• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.625-627
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• 2004

시멘틱 웹의 등장으로 온톨로지를 통하여 에이전트가 이해할 수 있는 의미(semantic)를 갖는 문서를 생성하는 것이 가능해졌다. 이러한 시멘틱 웹의 영역은 비즈니스 업무 효율을 증가시키고 이를 통해 이윤을 극대화시키는 방법으로 시멘틱 검색을 통한 정보검색시스템으로 확대적용 될 수 있다. 데이터베이스를 활용하여 문서를 저장하고 데이터베이스의 질의문물 사용하거나 일반적인 키워드기반의 정보검색 기법을 사용하여 자료를 검색하는 기존의 시스템은 다양한 분야에서 많이 연구되어 왔다. 본 논문에서는 온톨로지를 기반으로 추론을 적용한 시멘틱 검색시스템에 대하여 문서검색에 초점을 맞추어 연구 결과를 제안한다. 본 논문에서 제안하는 방식은 기존의 데이터베이스 질의문으로 검색이 불가능하거나 정보관리 시스템에서 단순히 키워드 매칭으로 검색되지 않는 문서에 대해서 본 시스템이 온톨로지라 추론을 통하여 문서의 검색에 가능함을 보인다. 이러한 방식은 자연어처리 검색과 유사한 검색영역을 갖는다. 이는 문서의 검색에 있어 단순히 키워드의 유사도에 의존하지 않고 Description Logic을 바탕으로 구성된 온톨로지에 미리 정의 되어있는 의미를 바탕으로 생성된 메타데이타를 가지고 추론을 하기 때문에 가능하다 또한 기존의 정보관리 시스템에서 채용한 데이터베이스를 통한 질의응답 시스템을 적용하여 온톨로지 표현언어에 대해 질의 응답이 가능한 DQL 인터페이스와 연동을 통하여 본 시스템의 속도와 효율성을 극대화시킨다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.43-46
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• 2009

의료 분야의 정보화 움직임으로 인해 단순한 정보 저장과 검색 시스템에서 벗어나 지능화된 서비스를 제공 해주는 시멘틱 웹 기반의 의료 시스템이 요구되고 있다. 이에 한의학 분야도 한의사의 진단을 보조할 수 있는 지식 기반 시스템에 대한 요구가 증대되고 있으며 관련 시스템들이 개발되어지고 있다. 온톨로지는 시멘틱 웹의 핵심적인 지식 체계로 지식의 처리와 추론이 가능하므로 질의 및 논리 추론을 통하여 진단을 내리는 한의학 지식 데이터베이스 구축에 적합하다. 본 연구에서는 한의학 분야의 지식을 보다 의미적이고 체계적으로 표현하고 온톨로지를 이용한 검색 결과의 이점을 보여주기 위해 추론 기술을 접목시켜 한의학 온톨로지를 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.566-568
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• 2009

사용자의 의도에 맞는 정보를 검색하기 위해서는 인터넷 환경에서 웹 문서 자원 사이의 의미 정보를 온톨로지로 표현하고, 이 온톨로지를 컴퓨터가 이해할 수 있게 하는 시맨틱 웹의 도입이 필요하다. 본 논문에서는 OWL 온톨로지 기반의 추론을 통한 논문 정보 검색시스템에 대하여 논한다. 시맨틱 웹의 새로운 온톨로지 언어로 부상한 OWL 기반의 논문 온톨로지를 구축하고, 논문 속성들 간의 다양한 상관관계를 서술논리 쿼리로 작성한다. 검색시스템은 이 쿼리를 기반으로 논문 온톨로지에 대하여 추론함으로써 지능적인 정보 검색이 가능하도록 하였다.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.2
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• pp.74-93
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• 2010

Nowadays, the navigation system is very popular to general public and the study of landmarks has an important role to develop the cognitive systems for regional navigation. The city image is composed of landmarks that are well-known to regional community and they are the reference frame for place recognition in urban navigation. In general, the case of navigation can be categorized as two kinds. The first is to explore the new region and the second is to navigate the familiar region. In case of latter, the city image has a critical role in place recognition for regional community. Place recognition of a community might be a knowledge-based inference on the basis of city image which is composed of the systematically connected places. In this study, the mental structure of urban image is regarded as a hierarchical knowledge and represents it as domain ontology for the regional navigation of a community. The city image of a community is assumed as the collection of landmarks, which are categorized as anchor, distant and local according to spatial familiarity of community. Representing city image as a regional knowledge using ontology modeling method is an essential step to make the geographical assumption of a regional community explicit and reusable for the regional agents who will provide the regional guide in LBS age.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.3
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• pp.409-414
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• 2013

With the increase of multimedia information such as images, researches have been realized on how to extract the high-level semantic information from low-level visual information, and a variety of techniques have been proposed to generate this information automatically. However, most of these technologies extract the semantic information between single images, it's difficult to extract semantic information when a combination of multiple objects within the image. In this paper, we extract the visual features of objects within the image and training images stored in the DB and the features of each object are defined by measuring the similarity. Using ontology reasoner, each object feature within images infers the semantic information by positional relation and associative relation. With this, it's possible to infer semantic information between objects within images, we proposed a method for inferring more complicated and a variety of high-level semantic information.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1317-1324
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• 2016

Utilizing the Arduino platform to express the emotions that reflect the colors expressed the jewelry. Emotional color expression utilizes Plutchik's Wheel of Emotions model was applied to the similarity of emotions and colors. It receives the recognized value from the temperature, lighting, sound, pulse sensor and gyro sensor of a smart jewelery that can be easily accessible from your smartphone processes that recognize and process the emotion applied the rules of inference based on ontology. The emotional feelings color depending on the color looking for the emotion seen in context and applied to the smart LED jewelry. The emotion and the color combination of contextual information extracted from the recognition sensors are reflected in the built-in smart LED Jewelry depending on the emotions of the wearer. Take a light plus the emotion in a smart jewelery can represent the emotions of the situation, the doctor will be able to be a tool of representation.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.90-94
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• 2006

The research about social network for analyzing human relationship has been steadily worked due to the importance in the social science field. It is also important that analyzing the relationship between researchers in the academic and research fields. Especially, the network by joint research or citation between researchers is useful to evaluating projects or making policy on academic and research fields. This paper describes a method that generates two kinds of researcher networks showing co-authorship and citation relationship between researchers based on national R&D reference information ontology. We infer pair of researchers in co-authorship or citation relationship by SPARQL query from the ontology which is composed of research outcomes and their participating researchers in RDF triples. By postprocessing, we construct researcher network which links researchers in co-authorship and citation relationship.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.147-153
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• 2014

To create a personal menu, there are a number of considerations. Personal menus are different depending on the dietary therapy for disease, diet for weight control. In addition, the menu you choose, depending on the personal preference and the season, the weather, current personal feelings may differ. An individual should expect to recommend a balanced diet, taking nutritional status just for health care. In this paper, we propose a personalized menu recommendations System framework to meet such needs. To recommend menus the system receives data of the body's individual circumstances, ingredients situation, environmental conditions, psychological condition, emotional condition and provides a recommended menu by performing the inference using the ontology generated from external application systems. In order to provide such services, Internet of Things (IoT) environment should be the foundation. In this paper, we propose a personalized diet recommendation system framework in the IoT standardization environment that has oneM2M common service platform.

• Journal of Satellite, Information and Communications
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• v.7 no.3
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• pp.86-93
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• 2012

In this paper, we propose keyword search and ranking methods for OWL documents that describe metadata and ontology on the Semantic Web. The proposed keyword search method defines a unit of keyword search result as an information resource and expands a scope of query keyword to names of class and property or literal data. And we reflected derived information by inference in the keyword search by considering the elements of OWL documents such as hierarchical relationship of classes or properties and equal relationship of classes. In addition, our method can search a large number of information resources that are relevant to query keywords because of information resources indirectly associated with query keywords through semantic relationship. Our ranking method can improve user's search satisfaction because of involving a variety of factors in the ranking by considering the characteristics of OWL. The proposed methods can be used to retrieve digital contents, such as broadcast programs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2653-2660
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• 2013

Representative sleep disorders represent sleep apnea and snoring. Although researches to diagnose sleep disorders as solutions for these problems are going on, the original researches only diagnose and measure sleep disorders but ones to find out the reasons are not activated much. Therefore, to reinforce this, this paper suggests sleep disorder improvement system based on multi-sensor. To design the system proposed in this paper, the entire system's structure was found and data's flow was planned. To ensure that the system works, mobile application and user interface was built based on Android. To test the results on accuracy of sleep disorders improvement system based on ontology using multi sensor built and planned in this paper, a scenario was written. As a result of testing inference results' accuracy changing factor values of sleep disorders following test scenario, proposed sleep disorders improvement system's accuracy was checked.