• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.235-236
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• 2016

The importance of construction management has been increasing due to the fact that complex construction projects blend several different industries depending on the traits of the construction. This research was conducted to search for a method to enhance efficiency in cost management of construction project and meet the need for reusability of accumulated construction information. The process of detailed estimation and methodology for using standard unit price information has been developed to strengthen the interoperability in cost information by utilizing a standard classification system. The concept of ontology is proposed as a method of connecting construction information based on a standard breakdown structure to increasing the connectivity of the cost information in the construction project. Therefore, construction information knowledge framework is developed in order to improve the efficiency of the detailed estimation work process.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.405-412
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• 2008

It is certain that knowledge sharing is critical phenomenon to be concerned in web 2.0 days. Today, people can learn anything they want to know such as recipes or even with regard to the knowledge in the specific field through internet. In this trend, blog has settled down to the major part of Web 2.0 culture. There are various kinds of activities through blog vigorously. Still, people can not recognize how important information they upload is, i.e., they should take the responsibilities for information so that it can be more clear, exact and trust-building.

• Journal of Intelligence and Information Systems
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• v.3 no.2
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• pp.93-104
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• 1997

The major economic health problem of dairy cattle is mastitis which can affect 10 to 50% of cow-quarters. This health problem is difficult for many dairy farmers and health advisors to understand, diagnose and control. Without special laboratory testing, most mastitis is overlooked. Estimates of annual mastitis cast per cow vary from $50 to $200. For the nearly 9 million cows in the United States, annual loss to the dairy industry amounts to over one billion. A knowledge-based decision aid has been developed to evaluate mastitis data retrieved electronically from two of nine U. S. regional dairy records processing centers. Heuristic rules to diagnose herd mastitis problems were collected and incorporated into the system from various domain experts. This system information. It allows users to select mastitis control schemes with various degrees of aggressiveness and teaches commonly accepted mastitis control practices.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.65-75
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• 2019

As the use of semantic web based on XML increases in the field of data management, a lot of studies to extract useful information from the data stored in ontology have been tried based on association rule mining. Ontology data is advantageous in that data can be freely expressed because it has a flexible and scalable structure unlike a conventional database having a predefined structure. On the contrary, it is difficult to find frequent patterns in a uniformized analysis method. The goal of this study is to provide a basis for extracting useful knowledge from ontology by searching for frequently occurring subgraph patterns by applying transaction-based graph mining techniques to ontology schema graph data and instance graph data constituting ontology. In order to overcome the structural limitations of the existing ontology mining, the frequent pattern search methodology in this study uses the methodology used in graph mining to apply the frequent pattern in the graph data structure to the ontology by applying iterative node chunking method. Our suggested methodology will play an important role in knowledge extraction.

• Journal of Smart Tourism
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• v.1 no.4
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• pp.19-30
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• 2021

Smart tourism and associated topics have been extensively discussed by scholars around the world. The goal of this study is to make available an all-inclusive database-based analysis of the longitude status of research on smart tourism. Three databases, Web of Science (WoS), Science Direct and China Knowledge Network (CNKI), were utilized to gather papers published from 2011 to 2020. The data results were analyzed and results were generated using CiteSpace. The results of Chinese and English papers were evaluated to form the conclusion of this study. The implication formed the prediction of future research trends and development suggestions.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.3
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• pp.178-186
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• 2022

In order to support biomimicry technology development, it is necessary to develop an omnidirectional service platform which can recommend principles of biomimicry and business ideas, providing experts' networks and carrying out their relevant education and promotion on the ground of baseline data and application research materials related to biomimicry. This study was conducted to establish any probable plans for construction and utilization of the future open-platform which will collect and serve the technology of biomimicry. Accordingly, biological and ecological information databases were examined along with the appreciation of construction and management of major biomimicry DB, and, based on the materials from the interview of related experts, a customer journey map was schematized. Lastly, in order to suggest a mid-to-long-term target-model, the roles of a future biomimicry knowledge service-platform were determined along with the potential plans for its construction and management based on case analysis and customers' needs.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.143-163
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• 2018

The business models has a great impact on the successful management of enterprises. Business environment has been shifting from industrial economy to knowledge-based economy. Enterprises go through numerous trials for successful management in the changing environment. Along with trial tests, research areas have been growing simultaneously. Although many researches have been conducted with regard to business models, it is very insufficient to systematically analyze the knowledge flow of research. Accordingly, successive researchers who want to study the business model may find it difficult to establish the orientation of future application research based on understanding the process of changing the knowledge structure that have accumulated so far. This study is intended to determine the current state of the business model research and to understand the process of knowledge structure changes in keywords that appear in 2,667 business model articles in the SCOPUS database. Identifying the knowledge structure has been completed through social network analysis, a methodology based on the 'relationship', and the changes in the knowledge structure were identified by classifying them into four different periods. The analysis showed that, first, the number of business model co-author increases over time with the need for academic diversity. Second, the 'innovation' keyword has the biggest center in the network, and over time, the lower-rank keyword which was in the former period has emerged as the top-rank keyword. Third, the cohesiveness group decreased from 12 before 2000 to 5 in 2015 and also the modularity decreased as well. Finally, examining characteristics of study area through a cognitive map showed that the relationships between domains increased gradually over time. The study has provided a systematic basis for understanding the current state of the business model research and the process of changing knowledge structure. In addition, considering that no research has ever systematically analyzed the knowledge structure accumulated by individual researches, it is considered as a significant study.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.213-237
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• 2009

Local culture is a cultural heritage that has come down from generation to generation in the natural environment of a region. It includes history, tradition, natural features, art, and historic relics. The Academy of Korean Studies has complied "The Encyclopedia of Korean Local Culture" using those local culture contents. Local culture content shave the features of documentary, such as authenticating the source, and managing hierarchy structure. Thus, to deal with local culture contents, a "circular knowledge information management system" is sought for that helps basic, fragmentary, and high-level information to circulate to create new knowledge information within the system. A user of this circular knowledge information management system is able not only to collect data directly in it, but also to fetch data from other database. Besides, processing the collected data helps to create new knowledge information. But, it's very difficult to sustain the features of the original hierarchy bearing meaning contained in the various kinds of local culture contents when building a new database. Moreover, this kind of work needs many times of correction over a long period of time. Therefore, a system in which compilation, correction, and service can be done simultaneously is needed. Therefore, in this study, focusing on the case of "The Encyclopedia of Korean Local Culture", I propose a XML-based digital compilation management system that can express hierarchy information and sustain the semantic features of the local culture contents containing lots of ancient documents, and introduce the expanded functions developed to manage contents in the system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.205-212
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• 2016

Recently, researches for the integration and standardization of clinical data in the Western medicine and Korean medicine is in progress. If an integration of similar clinical data as well as heterogeneous clinical data is possible based on one standardization, we can able to derive implicit medical knowledge from integrated clinical data. In this paper, we implemented Korean clinical database based on internationally known CDISC standardization to efficiently store Korean clinical data and constructed E-CRF system for convenient data input in clinical sites. Furthermore, we showed example of an integration of Korean clinical data from 4 clinical sites. The results of our study will help to establish the foundation for the extraction of implicit medical knowledge from integrated clinical data. Also, our results may support efficient management through data integration, prevention of repetitive or unnecessary clinical trials, facilitation of collaborative study and convenient research through the distribution of refined clinical data.

• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.83-100
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• 2008

It is becoming more essential than ever for office professionals to become competent in information processing through fast response to the stimuli and needs coming from the current global business society which is controlled by the speed of improvement of information technology. Office professionals' success in business today depends on the level of job competency and the professional development that are required for problem solving in a global business environment. The main purpose of this research is to design a database for office professionals according to the recent result of DACUM job analysis for office administrators and implement a prototype with various kinds of services in five major categories such as human relationship management, event management, project management, special occasion management, and office knowledge management. The result of this study can be utilized to enhance the levels of both productivity and professionals.