• Journal of the Korean Society for information Management
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• v.2 no.2
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• pp.3-37
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• 1985

This research deals with the problems encountered in designing systems for more efficient and effective information retrieval used in the proliferation of literature. This research was designed to develop and test 1) the partitioning a large bibliographic data base into quality oriented subsets (quality filtering), and 2) a system for effective and efficient information retrieval within subsets of data base (relevance). In order to accomplish this partitioning, the 'kernel' technique of graph theory was applied. In addition, a method of quality filtering utilizing the 'epidemic' theory and the 'obsolescence' of scientific literature was developed.

• Information Systems Review
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• v.8 no.2
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• pp.73-102
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• 2006

The success of a Web information system(WIS) can be achieved only if it is developed in a proper and rigorous manner. As WIS has currently assumed a greater significance in organizations, WIS developers need a better understanding of methodologies supporting the process of developing WIS. Existing literature provides few guidelines to the WIS developers. This work provides a comprehensive review and a comparative study of the current approaches available in the WIS field that use different methodologies and techniques to develop WIS. The goal of this paper is to compare the WIS development methodologies and techniques in literature, provide practical guidelines, and generate new research issues.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.4
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• pp.119-131
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• 2014

This study discusses the results of an empirical study carried out to illustrate the key issues that need to be addressed to ensure accounting information quality (AIQ). The study also focuses on the factors of trust and risk as they impact the intention to use accounting information from accounting information systems(AIS). The factors that might impact on accounting information quality have been summarized from the existing literature on previous studies in this area. This study proposes a research model for key issues that have an impact on accounting information quality based on the literature. I use the empirical results of this study to discuss the key components of the research model.

• Proceedings of the Korean Society for Language and Information Conference
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• 1994.02a
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• pp.193-202
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• 1994

• Journal of the Korean Society for information Management
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• v.3 no.1
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• pp.3-16
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• 1986

This research deals with the problems encountered in designing systems for more efficient and effective information retrieval used in the proliferation of literature. This research was designed to develop and test 1) the partitioning a large bibliographic data base into quality oriented subsets (quality filtering), and 2) a system for effective and efficient Information retrieval within subsets of data base (relevance). In order to accomplish this partitioning, the 'kernel' technique of graph theory was applied. In addition, a method of quality filtering utilizing the 'epidemic' theory and the 'obsolescence' of scientific literature was developed.

• Bioinformatics and Biosystems
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• v.1 no.1
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• pp.51-60
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• 2006

The paradigm in biology is currently changing from that of conducting hypothesis-driven individual experiments to that of utilizing the results of a massive data analysis with appropriate computational tools. We present LayMap, an implemented visualization system that helps the user to deal with a high volume of the biomedical literature such as MEDLINE, through the layered maps that are constructed on the results of an information extraction system. LayMap also utilizes filtering and granularity for an enhanced view of the results. Since a biomedical information extraction system gives rise to a focused and effective way of slicing up the data space, the combined use of LayMap with such an information extraction system can help the user to navigate the data space in a speedy and guided manner. As a case study, we have applied the system to datasets of journal abstracts on 'MAPK pathway' and 'bufalin' from MEDLINE. With the proposed visualization, we have successfully rediscovered pathway maps of a reasonable quality for ERK, p38 and JNK. Furthermore, with respect to bufalin, we were able to identify the potentially interesting relation between the Chinese medicine Chan su and apoptosis with a high level of detail.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.234-255
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• 2002

Despite of the importances, grey literatures are often overlooked as a resource in libraries because they have always had the reputation of being obscure and difficult to locate. Thus, an information system and network for the management of grey literature is essential to the improvement of Korean R&D in science and technology. The Results of the research are as follow : - Declare the clear definitions and types of grey literatures - Suggest the utilizing methods of grey literatures - Identify the major functions or requirements of National Information Center on Grey Literature.

• Journal of Computing Science and Engineering
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• v.2 no.2
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• pp.109-136
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• 2008

In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches. In addition, biomedical ontologies enable us to resolve many linguistic problems when text mining approaches handle biomedical literature. As the first example of text mining, document clustering is surveyed. Because a document set is normally multiple topic, text mining approaches use document clustering as a preprocessing step to group similar documents. Additionally, document clustering is able to inform the biomedical literature searches required for the practice of evidence-based medicine. We introduce Swanson's UnDiscovered Public Knowledge (UDPK) model to generate biomedical hypotheses from biomedical literature such as MEDLINE by discovering novel connections among logically-related biomedical concepts. Another important area of text mining is document classification. Document classification is a valuable tool for biomedical tasks that involve large amounts of text. We survey well-known classification techniques in biomedicine. As the last example of text mining in biomedicine and healthcare, we survey information extraction. Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. We also address techniques and issues of evaluating text mining applications in biomedicine and healthcare.

• Journal of the Korean Operations Research and Management Science Society
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• v.36 no.3
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• pp.61-74
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• 2011

The objective of this study is to evaluate the effects of sharing uncertain yield information with a downstream supply chain player. We are interested in understanding how the amount of yield uncertainty affects the supply-side benefits and/or costs, which has not been considered in the literature, in addition to the customer-side benefits. With that purpose, this work evaluates a supplier who provides yield information in comparison with another supplier who shares no information. We simulate an order-up-to type heuristic policy that is adapted from the literature and reasonably modified to represent yield information sharing with error. From the simulation study, we argue that the customer would experience cost reduction, but the cost for supplier's inventory is increasing when sharing yield information. Furthermore, the amount of benefits and costs are situational and affected by level of yield uncertainty and demand variance. Based on the simulation study, we finally make several recommendations for the supply-side approaches to yield information sharing.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.19-46
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• 2024

In this study, we conducted a literature review and exploratory research to identify the characteristics of recently popular video information and to propose the basic capabilities required for video information literacy. Through a literature review, the distinct characteristics of video information were examined from various perspectives, differentiating it from other types of information. Subsequently, we had one-on-one, in-depth, semi-structured interviews with 16 participants in their teens to 50s to collect their video usage experiences. The interview contents were categorized to create a codebook, and content analysis was performed. Based on this analysis, we derived the characteristics of video information. Finally, the characteristics of video information were identified through the literature review and interview analysis outcomes, and these characteristics were classified into properties of video and characteristics related to video information usage. Based on the identified characteristics of video information, this study proposed the basic capabilities required for video information literacy.