• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.10
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• pp.4952-4975
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• 2018

An induced hesitant linguistic aggregation operator is investigated in the paper, in which, hesitant fuzzy linguistic evaluation values are associated with probabilistic information. To deal with these hesitant fuzzy linguistic information, an induced hesitant fuzzy linguistic probabilistic ordered weighted averaging (IHFLPOWA) operator is proposed, monotonicity, boundary and idempotency of IHFLPOWA are proved. Then andness, orness and the entropy of dispersion of IHFLPOWA are analyzed, which are used to characterize the weighting vector of the operator, these properties show that IHFLPOWA is extensions of the induced linguistic ordered weighted averaging operator and linguistic probabilistic aggregation operator. In this paper, IHFLPOWA is utilized to gather linguistic information and create fuzzy ontologies, and a movie fuzzy ontology as an illustrative case study is used to show the elaboration of the proposed method and comparison with the existing linguistic aggregation operators, it seems that the IHFLPOWA operator is an useful and alternative operator for dealing with hesitant fuzzy linguistic information with probabilistic information.

• Korean Journal of Computational Design and Engineering
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• v.15 no.2
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• pp.144-156
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• 2010

When existing parts are re-used for the development of a new product or business-to-business transactions, a method for searching parts from a part database that meets user's requirements is necessary. To this end, it is important to develop a part search method which is able to measure similarity between parts and user's input data with generality as well as robustness. In this paper, the authors suggest a method for measuring part similarity using ontology and multi-criteria decision making method and address its technical details. The proposed method ensures the interoperability with existing engineering information management systems, represents part specifications systematically, and has generality in the procedure for comparing part specifications. The case study for ejector pins having been conducted to demonstrate the proposed method is also discussed.

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1843-1854
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• 2010

The utilization of underground space has recently increased with the complication of road, the rise of the land price, and the development of green technology. Underground space ranges from classical excavations to subway, underground cities, and shopping malls where there are crowds of people. At this time, government has spent a lot of money in installing various types of safety facilities for preparations of increasing potential disasters. Therefore, an effective facility management system is required. In this paper, we propose an information retrieval process to effectively extract the facilities' information based on the ontology and spatial analysis in underground space. The ontology-based searching supports hierarchical and associated results as well as knowledge sharing with hierarchy concepts. The spatial analysis based searching has "Buffer" and "Near" functions to operate on a map without understanding any property of the facility information.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.5
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• pp.467-471
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• 2008

With active research on Web ontology, various storages and query languages have been developed to store Web Ontology. As SPARQL usage increases and most of storages are based on relational data base, the necessity of SPARQL-to-SQL translation algorithm development becomes issued. Even though several translation algorithms have been proposed, there still remain the following problems. They do not support fully SPARQL clauses and they are dependent on a specific storage model. This paper proposes a new model to use a specific translation algorithm independently on storages.

• Journal of Society of Preventive Korean Medicine
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• v.13 no.2
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• pp.115-128
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• 2009

Background : Currently, ontology research has led the trend of technical development in medical informatics area. For Korean medicine, the reference terminology should be developed to facilitate the ontology research. Objective : This research aimed to design the management system for traditional Korean medical terms. Method :We built the internet-based system in which multi-users work simultaneously by using the relational database system(SQL Server2005) and visual studio 2005. Result : By this system, researchers can collect, refine, and inspect Korean medicine terms efficiently, and the terms can be transcribed into synonym, Korean, Chinese, and simplified Chinese. It enables the terms be input into the system accurately and managed by its classification. Conclusion : We developed the concept groups and its hierarchy system for Korean medicine terms which provides the basis for ontology system.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.239-248
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• 2006

Current context-aware applications In ubiquitous computing environments make the assumption that the context they are dealing with is correct. However, in reality, both sensed and interpreted context informations are often uncertain or imperfect. In this paper, we propose a probability extension model to ontology-based model for rep resenting uncertain contexts and use Bayesian networks to resolve about uncertainty of context informations. The proposed model can support the development and operation of various context-aware services, which are required in the ubiquitous computing environment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.171-174
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• 2019

군 내 복무부적응 용사들로 인한 병영사고는 대군 신뢰도 저하, 비전투력 손실로 인한 전투력 약화 등의 문제와 더불어 병영기피와 군에 대한 거부감까지 초래하고 있다. 군은 복무부적응 용사들을 사전에 식별하고 사고를 예방하기 위한 심리검사체계로 신인성검사를 자체 개발하여 적용하고 있지만, 이는 피검자의 의도적인 결과 왜곡이나 검사 결과에 대한 맹신 등의 문제점이 있다. 본 논문에서는 복무부적응 용사들의 행동 양식 및 증상들을 온톨로지로 설계하여 사고 우려자 식별을 위한 보조 도구로 활용할 수 있도록 온톨로지 구현 프로세스를 제안한다. 복무부적응 용사 식별을 위한 온톨로지 구현을 통해 사고 우려자를 식별하는데 객관적인 기준 제공 및 정보 공유로 사고 예방에 효과적인 역할을 할 것으로 기대된다.

• ETRI Journal
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• v.41 no.4
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• pp.515-527
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• 2019

This paper discusses the design, implementation, and potential use of an ontology-based mobile pediatric consultation and monitoring system, which is a smart healthcare expert system for pediatric patients. The proposed system provides remote consultation and monitoring of pediatric patients during their illness at places distant from medical service areas. The system not only shares instant medical data with a pediatrician but also examines the data as a smart medical assistant to detect any emergency situation. In addition, it uses an inference engine to infer instant suggestions for performing certain initial medical treatment steps when necessary. The applied methodologies and main technical contributions have three aspects: (a) pediatric consultation and monitoring ontology, (b) semantic Web rule knowledge base, and (c) inference engine. Two case studies with real pediatric patients are provided and discussed. The reported results of the applied case studies are promising, and they demonstrate the applicability, effectiveness, and efficiency of the proposed approach.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.438-440
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• 2021

With the development of machine learning, artificial intelligence techniques are being applied in various fields. Among these fields, there is an OCR technique that converts characters in images into text. The tesseract developed by HP is one of those techniques. However, the recognition rate for recognizing characters in images is still low. To this end, we try to improve the conversion rate of the text of the image through the post-processing process that recognizes the context using the ontology.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.21-24
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• 2007

본 논문에서는, 가상 전장 시나리오에서의 방어 전략 시스템에서 지능형 서비스를 구축하기 위한 핵심으로 군 도메인 온톨로지를 구축하고자 한다. 군대에서는 과거와 비교할 수 없는 다양하고 복잡한 데이터가 존재하는 상황에서 그 데이터를 지능적, 효율적으로 처리하기 위한 요구가 대두되고 있다. 이를 해결할 수 있는 방안의 하나로써 정보의 지식화가 있으며, 온톨로지는 도메인에서 개념과 관계를 표현할 수 있는 지식 표현 방법이다. 군 도메인 온톨로지는 추후 도메인 간의 호환성을 위한 상위 온톨로지인 SUMO (Suggested Upper Merged Ontology)를 사용하였고, 상위 온톨로지와 도메인 온톨로지를 연결해주는 중간 레벨 온톨로지인 MILO (Mid-Level Ontology)를 사용하며, 온톨로지 표현 언어로 SUO-KIF를 사용하여 개발되었다. 추후 군 도메인 온톨로지는 멀티에이전트 기반 방어 전략 시스템이 돌아가는 Cougaar Framework에서 사용될 수 있도록 고려되었다.