• 한국도서관정보학회지
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• 제46권2호
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• pp.257-287
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• 2015

본 연구는 패싯 이론을 기반으로 한 온톨로지 구축방법을 제안한다. 스마트폰 온톨로지를 설계하는 과정에서 패싯 분류체계를 적용하여 온톨로지 모델링에 있어서 패싯 분석의 활용가능성을 점검하였다. 랑가나단과 CRG의 패싯 분류 이론에 기반하여 '유형', '사양', '기능', '작업', '상품', '개인', '기업', '장소', '시간'의 스마트폰 기본 패싯을 설계하였다. 본 연구에서 제안한 패싯 구조 기반 온톨로지는 상품관련 다양한 클래스의 계층구조를 개념적으로 이해하고 클래스와 속성의 다각적 관계를 체계적으로 파악하는데 활용될 수 있을 것이다.

• Journal of Information Technology Applications and Management
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• 제20권2호
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• pp.161-176
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• 2013

The outcomes of entrepreneurship studies have been tried to help the entrepreneurs in start-up stages, but the outcomes of the entrepreneurship research are not fully utilized to guide the activities of the entrepreneurs in start-up businesses. To utilize the outcomes of entrepreneurship research for helping entrepreneurs effectively, an entrepreneurship ontology, a systemized specification of the knowledge in the entrepreneurship research, has to be established, Based on the entrepreneurship ontology, the knowledge of entrepreneurial processes can be illustrated, and a diagnosis and coaching system for the entrepreneurs can be built effectively. To establish an entrepreneurship ontology, this study investigates the intellectual structure of entrepreneurship studies by analyzing the contents of top journals in entrepreneurship field, and identifies the relationship among the key concepts through bibliometric analyses based on entrepreneurship corpus, This study suggests a method of establishing entrepreneurship ontology and utilization of the ontology. Through utilization of the entrepreneurship ontology, it is expected to explain the entrepreneurial processes effectively and to improve the rate of business success.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.75-88
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• 2023

In a specific domain, experts have different understanding of domain knowledge or different purpose of constructing ontology. These will lead to multiple different ontologies in the domain. This phenomenon is called the ontology heterogeneity. For research fields that require cross-ontology operations such as knowledge fusion and knowledge reasoning, the ontology heterogeneity has caused certain difficulties for research. In this paper, we propose a novel ontology matching model that combines word embedding and a concatenated continuous bag-of-words model. Our goal is to improve word vectors and distinguish the semantic similarity and descriptive associations. Moreover, we make the most of textual and structural information from the ontology and external resources. We represent the ontology as a graph and use the SimRank algorithm to calculate the structural similarity. Our approach employs a similarity queue to achieve one-to-many matching results which provide a wider range of insights for subsequent mining and analysis. This enhances and refines the methodology used in ontology matching.

• Journal of Computing Science and Engineering
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• 제3권2호
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• pp.90-108
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• 2009

In this paper, we present an ontology mediation solution based on the methods frequently used in Formal Concept Analysis. Our approach of mediation is based on the existence of instances associated to two source ontologies, then we can generate concepts in a new ontology if and only if they share the same extent. Hence our approach creates a merged ontology which captures the knowledge of these two source ontologies. The main contributions of this work are (i) to enable the creation of concepts not originally in the source ontologies, (ii) to propose a solution to label these emerging concepts and finally (iii) to optimize the resulting ontology by eliminating redundant or non pertinent concepts. Another contribution of this work is to emphasize that several forms of mediated ontology can be defined based on the relaxation of certain criteria produced from our method. The solution that we propose for tackling these issues is an automatic solution, meaning that it does not require the intervention of the end-user, excepting for the definition of the common set of ontology instances.

• 한국멀티미디어학회논문지
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• 제18권7호
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• pp.873-885
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• 2015

Today, It is difficult to search the various and numerous information efficiently. For this reason, Semantic Web emerged to provide searching services more easily through the structuring of a variety of unstructured format data and the definition of meaningful relationships between information. Especially, definition of relationship and meaning among resources is significant to share and infer related information. Ontology modeling plays just that role. Weapon parts development information is unstructured and dispersed all over. There are many difficulties in finding desired information, leading to getting improper outcomes. In this paper, we present an intuitive ontology model with weapon parts development information including the multi-dimensional information analysis and expansion of the relevant information. This study build up a ontology model through creating class and hierarchy about parts information and defining the properties of classes with Ontology Development 101[1] procedures using Protégé tools. The ontology model provides users with a platform on which search of needed information can be easy and efficient.

• 한국산업정보학회논문지
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• 제9권1호
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• pp.17-23
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• 2004

본 논문은 한국어정보처리에서 단어의 의미를 결정하기 위한 말뭉치 기반의 온톨로지 학습 방법을 제시하고 있다. 먼저 이미 확보된 전자사전의 정보를 이용하여 단어의 확실한 의미를 우선 결정한 후, 아직 결정하지 못한 단어의 의미는 온톨로지를 이용하여 최종 결정하는 절차를 거친다. 온톨로지를 단어 의미 중의성 해소를 위한 지식베이스로 사용하기 위해서는, 온톨로지 내 개념들간의 상호정보가 말뭉치의 통계 정보에 근거하여 미리 계산된다. 계산된 상호정보 값을 가중치로 간주하면 온톨로지는 가중치 그래프로 생각할 수 있으므로, 개념간 최소 경로를 통하여 개념간 연관도를 알아 볼 수 있다. 실제 기계번역 시스템에서 본 방법은 온톨로지를 사용하지 않은 방법보다 9％의 성능 향상을 가져오는 결과를 얻을 수 있었다.

• 한국한의학연구원논문집
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• 제14권2호
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• pp.121-129
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• 2008

The fusion research subjects of Oriental medicine and Information-Technology are actively advanced. These researches provide Oriental medicine the objectivity and support the infra to all study area of Oriental medicine. This paper considers the inside and outside of the country technical development trend of ontology research by analyzing papers and going through case study. It executed information analysis about changes to number of research papers, present state and star higher officer of research facility from the dissertation which it sees. It is known that our country research result is slight so far in quantity and quality as result of analysis. But hereafter it contains many developmental possibilities. Also it reflects the appearance and a growth of new field like bio-informatics biology. In the area of medicine, ontology used to define the terminology for information documentation and the medical terms linked up by high correlation. Also medical information system developed briskly using ontology technology. The ontology of traditional korean medicine play an important role in base infra of traditional korean medicine EHR(Electronic health record).

• 한국한의학연구원논문집
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• 제11권2호
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• pp.35-52
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• 2005

This study is to design a Semantic Navigation Retrieval System for Oriental Medicine Articles based on a XTM so that people can search and use them more effectively than before. Keywords extracted from articles are categorized 4 topics : herbs, prescription, disease, and action. Keywords analysis Ontology is modeled based on 4 topics and their relations, and then represented Topic maps. Next, Article analysis Ontology is consist of title, author, keywords, abstracts and organization Topics from metadata. Keywords and Article analysis Ontology were integrated through Keywords Topic. Korean Medical Article Retrieval System is optimistic in terms on search results supporting semantic navigation in the information service aspects and easier accessibility because all related information are semantically connected with each different DBs.

• 대한한의진단학회지
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• 제14권1호
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• pp.57-69
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• 2010

Background: This is a study for building up the database foundation and about graphic structures of Ontology Network systems of Taeyangbyung compilation in Sanghannon in Traditonal Korean Medicine. Therefore, we began to this study about the systematic clinical ontology network systems with priority given to symptoms of Taeyangbyung compilation in Sanghannon. Purpose: We have two goals to carry out this study. The first, we will establish the minimum clinical grouping data sets about symptoms of Taeyangbyung compilation in Sanghannon. The second, we will find out graphic structures of ontology network system in this part, and analysis that. Methods: Through MS office Excel, Access and Netminer software, we will construct the minimum clinical grouping data sets and the graphic structures of ontology network system about symptoms of Taeyangbyung compilation in Sanghannon, and analysis that. Results: We established the minimum clinical grouping data sets about symptoms of Taeyangbyung compilation in Sanghannon through MS Excel and Access software, and constructed the ontology images to structurize our database through Netminer program, and analysis that. Conclusions: Further research about ontology network between symptoms and prescription and three Yang and three Um(Taeyang, Soyang, Yangmyung, Taeum, Soum, Gualum) Disease compilation is necessary.

• 한국컴퓨터정보학회논문지
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• 제19권4호
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• pp.43-53
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• 2014

본 논문에서는 위키피디아 사용 데이터를 분석하여 국가별 관심도를 측정하는 기법을 제시하였다. 먼저 해당 국가에 대한 분야별 관심도를 측정하기 위해서 위키피디아 카테고리로부터 개념 계층 구조를 추출하여 관심도 온톨로지를 구축하였다. 관심도 온톨로지는 국가에 대한 관심 분야를 정치, 경제, 사회, 그리고 문화로 분류하고 각 대분류에 대해 다시 세부 분야으로 분류하였다. 다음으로, 특정 국가의 페이지에서 자주 편집된 기사들의 제목을 관심도 온톨로지에 매핑하여 분야별 페이지 뷰를 분석하였다. 마지막으로 한국, 중국, 그리고 일본에 대한 국가별 관심도를 측정하고 국가별로 위키피디아 사용자들의 관심 분야가 다른지 판별하기 위해서 카이 제곱 독립성 검정을 실시하였다. 실험 결과는 위키피디아 사용자들의 관심 분야가 각 국가와 연관성이 있음을 보여준다. 본 연구는 기존의 설문조사 방식으로 국가 이미지를 측정하는 경우보다 적시에 그리고 유연하게 분야별 관심도를 측정할 수 있는 방안을 제시하며, 위키피디아 사용 데이터 분석 결과를 국가 이미지 개선을 위해 분야별로 재고할 방향을 제시한다.