• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.93-99
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• 2006

Ontology is an indispensable component in intelligent and semantic processing of knowledge and information, such as in semantic web. Ontology is considered to be constructed generally on the basis of taxonomy of human concepts about the world. However. as human concepts are unstructured and obscure, ontology construction based on the taxonomy of human concepts cannot be realized systematically furthermore automatically. So, we try to do this from the relation among linguistic symbols regarded representing human concepts, in short, words. We show the similarity between taxonomy of human concepts and relation among words. And we propose a methodology to construct and generate automatically ontologies from these relations mon words and a series of algorithm to convert these relations into ontologies. This paper presents the process and concrete application of this methodology.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.147-158
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• 2019

The Korean food, which has been attracting attention only as a unique culture of Korea, has become popular in the world market by being used as a material of Korean Wave and me-media. The systematic organization of knowledge for recipes and related information can highlight the value of Korean food. It will serve as a basis for improving the reusability of Korean food contents through expanded and limited search and effective browsing. This study purports to design an ontology for establishing Korean food knowledge structure. Ontology modeling is based on OWL. Vocabularies of Korean food were examined based on 32 volumes of Korean food information, and data elements were extracted by analyzing five domains and applications. As a result, the study derived classes and properties, and proposed an indexing example.

• International Journal of Contents
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• v.12 no.2
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• pp.24-30
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• 2016

Ontology is known to be one of the most important technologies in achieving semantic web. It is critical as it represents the knowledge in a machine readable state. World Wide Web Consortium (W3C) has been contributing to the development of ontology for the last several years. However, the recommendation of W3C left out HTML despite the massive amount of information it contains. Also, it is difficult and time consuming to keep up with all the technologies especially in the case of constructing ontology. Thus, we propose a module and methods that reuse HTML documents, extract necessary information from HTML tags and mapping it to OWL 2. We will be combining two kinds of approaches which will be the structural refinement for making an ontology skeleton and linguistic approach for adding detailed information onto the skeleton.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.346-351
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• 2006

시맨틱 웹에 대한 관심이 높아짐과 더불어 관련 기술인 온톨로지와 이를 이용한 추론 기술 역시 이슈가 되고 있다. RacerPro, Pellet 등 지금까지의 전형적인 추론 시스템들은 주로 Tableaux Algorithm 기반의 추론 시스템으로 Tableaux Algorithm의 특성상 대용량 ABox 추론에서 문제점을 나타낸다. 이를 해결하기 위한 연구로는 Tableaux Algorithm 기반의 Instance Store와 Disjunctive Datalog Approach를 사용한 KAON2가 있다. 이러한 추론 기술에 대해서는 많은 연구가 진행되고 있지만 각 추론 시스템들에 대한 평가는 부족하다. 현재 추론 시스템들의 벤치마킹은 대부분 Tableaux Algorithm 기반의 TBox 추론에 대한 것으로 ABox 추론 및 최근 이슈인 대용량 ABox 추론에 대한 평가는 특히 부족하다. 이에 본 논문에서는 각 추론 시스템들의 이론적 배경을 근간으로 지금까지의 전형적 추론엔진들과 최근 이슈에 따른 대용량 ABox 추론을 위한 시스템들을 이론적 비교를 통해 살펴보며, 특히 대용량 ABox 추론를 위한 시스템인 Instance Store와 KAON2를 LUBM을 사용하여 평가함으로 대용량 ABox 추론에 있어 사용자의 요구에 따른 적절한 시스템을 제시한다.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.219.1-219.1
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• 2012

우주물체 전자광학 감시체계(OWL: Optical Wide-field Patrol)의 50cm급 자동망원경 마운트 시스템은 인공위성 관측을 위해 고속으로 움직이면서도 안정적인 추적이 가능해야 하며, 무엇보다 해외설치를 위한 경량화 및 무인 운영을 위한 신뢰성 있는 시스템이어야 한다. 우리가 개발한 경위대식 마운트는 웜기어가 아닌 마찰구동 방식으로 백래쉬가 없고 소음 및 진동을 최소화할 수 있다. 마운트의 자체 중량은 약 400kg이며 최대 가반하중은 250kg까지 가능하다. 지향정밀도와 밀접한 연관이 있는 절대 반복도는 warm start의 경우 5 acrsec, cold start의 경우 10 arcsec이며, 별관측을 통한 추적오차는 10분동안 2 arcsec이내의 값을 가지는 것으로 확인되었다. 마운트의 최대속도는 약 20deg/sec이며, 해외 환경에서의 작동을 위해 내부 온도제어를 통하여 이슬 및 결빙을 방지하도록 하였다.

• Journal of Astronomy and Space Sciences
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• v.32 no.4
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• pp.357-366
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• 2015

By using the Optical Wide-field Patrol (OWL) network developed by the Korea Astronomy and Space Science Institute (KASI) we generated the right ascension and declination angle data from optical observation of Low Earth Orbit (LEO) satellites. We performed an analysis to verify the optimum number of observations needed per arc for successful estimation of orbit. The currently functioning OWL observatories are located in Daejeon (South Korea), Songino (Mongolia), and Oukaïmeden (Morocco). The Daejeon Observatory is functioning as a test bed. In this study, the observed targets were Gravity Probe B, COSMOS 1455, COSMOS 1726, COSMOS 2428, SEASAT 1, ATV-5, and CryoSat-2 (all in LEO). These satellites were observed from the test bed and the Songino Observatory of the OWL network during 21 nights in 2014 and 2015. After we estimated the orbit from systematically selected sets of observation points (20, 50, 100, and 150) for each pass, we compared the difference between the orbit estimates for each case, and the Two Line Element set (TLE) from the Joint Space Operation Center (JSpOC). Then, we determined the average of the difference and selected the optimal observation points by comparing the average values.

• Journal of Intelligence and Information Systems
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• v.12 no.2
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• pp.67-81
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• 2006

While the existing Web focuses on the interface with human users based on HTML, the next generation Web will focus on the interaction among software agents by using XML and XML-based standards and technologies. The inference engine, which will serve as brains of software agents in the next generation Web, should thoroughly understand the Semantic Web, the standard language of the next generation Web. As abasis for the service, the W3C (World Wide Web Consortium) has recommended SWRL (Semantic Web Rule Language) which had been made by compounding OWL (Web Ontology Language) and RuleML (Rule Markup Language). In this research, we develop a backward chaining inference engine SMART-B (SeMantic web Agent Reasoning Tools -Backward chaining inference engine), which uses SWRL and OWL to represent rules and facts respectively. We analyze the requirements for the SWRL-based backward chaining inference and design analgorithm for the backward chaining inference which reflects the traditional backward chaining inference algorithm and the requirements of the next generation Semantic Web. We also implement the backward chaining inference engine and the administrative tools for fact and rule bases into Java components to insure the independence and portability among different platforms under the environment of Ubiquitous Computing.

• Journal of Veterinary Clinics
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• v.30 no.3
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• pp.218-221
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• 2013

A flightless brown hawk owl (Ninox scutulata) weighing 180 g was rescued and referred to the teaching veterinary hospital with humerus open fracture. On physical examination and radiography, open fracture of the left humerus was found. After 3 days, orthopedic surgery was operated with intramedullary pins and wires. The bird died 2 days after surgery with anorexia. On necropsy, multiple green nodules with 2-3 mm in diameter were observed at the surface and inside of the left lung. Numerous conidial heads and spores were seen in the center of foci in the histopathological examination. The mycelia penetrated the surrounding pulmonary parenchyma, showing inflammation and necrosis. The fungus was isolated from the lung and cultured on Sabouraud Dextrose Agar at $30^{\circ}C$ for 7 days. The colony was blue-green color with a powdery surface. The fungus was identified as Aspergillus fumigatus by DNA analysis, including the internal transcribed spacer region, partial ${\beta}$-tubulin, and the calmodulin gene. This case was diagnosed as pulmonary aspergillosis secondary to open fracture of pneumatic bone in a brown hawk owl.

• Korean Journal of Computational Design and Engineering
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• v.14 no.1
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• pp.1-9
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• 2009

ISO 15926 is an international standard for the representation of process plant lifecycle data. However, it is not easy to implement the part 2-data model and the part 4-initial reference data because of their complexity in terms of data structure and shortages of related development toolkits. To overcome this problem, ISO 15926-7(part 7) is under development. ISO 15926-7 specifies implementation methods for sharing and exchange of process plant lifecycle data, which is based on semantic web technologies such as OWL, Web Services, and SPARQL. For the application of ISO 15926-7, this paper discusses how to represent technical specifications of process plant equipment by defining user-defined reference data and object information model with an example of reactor coolant pumps located in the reactor coolant system of an APR 1400 nuclear power plant.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.133-135
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• 2006

최근 들어 자동화된 시맨틱 웹 서비스 조합을 위해 인공지능 계획 기법을 이용하려는 연구가 활발하다. 하지만 이러한 계획 기법이 효과적으로 적용되기 위해서는 먼저 시맨틱 웹 서비스의 명세와 온톨로지들을 계획기에서 이용 가능한 계획 영역 지식 형태로 변환하여야 한다. 본 논문에서는 OWL-S로 기술된 웹 서비스 명세와 OWL로 정의된 온톨로지를 표준 계획영역지식 표현언어인 PDDL로 변환하는 변환기의 설계와 구현에 대해 설명한다. 이 변환기의 특징은 기존의 OWLS2PDDL와는 달리 KIF 기반의 전제조건과 효과에 대한 변환 기능을 추가로 제공하며, 웹 서비스의 입출력 데이터에 대한 명세변환도 보다 실용적으로 간소화하였다. 또한, 이 변환기는 계획을 위한 영역모델과 이 영역모델에 기초한 다양한 문제모델들을 별도로 분리하여 생성하며, 이 두 모델 모두에 온톨로지가 적용될 수 있도록 허용한다.