration, people, budget etc.), and its evaluation result is properly provided to stakeholders as a reference. In reality, however, the result of project evaluation is rarely utilized in its own purpose. One reason is that the information on evaluation result and budget is not shared amongst stakeholders at the right time. The other is that the interconnection between systems to support the R&D evaluation and budget information is not realized yet for further utilization. Therefore, this paper is focused on the improvement of decision process that reviews and selects the R&D project to provide relevant information through the data mapping approaches from different system domain and to suggest the enhanced process for the seamless interconnection between National R&D performance evaluation and budget information.