• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.168-168
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• 2003

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.181-183
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• 2012

최근 자연어 및 정형언어 처리, 인공지능 알고리즘 등을 활용한 효율적인 의미 기반 지식모델의 생성과 분석 방법이 제시되고 있다. 이러한 의미 기반 지식모델은 효율적 의사결정트리(Decision Making Tree)와 특정 상황에 대한 체계적인 문제해결(Problem Solving) 경로 분석에 활용된다. 특히 다양한 복잡계 및 사회 연계망 분석에 있어 정적 지표 생성과 회귀 분석, 행위적 모델을 통한 추이분석, 거시예측을 지원하는 모의실험(Simulation) 모형의 기반이 된다. 본 연구에서는 이러한 의미 기반 지식모델을 통합에 있어 텍스트 마이닝을 통해 도출된 토픽(Topic) 모델 간 통합 방법과 정형적 알고리즘을 제시한다. 이를 위해 먼저, 텍스트 마이닝을 통해 도출되는 키워드 맵을 동치적 지식맵으로 변환하고 이를 의미적 지식모델로 통합하는 방법을 설명한다. 또한 키워드 맵으로부터 유의미한 토픽 맵을 투영하는 방법과 의미적 동치 모델을 유도하는 알고리즘을 제안한다. 통합된 의미 기반 지식모델은 토픽 간의 구조적 규칙과 정도 중심성, 근접 중심성, 매개 중심성 등 관계적 의미분석이 가능하며 대규모 비정형 문서의 의미 분석과 활용에 실질적인 기반 연구가 될 수 있다.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.730-739
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• 2010

One of core technology in Web 2.0 is tagging, which is applied to multimedia data such as web document of blog, image and video etc widely. But unlike expectation that the tags will be reused in information retrieval and then maximize the retrieval efficiency, unacceptable retrieval results appear owing to toot limitation of tag. In this paper, in the base of preceding research about image retrieval through tag clustering, we design and implement a topic map generation system which is a semantic knowledge system. Finally, tag information in cluster were generated automatically with topics of topic map. The generated topics of topic map are endowed with mean relationship by use of WordNet. Also the topics are endowed with occurrence information suitable for topic pair, and then a topic map with semantic knowledge system can be generated. As the result, the topic map preposed in this paper can be used in not only user's information retrieval demand with semantic navigation but alse convenient and abundant information service.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.123-142
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• 2012

To develop an intelligent search engine to help users retrieve information effectively, various methods, such as Semantic Web, have been used, An effective retrieval method of such methods uses ontology technology. In this paper, we built National R&D ontology after analyzing National R&D Information in NTIS and then implemented National R&D Knowledge Map to represent and retrieve information of the relationship between object and subject (project, human information, organization, research result) in R&D Ontology. In the National R&D Knowledge Map, center-node is the object selected by users, node is subject, subject's sub-node is user's favorite query in National R&D ontology after analyzing the relationship between object and subject. When a user selects sub-node, the system displays the results from inference engine after making query by SPARQL in National R&D ontology.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.289-293
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• 2006

국내에서도 표준화 작업이 진행 중인 토픽맵은 분산된 정보와 지식의 관리를 지원하기 위한 국제 표준이다. 이 논문에서는 이클립스(Eclipse) 플랫폼의 플러그인 개발환경인 GMF를 이용하여 비교적 작은 도메인에 대한 토픽맵의 구조를 도식화된 방법으로 표현하고, 간편하고 직관적인 편집기능을 사용자에게 제공하며, 이러한 구조의 간단한 프로토타입 정보라 할 수 있는 Linear Topic Map Notation(LTM)을 만들어 내는 플러그 인을 소개할 것이다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.333-336
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• 2001

The future industry, intangible assets, like expertise, customer satisfaction, and employee's volition and capability, create more company value than any other components. The company's outcome mostly depends on managing these intangible knowledge assets. Construction industry is trying to adapt knowledge management system to manage their knowledge assets, but Hey do not build up knowledge assets definition and knowledge assets classification as much as other industries do. Most researches related knowledge assets classification are not concentrated on construction industry so it is need to define knowledge assets and establish knowledge assets classification of construction based on construction characteristics and informations. With this research result, construction knowledge assets classification can be the basis of knowledge asscts evaluation and knowledge map for knowledge management system.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.19-30
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• 2009

The service that has recently come into the spotlight utilizes the map to first approach the map and then provide various mash-up formed results through the interface. This service can provide precise information to the users but the map is barely reusable. The sketch-map system of this paper, unlike the existing large map system, uses the method of presenting the specific spot and route in XML document and then clustering among sketch-maps. The map service system is designed to show the optimum route to the destination in a simple outline map. It is done by renovating the spot presented by the map into optimum contents. This service system, through the process of analyzing, splitting and clustering of the sketch-map's XML document input, creates a valid form of a sketch-map. It uses the LCS(Longest Common Subsequence) algorithm for splitting and merging sketch-map in the process of query. In addition, the simulation of this system's expected effects is provided. It shows how the maps that share information and knowledge assemble to form a large map and thus presents the system's ability and role as a new research portal.

• 한국정보교육학회:학술대회논문집
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• 2006.01a
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• pp.57-62
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• 2006

현 ICT 교육과정에서는 컴퓨터를 이용한 응용 소프트웨어 및 교수학습 소프트웨어를 익히는 기능 위주의 학습을 추구하고 있다. 이러한 경향은 컴퓨터 교육의 생명인 지식교육에 소홀하고 있다. 또한, 앞으로의 지식 정의화 사회에서는 아이들에게 생각하는 힘 즉 사고력(思考力)을 키우는 것을 필요로 한다. 이 사고력은 문제 해결력에 직접적으로 도움이 된다. 하지만, 기존의 교육방법으로 응용 소프트웨어를 이용하는 것은 사고력 증진에 크게 도움이 되지 않았다. 이에 본 연구에서는 초등학생을 대상으로 지식교육의 핵심인 컴퓨터 구조와 작동원리 중의 하나인 영상 이미지 저장 방범 풍 비트맵 이미지 저장 원리에 관한 학습을 연구하였다.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.275-283
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• 2005

Ontologies are the core components of the Semantic Web and knowledge-based systems. But it is difficult to find useful ontologies in actual domains. In order to build useful domain ontology, the conceptualization of the domain knowledge by knowledge experts of the specific domain and the specification of conceptualized knowledge with formal languages by ontology designers are required. In addition, structured and detailed guidelines and methods should be provided to be shared by the development team members. However, existing ontology building methodologies define and describe the skeletal structure of the whole building process at the top-layer. We build a useful academic ontology that is based on the conceptual knowledge structure in the domain of philosophy, and propose a detailed methodology to build a text ontology based on Topic Maps. Our methodology consists of two phases, ontology modelling and ontology implementation. We implement a philosophy knowledge portal to support retrieving and navigating of the philosophy knowledge.

• Journal of Korean Library and Information Science Society
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• v.36 no.4
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• pp.77-98
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• 2005

The purpose of this research is to propose a powerful alternative in designing knowledge portals using Topic Maps(TM). To demonstrate the power of TM In constructing knowledge portals. we designed a TM-based korean folk music(pansori) site, tested It with an existing pansoree site (pansoree.com ) employing diverse query patterns : simple, advanced, associative, and cross referential Queries. The results show that the TM-based site outperforms the pansoree.com in searching time and steps. The TM-based site also provide novice users who do not know pansori domain with easy access to Information that they need.