• Journal of the Korean Geographical Society
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• v.49 no.2
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• pp.310-319
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• 2014

The purpose of this study was building a new method for map making with a toponym by connecting a toponym DB with a digital topographic map DB. First, the table of toponym history in the toponym DB was revised. Second, a table linking the toponym DB and the digital topographic map DB was added. To integrate the toponym DB and the digital topographic map DB, a loose-coupling method was suggested and the combination of legal Dong and a toponym could be used as ID for liking those two databases. Thus, the method presented in this study would be used for effective map making using a toponym. Through the improvement of a toponym DB, it is expected the active use of the toponym DB such as map making.

• Journal of the Korean Society for Library and Information Science
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• v.34 no.3
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• pp.109-132
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• 2000

With purpose of improving library technology, one of the core elements of library automation technology, are suggested. The results of the study revealed article database standards briefly described as follows: First, database concerning articles in serials are generated from previous indices & abstracts journals. Second, bibliographic elements of ten representative domestic and international bibliographic database systems showed many dissimilar descriptive field types, as well as differences in entry orders and details. Third, database standards or guidelines were non-existent in domestic and international bibliographic database agencies, and different format have been adapted among those agencies. It is strongly recommended that all library should create a plan for adapting internationally standards in data input format as well as output format. Fourth, conforming with ISO 690 bibliographic descriptions, their ten components will be adapted as the basic framework for building the database and appropriately select additional seven data components of total 17 categories.

• Journal of Navigation and Port Research
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• v.29 no.10 s.106
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• pp.883-890
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• 2005

Database Integration problems has been recognized as a critical issue for effective logistics service in logistics environment. However, researches related to effective methodology for this have been studied theoretically in the DB schema integration, are insufficient in the side of the system realization. The aim of this paper is to present a schema integration technique to integrate DB using XML( eXtensible Markup Language) in the part of practical DB integration, a quantitative methodology for the identification of conflict that is a representative problem on database integration. To achieve this aim, we extracted the entity name and attribute name from DB schema and suggested a quantitative methodology to easily fine name conflict that frequently give raise to a trouble when schema integration, based on the level of semantic similarity between attributes and entities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2851-2858
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• 2011

The schedule management in construction project have been performed independently by two method, WBS base management and CBS based management, However, the integrated management model is needed according to efficiency of construction project management and introduction of new EVMS system of KOREA government. For this purpose, interworking database system is designed through efficient modeling of WBS based management data and CBS based management data and relation establishment between entities in this paper. WBS based management DB consists of 4 entities and CBS based management DB consists of 3 entity and one of the 4 WBS DB entities is used to play interworking role between WBS and CBS, Also, attributes of all entities are well defined so that data consistency, integrity and newest are guaranteed. The designed interworking database model was realized using Nex-Pert Pro and the efficiency of data interworking was proved.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.353-360
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• 2005

Database Integration problems has been recognized as a critical issue for effective logistics service in logistics environment. However, researches related to effective methodology for this have been studied theoretically in the DB schema integration, are insufficient in the side of the system realization. The aim of this paper is to present a schema integration technique to integrate DB using XML(eXtensible Markup Language) in the part of practical DB integration, a quantitative methodology for the identification of conflict that is a representative problem on database integration. To achieve this aim, we extracted the entity name and attribute name from DB schema and suggested a quantitative methodology to easily fine name conflict that frequently give raise to a trouble when schema integration, based on the level of semantic similarity between attributes and entities.

• Journal of Information Processing Systems
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• v.18 no.3
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• pp.374-388
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• 2022

Database systems usually have many parameters that must be configured by database administrators and users. RocksDB achieves fast data writing performance using a log-structured merged tree. This database has many parameters associated with write and space amplifications. Write amplification degrades the database performance, and space amplification leads to an increased storage space owing to the storage of unwanted data. Previously, it was proven that significant performance improvements can be achieved by tuning the database parameters. However, tuning the multiple parameters of a database is a laborious task owing to the large number of potential configuration combinations. To address this problem, we selected the important parameters that affect the performance of RocksDB using random forest. We then analyzed the effects of the selected parameters on write and space amplifications using analysis of variance. We used a genetic algorithm to obtain optimized values of the major parameters. The experimental results indicate an insignificant reduction (-5.64%) in the execution time when using these optimized values; however, write amplification, space amplification, and data processing rates improved considerably by 20.65%, 54.50%, and 89.68%, respectively, as compared to the performance when using the default settings.

• Journal of Korean Medical classics
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• v.22 no.2
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• pp.305-313
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• 2009

With the recent increase of social demand of knowledge on traditional medicine, the construction of database is becoming a pressing matter. The reality is that while the social desire to adapt the high quality knowledge is growing fast, the field of Oriental Medicine has yet to organize its system. The number of Oriental Medical Doctors are limited, and there is no structured means of communication to expand the professional knowledge of these specialists to the public. Accordingly, an effective and structured knowledge system is in great need. In the process of building an Oriental Medicine database, prescription[方劑] and medicines[本草] are first in line. Consequently, we have taken the first step by organizing various methods to build the database containing information such as the formula, ingredients, composition, handling methods of herbal medicine written in traditional medical publications and herbal texts before the Song(宋) dynasty.

• Journal of the Korean Data and Information Science Society
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• v.18 no.1
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• pp.161-174
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• 2007

In this paper, we propose a high performance database cluster system called HyperDB to process OLAP queries efficiently. HyperDB is a virtual database system running on top of internet-connected PCs; the PCs are used for their own purpose at ordinary times, but they are able to participate in the database cluster system at non-office hours. We propose fully logical replication technique and optimal parallel intra-query routing technique for extensibility and performance. Experiment for TPC-R benchmark shows significant performance upgrade compared with conventional approaches.

• Journal of the Korea Society of Computer and Information
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• v.23 no.3
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• pp.41-48
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• 2018

The recent sudden increase of big data has characteristics such as continuous generation of data, large amount, and unstructured format. The existing relational database technologies are inadequate to handle such big data due to the limited processing speed and the significant storage expansion cost. Current implemented solutions are mainly based on relational database that are no longer adapted to these data volume. NoSQL solutions allow us to consider new approaches for data warehousing, especially from the multidimensional data management point of view. In this paper, we develop and propose the integrated design methodology based on MongoDB for big data applications. The proposed methodology is more scalable than the existing methodology, so it is easy to handle big data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.631-634
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• 2014

When to build a Web and Cloud Computing environment, it is essential to used a database system. Database systems includes commercial programs, such as Oracle and MS-SQL, but also similar to the performance of commercial applications, there are many free programs. In particular, PostgreSQL, MySQL, MariaDB are no costs, but the source is open to the public can be applied to a variety of environments. This paper presents an open source relational database management system, the trends are examined.