• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.143-174
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• 2023

With the development of deep learning technologies, Artificial Intelligence powered Optical Character Recognition (AI-OCR) has evolved to read multiple languages from various forms of images accurately. For the financial industry, where a large number of diverse documents are processed through manpower, the potential for using AI-OCR is great. In this study, we present a configuration and a design of an AI-OCR modality for use in the financial industry and discuss the platform construction with application cases. Since the use of financial domain data is prohibited under the Personal Information Protection Act, we developed a deep learning-based data generation approach and used it to train the AI-OCR models. The AI-OCR models are trained for image preprocessing, text recognition, and language processing and are configured as a microservice architected platform to process a broad variety of documents. We have demonstrated the AI-OCR platform by applying it to financial domain tasks of document sorting, document verification, and typing assistance The demonstrations confirm the increasing work efficiency and conveniences.

• Aerospace Engineering and Technology
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• v.4 no.1
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• pp.57-65
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• 2005

Due to the future of a large size satellite like Geo-stationary orbit satellite, KARI has progressed the construction of Large Thermal Vacuum Chamber(LTVC) with Φ8mXL10m, which simulates the orbit environment at space. The space environment can be characterized as very harsh conditions. Once the spacecraft is launched and enters its orbit, the satellite is exposed to this space environment. The continuous exposure to such space environment could cause malfunction of major parts of the spacecraft, which could lead to the failure of the entire mission. Due to the fact that space environment is completely different from that of the ground, the satellite that functioned normally on the ground could show some unexpected malfunction in space environment. For this reason, the performance of the spacecraft must be confirmed under the simulated conditions of the space environment. This document includes LTVC control logic, Interlock by which the LTVC can be controlled more safely and efficiently.

• The Korean Journal of Food And Nutrition
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• v.21 no.4
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• pp.545-552
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• 2008

This study is attempt to develop for Korean traditional food data integration system with food database. We are collected all kinds of traditional Korean foods, and referred to document and classified according to food types and cooking methods. Also we are classified 6 types of traditional Korean foods as follows: traditional common, royal, local, festival, rites, and Buddhist temple foods, And we integrate all of that databases for using a specialist or not. We researched for Korean traditional food by cooking type and planed organization for the standardized code and construction for database of Korean traditional foods. It was combined all of them, constructed for Korean traditional food data integration system. Korean traditional foods are classified with 10 provinces local foods, 18 festival foods by seasonal divisions reflecting traditional Korean holidays; and 9 classes rites foods. Korean traditional food using a traditional Korean food classification system was investigated a total of 7,289 kinds foods according to food types. those were 2,585 kinds traditional common foods, 142 kinds of royal foods, 2,137 kinds of local foods, 515 kinds of festival foods, 403 kinds of rites foods, and 1,507 kinds of Buddhist temple foods. And Korean traditional foods included 980 kinds of main dishes, 4,456 kinds of side dishes, 873 kinds of tteok lyou, 515 kinds of hangwa lyou and 465 kinds of emchong lyou. It is therefore recommended that knowledge of traditional Korean foods be preserving and develop their excellence and to further studies.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.3
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• pp.393-404
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• 2007

A concept of multi-layered database is proposed for the integrated operation of bridge information in this study. The multi-layered database is a logically integrated database composed of standardized information layers. The standardized information layers represent the data sets that can be unified, and they are defined by standardized information models. Classification system of bridge component was used as a basis of the multi-layered database, and code system based on the classification system was employed as a key integrator to manipulate the distributed data located on the different information layers. In addition, data level indicating priorities of information layers was defined to support strategic planning of the multi-layered database construction. As a proof of concept, a prototype of multi-layered database for object-oriented 3-D shape information and structural calculation document was built. Data consistency check of the semantically same data in the two different information layer was demonstrated, It is expected that the proposed concept can assure the integrity and consistency of information in the bridge information management.

• Journal of the Korean Society of Costume
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• v.66 no.6
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• pp.17-31
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• 2016

The purpose of this study is to perform historical reconstruction of the court dress coat in the Daehan Empire in order to make replicas of the artifacts. Following steps were undertaken in the study : literature research of the laws of the era, drawing of the design, embroidering gold work, and tailoring of the coat. Embroidering and tailoring experts were consulted to complete an accurate reconstruction of the dress court. The results of this study are as follows. First, Juimgwan's coat, which was the Court Costume Rule in 1905 was selected as an experimental coat. It was revision of the Court Costume Rule in 1900. The process of selection was based on the amount and easiness of embroidery. Second, the design of the back bodice, chevron, pockets and collar is reflected the pattern of the preceding research, which was analyzed from the laws, the drawing document[Gwanbokjandoan], and artifacts. Third, the gold work embroidery in the back bodice, chevron, pockets and collar was done. The embroidery material were composed of gold threads, such as rough purl, smooth purl, check purl, pearl purl, rococo, and spangle. Couching was used as an embroidery method. The coat was tailored after embroidering. The coat and the buttons were made after analyzing the artifacts. The result of this study can be utilized in the field of historical reconstruction of artifacts in the museum, the designing of stage costume in the performances of reenactment events, drama, and movie of Daehan Empire. Furthermore, this study is anticipated to contribute to the fundamental research of culture contents.

• Journal of the Korean Institute of Rural Architecture
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• v.20 no.4
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• pp.9-17
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• 2018

The purpose of the study is to suggest ways to improve the Landscape Review system and Landscape Management System of Jeju Special Self-governing Province through Analysis of the Landscape Review Results and Jeju Special Self-governing Ordinance. For this purpose, the research methods were reviewed for preliminary study and reviewing the laws and ordinances related to landscape, and 318 cases of landscape review, which have been implemented since 2010, were analyzed by item by item along with the result of the review. The main results of the analysis are as follows. First, Jeju Special Self-governing Province, which currently operates an enhanced ordinance of development project review, is experiencing problems such as building the wrong construction projects due to the weak legal basis for follow-up management after landscape Review. Second, Jeju Special Self-governing Province expects efficient management of the province through expansion of the scope of the landscape review. Third, the current status of the decisions by the Landscape review showed that 57.7% of the bills passed, the lowest at 41.9% for the development projects. Fourth, analysis of the landscape review contents by categorization by item showed that ' Landscape Control Guideline' and 'Document not completed' are relatively high. Thus, eight years have passed since the start of the Landscape Management System and the Landscape Review, but systematic institutional stability is not sufficient, so it is necessary to make the Landscape Control Guideline easier to understand.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1777-1782
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• 2004

I propose a prescription transmission system based on XML in this paper, and it is not to attach a former signature to only a XML document for encoding of XML/EDI, and it is construction, one with the prescription transmission system which is safer with what use a way to attach a digital signature to DTD. I defined sub element to manage information prescription DTD defined prescription information, patient information, medical care organ information, prescription details information, compounding of medicines details information element according to for each a component of a prescription I went along, and to have looked up, and to have obeyed information transmission at he low rank. I read a DTD file for safe prescription transmission, and I do element or property, the entity which I do it, and is extracted here, and Pasing is saved in a table while being a field. If Pasing is finished, I read and lift a hash table and carry out message a digest. I compose it with an early private key and create a digital signature.

• Journal of the Korean Society for information Management
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• v.22 no.3 s.57
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• pp.37-53
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• 2005

The terminology management is absolutely necessary for maintaining the efficiency of thesaurus. This is because the creating, differentiating, disappearing, and other processes of the descriptor become accomplished dynamically, making effective management of thesaurus a very difficult task. Therefore, a device is required for accomplishing methods to construct and maintain the thesaurus. This study proposes the methods to construct the thesaurus management using the basic elements of a topic map which are topic, occurrence, and association. Second, the study proposes the methods to represent the basic and specific instances using the systematic mapping algorithm and merging algorithm. Also, using a hub document as a standard, this study gives the methods to expand and subsitute the descriptors using the topic type. The new method applying fixed concept for double layer management on terms is developed, too. The purpose of this method is to fix the conceptual term which represents independent concept of time and space, and to select the descriptor freely by external information circumstance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.240-248
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• 2020

Over the past 20 years, brain science has developed rapidly thanks to new technologies such as functional magnetic resonance imaging (fMRI), leading to more accurate knowledge of human nature and behavioral changes. This knowledge is also actively applied in the field of management. This research aimed to gain insights into how neuroscience can be incorporated into management through the case of Midas IT Co. This construction software company has a separate organization with the purpose of studying brain science, and it makes and implements human resource management policies based on brain science. The founder Lee Hyung-woo has a humanist management philosophy, and the company's brain science research supports that philosophy. The case study method was adopted as the research method, and procedures such as interviews and direct observation, participation observation, and document information were carried out. The company's human resource management system can be explained by a brain science model called "SCARF", which combines various neuroscience discoveries. As this model suggests, the company has improved the trust and satisfaction of its members by reducing threat of status and by increasing certainty, autonomy, relationship, and fairness in the workplace, resulting in the creation of a platform for creativity, integrity, and high performance.