• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.393-396
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• 2008

의료 분야의 정보화 움직임으로 인해 단순한 정보저장과 검색시스템에서 벗어나 지능화된 서비스를 제공해주는 시멘틱 웹 기반의 의료 시스템이 요구되고 있다. 이에 한의학 분야도 한의사의 진단을 보조할 수 있는 지식기반시스템에 대한 요구가 증대되고 있다. 온톨로지는 시멘틱 웹의 핵심적인 지식체계로 지식의 처리와 추론이 가능하므로 질의 및 논리 추론을 통하여 진단을 내리는 한의학 지식 데이터베이스 구축에 적합하다. 따라서 본 연구에서는 한의학 진단의 기반이 되는 환자의 질병, 증상, 원인, 처방 등의 관계를 온톨로지로 구축하여 한의학 분야의 지식을 표현하기 위한 기본 지식 체계를 제시하고 구축된 한의학 온톨로지를 기반으로 한의학 진단보조시스템을 개발한다. 구축 된 시스템은 한의사 진단을 보조하여 줄뿐만 아니라 한의학의 진단 결과를 객관적으로 점검할 수 있게 해준다. 또한, 진단보조시스템과 온톨로지 관리시스템을 결합함으로써 컴퓨터 비전문가에 의한 한의학 온톨로지의 확장 및 수정이 가능하도록 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.325-328
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• 2012

본 연구는 사용자가 특정 전문지식에 대하여 검색하는데 있어 관계형 데이터베이스와 온톨로지를 결합해 보다 적합한 검색 결과를 반환하도록 하는 관계형 데이터베이스와 온톨로지 병행모델에 관한 것이다. 데이터나 정보 양의 급격한 증가는 검색 결과의 사용자 확신을 도리어 떨어트리는 big data 문제에 부딪히게 되었으며 모바일 기기의 사용 증가는 검색과 결과의 판단에 있어 인간의 관여를 줄이는 단순성을 높이는 것이 강조되고 있다. 따라서 본 연구는 고수준의 의사결정이 요구되는 분야에 있어서의 검색 성능을 높이기 위해 관계형 데이터베이스로 구성된 데이터에 온톨로지를 결합시켜 사용자에게 적합한 데이터를 반환할 수 있는 모델에 대해 지원해보고자 한다. 본 연구의 검증을 위해 전문 지식이 요구되는 의약품 분야의 데이터베이스를 기준으로 서비스를 제공하는 사이트에서의 검색을 통해 문제점을 제시하고 연구의 필요성을 제시한다.

• Journal of the Korea Convergence Society
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• v.6 no.3
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• pp.127-134
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• 2015

In this paper, we design a semantic-based syllabus template including learning ontologies. A syllabus has been considered as a important blueprint of teaching in universities. However, the current syllabus has no importance in real world because most of all syllabus management systems provide simple functionalities such as, creation, modification, and retrieval. In this paper, our approach consists of definition of hierarchical structure of syllabus and semantic relationships of syllabuses, formalization of learning goals, learning activity, and learning evaluation using Bloom's taxonomy and design of learning subject ontologies for improving the usability of syllabus. We prove the correctness of our proposed methods according to implementing a real syllabus for JAVA programing course and experiments for retrieving syllabuses.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.5
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• pp.380-388
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• 2017

The services of the IoT environment should constantly collect situation information, and perform appropriate actions according to the situation. Therefore, there is a need for a method that can express collected situation information. In this paper, we propose a situation information model based on ontology for IoT environment. Since the proposed model is ontology based, it supports semantic interoperability. We also build an upper-level ontology to model common situation information of various IoT domains. It is easy to understand and use because it expresses situation information consistently by expressing person, environment, and thing constituting IoT environment as class and defining properties indicating the situation. In addition, since the situation information need to reflect dynamic situation, it has a feature to model the creation time and the life time of the situation information so as to judge the validity of the information. The proposed ontology model is described using OWL, and the service can be described based on the constructed ontology.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1043-1054
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• 2009

As the semantic web receives higher concern with an intensified necessity in these days, the research on the ontology as its core technology has been carried out in various fields. The ontology has been adopted as an alternative to work out lots of problematic issues resulted from the insufficient vocabulary selection rules in folksonomy, widely accepted under Web 2.0. Therefore the importance of research to complementarily consolidate the two disciplines, the folksonomy and the ontology, has been increased. Based on this idea this research proposes a system, which pulls out, using open services, the location information tags from folksonomy-based metadata, ultimately extracts, following location information analyses, spatial relationships among tags, and in turn automatically constructs self-correcting location information domain ontology. The system devised in this study will associate data derived from easily accessible folksonomy with meaningful and technological information from ontology.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.671-678
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• 2019

The semantic information provided through the semantic-based IoT system will produce new high value-added products that are completely different from what we have known and experienced. From this point of view, the key issue of current IoT technology and applications is the development of an intelligent IoT platform architecture. The proposed system collects the IoT data of the sensors from the cloud computer, converts them into RDF, and annotates them with semantics. The converted semantic data is shared and utilized through the ontology repository. We use KT's IoTMakers as a cloud computing environment, and the ontology repository uses Jena's Fuseki server to express SPARQL query results on the web using Daum Map API and Highcharts API. This gives people the opportunity to access the semantic IoT mash-up service easily and has various application possibilities.

• Journal of KIISE:Software and Applications
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• v.33 no.12
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• pp.1062-1072
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• 2006

Recently, new intelligent service frameworks, such as ubiquitous computing are proposed. So, the necessity of adaptive agent system has been increased. In this paper, we propose an intelligent service agent to help that ubiquitous computing system offer user suitable service in ubiquitous computing environment. In order to offer user suitable uT-service, an intelligent service agent mediates the gap between the context information in uT-service system, and user preference is reflected in it. Therefore, we focus on following three components; the first is suitable multi agent framework-agent communication analysis and applicable method of inference engine, the second is uT-ontologies to describe various context information-context information sharing between agents and context information understanding between agents, the third is learning method of user profile to apply in uT-service system. This approach enables us to build adaptive uT-service system to offer suitable service according to user preference.

• Journal of KIISE:Information Networking
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• v.32 no.2
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• pp.123-133
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• 2005

In recent years, service discovery is one of the major technologies of home networks which head for a pervasive computing environment. However, existing service discovery techniques are difficult to understand semantics, and they only provide syntactic level service matching. To solve these problems, we have designed and developed ontology for semantic service discovery. Our ontology could enrich the amount of devices and services representations with semantics, and the relation of devices and service could be efficiently described through primitive service. For representing context information of devices, we describe attributes of device including location information, device status and etc. To determine whether the developed ontology can be applied to service discovery systems, we have implemented a semantic service discovery system by extension of the existing Jini lookup service. Also, we have evaluated our ontology with associated software environment according to some experiment scenarios, and have proved the usefulness of our ontology-based semantic service discovery system.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.575-582
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• 2008

본 논문은 시맨틱 웹 기술이 어떻게 국가 표준(KS) 정보 검색 서비스 내 정보들을 연계시키고 사용자 접근성을 향상시키는 데 도움을 줄 수 있는지를 실증적으로 보여준다. 기존 표준 정보 검색 서비스는 용어 검색의 유연성이 부족하여 표준 정보에서 사용된 용어와 사용자 용어 간의 괴리를 해소하지 못했으며 표준, 기관, 인력 등 상호 관련성을 가진 개체 정보들을 개별적으로 서비스하였다. 이러한 상황은 사용자의 표준 정보 검색 서비스 접근성을 떨어뜨리는 요인으로 작용한다. 본 연구에서는 유의어, 관련어를 중심으로 한 표준 용어 사전 구축을 통해 사용자 용어와 표준 정보 내 용어 간의 원활한 매칭을 지원하며, 표준 관련 개체들을 온톨로지와 추론을 통해 연계시키는 방안을 제시한다. 개선된 표준 정보 검색 서비스는 개선된 표준 정보 검색 서비스는 개체 중심적 통합 검색 결과 제공 방식으로 관련 정보들을 단일 웹 페이지 내에서 확인할 수 있도록 해준다. 예를 들어, 특정 KS 표준 검색 결과 페이지에서는 기존에 DB 접근이나 검색 엔진을 통해 바로 획득할 수 없었던 정부 표준들, 기관들의 해당 KS 표준 인용 현황, 해당 KS 표준 전문가들, 부합화를 위해 참조된 국제 표준들, 해당 KS 표준 전문가들, 부합화를 위해 참조된 국제 표준들, 해당 KS 표준 전문가 네트워크, 해당 KS 표준 내 표준 용어 사전 정보 등 다양한 관련 정보들을 조합하여 서비스한다. 본 연구를 위해 모델링된 온톨로지와 시맨틱 웹기반 서비스 프레임워크인 OntoFrame 상에서 추론 작업이 표준 정보 적재 시에 전방 추론 (Forward-chaining) 방식으로 수행되었으며, 표준 온톨로지 질의 언어인 SPARQL (SPARQL Protocol and RDF Query Language)을 이용해 일반 검색 서비스 수준의 속도로 서비스될 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.678-680
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• 2013

Recently, A computing environment are provided that can easily be used for services based on the cloud environment. Among them, SaaS(SoftWare as a Service) is that it provides cloud users to be available by placing the cloud systems on the Internet software. But, the problem with this, problems is that user can not be utilized to not find a service registered in the cloud system. The thing to make clear the meaning and relationship between services using the ontology to solve these problems, It must be supported to be used to find the exact service the user wants. Ontology for service discovery can be used to help to find services by guessing relevance by using the function or service names entered by the user. We provide how to configure the service ontology and the search system of services using ontology.