• Journal of the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.273-300
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• 2007

In this study it is intended to develop the ontology which can express the relation between objects with emphasis on the structural representation of semantics. Its interoperability with other kinds of previous ontology and metadata was also considered so that the developed ontology may be applicable to the real situation. The ABC Ontology can get extended into another field where the application of the concept of event is Possible, for ABC Ontology Provides the fundamental framework on the axis of event. In this study it is Music where ABC Ontology can be applied properly, which results in creating Music Ontology. Music Ontology Provides the infrastructure of knowledge for reasoning of Potential meaning as well as the simple semantic connection of terms. The extended model of ABC Ontology has been developed by applying Music Ontology, which is the domain ontology and conveys meaning, to ABC Ontology that represents the whole framework. The representation of conceptual relation in ABC Ontology turns into the association of the framework and meaning in the extended model of ABC Ontology, with reasoning rules which are typical in ontology Also, interoperability of the extended model of ABC Ontology is examined in consideration of co-operating with metadata different from those in it.

• Journal of Intelligence and Information Systems
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• v.12 no.2
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• pp.33-48
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• 2006

The Semantic Web and its related technologies have been opening the era of information sharing via the Web. There are, however, several huddles still to overcome in the new era, and one of the major huddles is the issue of information integration, unless a single unified and huge ontology could be built and used which could address everything in the world. Particularly in the e-business area, the problem of information integration is of a great concern for product search and comparison at various Internet shopping sites and e-marketplaces. To overcome this problem, we proposed an ontology-driven mapping algorithm between heterogeneous product classification and description frameworks. We also peformed a comparative evaluation of the proposed mapping algorithm against a well-Down ontology mapping tool, PROMPT.

• Journal of KIISE:Software and Applications
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• v.35 no.9
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• pp.562-571
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• 2008

For the purpose of building domain ontology, this paper proposes a methodology for building core ontology first, and then enriching the core ontology with the concepts and relations in the domain thesaurus. First, the top-level concept taxonomy of the core ontology is built using domain dictionary and general domain thesaurus. Then, the concepts of the domain thesaurus are classified into top-level concepts in the core ontology, and relations between broader terms (BT) - narrower terms (NT) and related terms (RT) are classified into semantic relations defined for the core ontology. To classify concepts, a two-step approach is adopted, in which a frequency-based approach is complemented with a similarity-based approach. To classify relations, two techniques are applied: (i) for the case of insufficient training data, a rule-based module is for identifying isa relation out of non-isa ones; a pattern-based approach is for classifying non-taxonomic semantic relations from non-isa. (ii) For the case of sufficient training data, a maximum-entropy model is adopted in the feature-based classification, where k-NN approach is for noisy filtering of training data. A series of experiments show that performances of the proposed systems are quite promising and comparable to judgments by human experts.

• The KIPS Transactions:PartB
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• v.12B no.7 s.103
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• pp.803-810
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• 2005

Information retrieval is one of the most challenging areas in which the ontology technology is effectively used. Among them image retrieval using the image meta data and ontology is the one that can substitute the keyword-based image retrieval. In the paper, the retrieval of visual media such as the art image and photo picture is handled. It is assumed that there are more than one service providers of the visual media and also there is one central service broker that mediates the user's query. Given the user's query the first step that must be done in the service broker is to get the list of candidate service providers that fit the query. This is done by defining various ontologies such as the service ontology and matching the query against the ontology and providers. A novel matching method based on the ASN.1. The experiment shows that the method is more effective than existing tree-based and interval-based methods. Ontology merging issue is also handled that can happen when the service providers register their service into the service broker. An effective method is also proposed.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.57-81
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• 2019

An ontology is a complex structure dictionary that defines the relationship between terms and terms related to specific knowledge in a particular field. There have been attempts to construct various ontologies in Korea and abroad, but there has not been a case in which a large scale crime investigation record is constructed as an ontology and a service is implemented through the ontology. Therefore, this paper describes the process of constructing an ontology based on information extracted from instrusion theft field of unstructured data, a crime investigation document, and implementing an ontology-based search service and a crime spot recommendation service. In order to understand the performance of the search service, we have tested Top-K accuracy measurement, which is one of the accuracy measurement methods for event search, and obtained a maximum accuracy of 93.52% for the experimental data set. In addition, we have obtained a suitable clue field combination for the entire experimental data set, and we can calibrate the field location information in the database with the performance of F1-measure 76.19% Respectively.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.353-356
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• 2005

온톨로지는 에이전트가 지식 레벨 메시지 교환을 위해 사용하는 용어를 정의하는데 중요한 역할을 수행한다. 객체지향 모델링 중 특히 UML은 소프트웨어 공학 분야에서 많은 발전이 이루어져 왔으며, 대부분의 상업용 도구들에 의해 지원될 수 있다. 따라서, 에이전트 시스템에서 온톨로지 표현을 위해 UML을 사용한다면 에이전트 기반 시스템 개념의 이해를 돕는데 매우 효과적일 것이다. 본 연구는 온톨로지 모델링을 위해 UML 사용의 가능성을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1322-1323
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• 2011

온톨로지는 정보들간의 체계 및 상호작용을 표현하고, 이를 통해 사용자들에게 유용한 지식을 제공하는 툴로 정보과학, 전자상거래, 및 의료 분야 등에서 널리 활용되고 있다. 본 논문에서는 온톨로지 데이터베이스 관리 시스템인 XML/RDF 를 이용하여 대규모의 온톨로지 데이터를 효율적으로 처리하고 가시화하는 방안에 대해 연구한다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.43-53
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• 2014

In this paper, we propose an ontology-based approach to measuring degree-of-interest in country by analyzing wikipedia usage data. First, we developed the degree-of-interest ontology called DOI ontology by extracting concept hierarchies from wikipedia categories. Second, we map the title of frequently edited articles into DOI ontology, and we measure degree-of-interest based on DOI ontology by analyzing wikipedia page views. Finally, we perform chi-square test of independence to figure out if interesting fields are independent or not by country. This approach shows interesting fields are closely related to each country, and provides degree of interests by country timely and flexibly as compared with conventional questionnaire survey analysis.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.79-85
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• 2003

본 논문은 대량의 생물의료분야 문서에서 단백질 이름을 자동으로 인식하고 각 단백질의 특성을 문서에서 자동으로 파악하여 기존의 온톨로지와 연계시키는 방법을 제안한다. 온톨로지 용어가 문서에서 다양한 형태로 발견되기 때문에, 이들을 논리적 표현으로 자동 변환하고, 문서에서 단백질의 특성을 설명하는 문장들을 추출 및 분석하여 온톨로지 용어의 논리적 표현과 비교하였다. 문서에서 단백질 특성을 인식할 때, 약어 처리 및 조응 현상 해결 등의 자연언어처리 기법을 이용하는 방법을 제안하였다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.976-979
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• 2010

온톨로지(Ontology)란 사람들이 세상에 대하여 보고 듣고 느끼고 생각하는 것에 대하여 서로 간의 토론을 통하여 합의를 이룬 바를 개념적이고 컴퓨터에서 다룰 수 있는 형태로 표현한 모델로, 개념의 타입이나 사용상의 제약조건들을 명시적으로 정의한 기술이다. 온톨로지는 일단 합의된 지식을 나타내므로 어느 개인에게 국한되는 것이 아니라 그룹 구성원이 모두 동의하는 개념이다. 그리고 프로그램이 이해할 수 있어야 하므로 여러 가지 정형화가 존재한다. 온톨로지는 자연어의 기계 번역과 인공지능 분야에서 활용되며, 최근에는 특정 분야의 인터넷 자원과 그 사이의 관계를 기술하는 온톨로지를 사용하는 시맨틱 웹과 이것에서 파생된 시맨틱 웹 서비스 등의 핵심 요소로서 주목받고 있다. 이 논문은 본 연구에서는 창업 시스템 사례를 통한 온톨로지 개발 및 구축을 제안한다. 온톨로지를 이용한 창업 시스템의 개발은 창업 영역에서 서비스 시스템 구현의 토대가 될 것이다.