• Journal of Advanced Navigation Technology
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• v.18 no.5
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• pp.524-531
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• 2014

In this paper, we have proposed the processing and analyzing the linked open data (LOD), a kind of big-data, using resources of cloud computing. The LOD is web-based open data in order to share and recycle of public data. Specially, we defined the InfograaS (Info-graphic as a service), new business area of SaaS (software as a service), to support visualization technique for BA (business analytics) and Info-graphic. The goal of this study is easily to use it by the non-specialist and beginner without experts of visualization and business analysis. Data visualization is the process to represent visually and understand the data analysis easily. The purpose of data visualization is to deliver information clearly and effectively by chart and figure. The big data of public data are shared and presented in the charts and the graphics understood easily by various processing results using Hadoop, R, machine learning, and data mining of open source and resources of cloud computing.

• Archives of design research
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• v.16 no.2
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• pp.189-196
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• 2003

The purpose of this study is to examine and understand decoding process of the Advertising - text to users a various aspects of semiotic approaches. Further more, through this study, show the sign- structures of the ad-text. For this purpose this study has chosen about the AD of publication of constant period that explore the variable characteristics, access the audience's meaning - structures. Through this analysis , grasp the point of internal and external linked structures. The results of this study can be summarized as follows; ㆍ The AD were applied using the transformational signifier of sign-system rather than the reflection of life's quality and products itself. Moreover to show itself meaning, the ad should do selection of transformation of thought than information-oriented. ㆍ The AD-text can be produced its productive efforts as well as decoding process of audience through various linked channel. Association, structured linking, audience's decoding, thematic structures are very important points in order to read the AD.

• Journal of the Korean Society for information Management
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• v.35 no.1
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• pp.157-182
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• 2018

As data management and processing techniques have been developed rapidly in the era of big data, nowadays a lot of business companies and researchers have been interested in long tail data which were ignored in the past. This study proposes methods for generating and controlling a network of technical terms based on text mining technique to enhance data utilization in the distribution of long tail theory. Especially, an edit distance technique of text mining has given us efficient methods to automatically create an interlinking network of technical terms in the scholarly field. We have also used linked open data system to gather experimental data to improve data utilization and proposed effective methods to use data of LOD systems and algorithm to recognize patterns of terms. Finally, the performance evaluation test of the network of technical terms has shown that the proposed methods were useful to enhance the rate of data utilization.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.2
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• pp.55-82
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• 2015

The Presidential Archives preserve and manage the president's records and archives, which accounts for the social and governmental operations during the president's term of office. However, search systems and online contents provided by the Presidential Archives are difficult to use. This study proposed an LOD-based archival information service for the comfort of users. The proposed service has a better extension of archival information service contents from President Roh's term. The provision of details is divided into three steps: first step sets up the establishment methods, second step creates ontological design, and third step converts it to RDF and connects to other institutions. Through the process, this study suggests an extension of archival information service in the Presidential Archives.

• Biomedical Science Letters
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• v.8 no.4
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• pp.235-244
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• 2002

This study was carried out to determine the blood and milk progesterone by enzyme-linked immunosorbent assay (ELISA), and milk urea nitrogen (MUN) in cows. MUN and protein concentration were determined using automated infared procedures. The optimum conditions of ELISA system was investigated including the first and second antibody titres, bound percent, and enzyme conjugate and also the factors on MUN and protein concentration by sampling procedures and addition of preservatives. Progesterone antibodies did not react to pregnenlone, testosterone, estrone, estradiol-l7$\beta$, aldosterone, cortisol, corticosterone and 11$\alpha$-dehydroxycortisone (DOC), but reacted with only progesterone. The intra and inter-assay coefficient of variation 4.5%, 6.1~9.4% when used of bovine serum. The morning, MUN concentration (17.6$\pm$2.8 mg/100 ml) in the 13 herds was similar to that of evening MUN concentration of the lactating cows from the same herd. A significant relationship between morning and evening milk samples of upper parameters was found r=0.93. Difference in MUN concentration with sampling procedures and using of preservatives were investigated.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.14 no.1
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• pp.66-70
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• 2014

X-linked adrenoleukodystrophy (ALD) is a uncommon metabolic disorder which derived by peroxismal ${\beta}$-oxidation and elevation of serum very long chain fatty acid (VLCFA). VLCFA is mainly accumulated in the myelin of the central nervous system and adrenal cortex, by which the expressed symptoms of this disease are mainly neurologic and endocrinologic (such as adrenal insufficiency). The mutations in the ABCD1 gene causes X-linked ALD, nevertheless its phenotypes and genotypes are poorly coordinated. We report the case of a 12-year-old boy with X-linked ALD who developed vomiting, fatigue and poor oral intake. Severe dehydration and hyponatremia were found in initial physical examination and laboratory test, but his motor/sensory nerve function and mental status were completely normal. We diagnosed ALD with diffuse high-intensity signal in both parietotemporal cerebellar white matter in brain MRI and elevated serum VLCFA. Later, we confirmed a novel c.1635-1G>A (IVS6-1G>A) mutations of the ABCD1 gene. With the discrepancy between its phenotypes and genotypes, various phenotypes could be seen in X-ALD patient. Careful examination and further studies for these patients will be needed.

• Analytical Science and Technology
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• v.13 no.5
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• pp.624-629
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• 2000

A simple and rapid homogeneous enzyme-linked binding assay for mistletoe lectin I(ML I) was developed using a coupled enzyme system of malate dehydrogenase (MDH) and D-galactose. A highly substituted MDH-galactose conjugate was prepared by employing an isothiocyanate method for formation of thiourea bond. In the presence of ML I, ML I inhibits the activity of the conjugate based on the ML I/D-galactose specific interaction. Thus, the concentration of ML I can be related to the homogeneous inhibition of the MDH-galactose conjugate. Using this method. ML I can be measured at the level of microgram per milliliter within 10 minutes.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.1
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• pp.379-392
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• 2020

The purpose of this study is to present technical elements to improve the data utilization of the ISNI Korea Consortium, which is operated by the National Library of Korea, which is responsible for the registration of Korean names. The ISNI Korea Consortium aims to register various creation-related information in addition to bibliographic-related individual and organization name information. To this end, this study examines the ISNI Korea consortium, which is a data provider's consultative body, among other things, the metadata status of copyright organizations and the linked data specification of ISNI. As a result, data acquisition, refining, storage, identifier management, consortium metadata management, five in total, and RDF data management (repository) in terms of linked data, RDF data issuance, RDF data retrieval, RDF data inquiry, RDF data Eight technical elements, including download, ontology inquiry, standard term inquiry and mapping information management, were derived.

• Journal of Korean Medical Science
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• v.33 no.53
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• pp.343.1-343.8
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• 2018

Background: Linkage of public healthcare data is useful in stroke research because patients may visit different sectors of the health system before, during, and after stroke. Therefore, we aimed to establish high-quality big data on stroke in Korea by linking acute stroke registry and national health claim databases. Methods: Acute stroke patients (n = 65,311) with claim data suitable for linkage were included in the Clinical Research Center for Stroke (CRCS) registry during 2006-2014. We linked the CRCS registry with national health claim databases in the Health Insurance Review and Assessment Service (HIRA). Linkage was performed using 6 common variables: birth date, gender, provider identification, receiving year and number, and statement serial number in the benefit claim statement. For matched records, linkage accuracy was evaluated using differences between hospital visiting date in the CRCS registry and the commencement date for health insurance care in HIRA. Results: Of 65,311 CRCS cases, 64,634 were matched to HIRA cases (match rate, 99.0%). The proportion of true matches was 94.4% (n = 61,017) in the matched data. Among true matches (mean age 66.4 years; men 58.4%), the median National Institutes of Health Stroke Scale score was 3 (interquartile range 1-7). When comparing baseline characteristics between true matches and false matches, no substantial difference was observed for any variable. Conclusion: We could establish big data on stroke by linking CRCS registry and HIRA records, using claims data without personal identifiers. We plan to conduct national stroke research and improve stroke care using the linked big database.

• Journal of Information Science Theory and Practice
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• v.9 no.2
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• pp.66-82
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• 2021

Recommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based on their interests and preferences. The more recent technology, Linked Open Data (LOD), has been introduced, and a vast amount of Resource Description Framework data have been published in freely accessible datasets. These datasets are connected to form the so-called LOD cloud. The need for semantic data representation has been identified as one of the next challenges in Recommender Systems. In a LOD-enabled recommendation framework where domain awareness plays a key role, the semantic information provided in the LOD can be exploited. However, dealing with a big chunk of the data from the LOD cloud and its integration with any domain datasets remains a challenge due to various issues, such as resource constraints and broken links. This paper presents the challenges of interconnecting and extracting the DBpedia data with the MovieLens 1 Million dataset. This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis. Based on the challenges, we proposed a few alternatives and solutions to some of the challenges.