• Annual Conference on Human and Language Technology
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• 2005.10a
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• pp.21-27
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• 2005

본 논문에서는 국가에서 추진하는 차세대신성장동력산업과 관련된 특정 분야('바이오 신약/장기' 분야 중 '면역 기능 제어')를 선택하여, 기구축된 면역학 전문용어사전을 비롯하여 의학용어사전, 표준국어대사전 등을 참조하여 핵심 용어와 관련 용어를 중심으로 면역학 시소러스(어휘 3,462개) 및 온톨로지(개념 노드 4,703개)를 구축하였다. 이것은 전문용어사전부터 온톨로지에 이르기까지 통일화된 표준 체계를 가지고 있으며, 도메인 온톨로지를 구축하여 향후 온톨로지 개발 방향을 설정할 수 있는 계기가 되었다고 할 수 있다. 또한 면역학 시소러스는 검색의 성능을 향상시킬 수 있도록 충분한 양의 데이터를 구축하였고 면역학 온톨로지는 언어처리적 관점에서의 온톨로지를 표현하였다. 이는 정보검색에서의 효율성을 비롯하여, 특정 웹 온톨로지 언어를 이용한 웹 온톨로지로의 변환성, 대규모 도메인 온톨로지라는 점에서 의미를 가진다고 할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.191-203
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• 2009

To provide dynamic services for users in ubiquitous computing environments by considering context in real-time, in our previous work we proposed Metaservice concept, the description specification and the process for building a Metaservice library. However, our previous process generates separated models - UML, OWL, OWL-S based models - from each step, so it did not provide the established method for translation between models. Moreover, it premises aid of experts in various ontology languages, ontology editing tools and the proposed Metaservice specification. In this paper, we design the translation process from domain ontology in OWL to Metaservice Library in OWL-S and develop a visual tool in order to enable non-experts to generate consistent models and to construct a Metaservice library. The purpose of the Metaservice Library translation process is to maintain consistency in all models and to automatically generate OWL-S code for Metaservice library by integrating existing OWL model and Metaservice model.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.248-251
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• 2010

레거시시스템 관계형 데이터의 효율적인 재사용을 위해 많은 연구가 있었다. 온톨로지 기반 분류기법의 적용으로 문제점이었던 의미적 해석 및 처리를 해결하고, 사람의 이해가 아닌 컴퓨터가 이해할 수 있도록 하는 연구가 필요하다. 본 논문에서는 온톨로지 기반 효율적 재사용을 위해 관계형 데이터의 유형 분류기법을 적용한 SDTC 기법의 제안하였고 결과물로 생성된 정보를 저장하는 SDR 데이터 저장소가 생성된다. 도한 SDR 데이터의 통합으로 향상된 재사용을 할 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.343-345
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• 2020

사물인터넷 시대에 스마트 홈들의 출현으로 엣지 지역에서의 정확한 화재 감지 및 대응 기술에 대한 필요성이 요구되고 있다. 그러나, 화재 감지 동작에서 오작동으로 인한 잘못된 정보를 제공하거나, 감지 기기로부터의 불충분한 정보 제공은 화재 감지/예방을 효과적으로 수행하기 어렵게 한다. 본 논문에서는 사물인터넷 엣지 지역에서 기존의 다양한 센서들을 통해 데이터를 수집하여 온톨로지에서 추론과정을 진행하는 엣지형 온톨로지 시스템을 구현한다. 본 논문에서는 추론된 정보를 바탕으로 사물인터넷 엣지에서 발생되는 화재 사건에 대한 정확한 판단할 수 있게 한다. 제안된 화재 추론 온톨로지를 이용해 기존의 화재감지기가 제공하는 정보 뿐 만 아니라 화재 정보에 대한 확장된 정보를 사용자에게 제공하므로 사용자 유용성을 개선될 수 있음을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.891-894
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• 2021

온톨로지(Ontology)는 사람과 컴퓨터, 또는 컴퓨터 간의 개념 및 개념 표현을 공유하기 위한 개념화의 명시적 규약을 의미한다. 기존의 온톨로지 생성은 전문가에 의한 수작업에 의존되어 비용과 시간이 많이 드는 한계가 있다. 이에 본 논문에서는 딥러닝(Deep learning)기반의 기계번역 개념을 적용한 사례를 활용하여, 수작업의 의존성이 감소한 방법으로 텍스트로부터 온톨로지를 생성하는 방법을 구현하였다. 특히 기존 연구에서 제안한, 딥러닝을 이용해 텍스트로부터 지식 표현 시퀀스를 추출한 정보를 활용하여, 지식 표현 구조를 온톨로지로 변환하고 지식 베이스로 확장하는 과정을 통해 자동화 된 Text-to-Ontology 변환 방법론을 제안하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.6
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• pp.19-29
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• 2007

This paper introduces a robot knowledge framework which is represented with multiple classes, levels and layers to implement robot intelligence at real environment for mobile robot. Our root knowledge framework consists of four classes of knowledge (KClass), axioms, rules, a hierarchy of three knowledge levels (KLevel) and three ontology layers (OLayer). Four KClasses including perception, model, activity and context class. One type of rules are used in a way of unidirectional reasoning. And, the other types of rules are used in a way of bi-directional reasoning. The robot knowledge framework enable a robot to integrate robot knowledge from levels of its own sensor data and primitive behaviors to levels of symbolic data and contextual information regardless of class of knowledge. With the integrated knowledge, a robot can have any queries not only through unidirectional reasoning between two adjacent layers but also through bidirectional reasoning among several layers even with uncertain and partial information. To verify our robot knowledge framework, several experiments are successfully performed for object recognition and navigation.

• Journal of the Society of Naval Architects of Korea
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• v.48 no.3
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• pp.207-214
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• 2011

Ship design requirements described in the building specification should be reflected in the design process. This paper identifies the configuration of requirements mentioned in the building specification using Ontology Representation Language (OWL). Ontology-based semantic search system specifies the requirement items. Through this extraction, building specifications mentioned for each entry are configured to the tree. Tracking requirements for ship design and a set of procedures to instruct is also used for the V model of systems engineering. The semantic search engine of robot agent and ontology can search the requirements specification document and extract the design information. Thereafter, design requirements for the tracking model that proposes the relationship between the associated BOM(bill of material) and product structure.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.2
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• pp.60-67
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• 2009

Analyzing protein-protein interactions(PPI) is an important task in bioinformatics as it can help in new drugs' discovery process. However, due to vast amount of PPI data and their complexity, efficient visualization of the data is still remained as a challenging problem. We have developed efficient and effective visualization system that integrates Gene Ontology(GO) and PPI network to provide better insights to scientists. To provide efficient data visualization, we have employed dynamic interactive graph drawing methods and context-based browsing strategy. In addition, quick and flexible cross-reference system between GO and PPI; LCA(Least Common Ancestor) finding for GO; and etc are supported as special features. In terms of interface, our visualization system provides two separate graphical windows side-by-side for GO graphs and PPI network, and also provides cross-reference functions between them.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.63-70
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• 2019

We extract the symptom of panic disorder from the context awareness environment. It extracts body context information through natural movement that exists in everyday life and uses a component of panic disorder. The ontology theory can be used to provide information on the degree of symptoms of panic disorder through inference process. For the components of panic disorder to the information processing based on ontology are defined as Classes. Panic disorder index is expressed through ontology modeling so that the condition of panic disorder can be known. The derivation of panic disorder component and panic disorder index will enable context awareness based information service for panic disorder. The context information is periodically synchronized with the context awareness on based device. Panic disorder can be used to improve the lifestyle of panic disorder.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.4
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• pp.170-180
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• 2010

With development of the earth's subsurface space, the need for a reliable subsurface spatial model such as a cross-section, boring log is increasing. However, the ground mass was essentially uncertain. To generate model was uncertain because of the shortage of data and the absence of geotechnical interpretation standard(non-statistical uncertainty) as well as field environment variables(statistical uncertainty). Therefore, the current interpretation of the data and the generation of the model were accomplished by a highly trained experts. In this study, a geotechnical ontology model was developed using the current expert experience and knowledge, and the information content was calculated in the ontology hierarchy. After the relative distance between the information contents in the ontology model was combined with the distance between cluster centers, a cluster analysis that considered the geotechnical semantics was performed. In a comparative test of the proposed method, k-means method, and expert's interpretation, the proposed method is most similar to expert's interpretation, and can be 3D-GIS visualization through easily handling massive data. We expect that the proposed method is able to generate the more reasonable subsurface spatial information model without geotechnical experts' help.