• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.401-406
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• 2009

이 논문에서는 저장소에 독립적인 SPARQL-to-SQL변환 시스템 모델의 비용 평가를 수행한다. 시맨틱 웹이 발전하면서 이를 기술하기 위한 다양한 웹 온톨로지 언어들이 제안되었고 이를 저장 및 검색하기 위한 관계형 데이터베이스 기반의 저장소와 SPARQL과 같은 질의 언어가 개발되었다. SPARQL의 활용도가 높아짐에 따라 관계형 데이터베이스에 저장된 웹 온톨로지 데이터를 질의하기 위해서는 SPARQL을 SQL로 변환하기 위한 알고리즘이 필요하다. 그러나 기존에 제안된 변환 알고리즘들은 몇 가지 해결해야 할 문제점을 가지고 있는데 그 중 변환 알고리즘이 저장소에 종속적이라는 문제점 때문에 변환 알고리즘의 활용도가 떨어진다. 이를 해결하기 위하여 기존 논문에서는 저장소에 독립적으로 변환 알고리즘을 활용할 수 있는 시스템 모델을 제안하였으며 프로토타입을 구현하여 제안 모델을 통한 질의 결과의 정확성을 측정하였다. 또한, 저장소의 종속적인 모델과 독립적인 모델간의 정성적 평가를 통하여 저장소에 독립적인 모델이 여러 측면에서 활용도가 높다는 것을 평가하였다. 그러나 기존 논문에서는 제안한 시스템 모델에 대한 명확한 정량적 평가가 이루어지지 않았다. 따라서 이 논문에서는 비용 평가 모델을 정의하여 제안한 시스템 모델의 효율성을 정량적으로 평가한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.10
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• pp.1885-1890
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• 2006

Because of the rapid development of information technology and easiness in using internet, Web becomes indispensible utility in every day life and various information has been shared in internet. However, caused by the flood of information in the Web, the skill of acquiring required information with easy becomes one of the most urgent on utilizing internet. As a solution fur the requirement, Semantic Web, which upgrades present web technology by using semantic skills, has been researched actively ud Ontology is regarded as the basis of constructing semantic web system. The aim of this research is on developing agent using ontology skills for botanic resources. Moreover, the system can be used for developing and accumulating various resources effectively.

• The Journal of Society for e-Business Studies
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• v.8 no.2
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• pp.49-62
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• 2003

Along with the national and international movements to realize the electronic commerce, large amount of architectural information has been converted into digital format and stored in database systems. However the access and utilization of the information is not effective enough. It is because different terminologies are often used for describing the same object in architectural engineering. Furthermore the relationship among related objects is not captured effectively in the databases. In this paper, we utilize the relationship among architectural terminologies in order to search architectural drawings effectively. The relationship is saved in a ontology database and a prototype of search system that utilizes the relationship is presented in this paper.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.195-198
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• 2009

Recently, research in building up semantic web for exchanging information and knowledge is active. To make use of video contents as knowledge on semantic web, semantic-based retrieval should be preceded. At present, retrieval based on consentaneity between metadata and keyword is common used. In this paper, I propose ontolgy establishment which enlarge user participation and add usefulness value and history information. This will facilitate semantic retrieval as well as use of video contents by using collective Intelligence. The proposed ontology schema will allow semantic-based retrieval of video contents on semantic web get higher recall compared to current way of retrieval. Moreover it enables you to make use of various video contents as knowledge.

• The Journal of Society for e-Business Studies
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• v.15 no.2
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• pp.19-35
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• 2010

In response to an increased need, various methods for ontology modularization have been proposed. However, few studies have focused on evaluative methods for ontology modules. In this study, we devise novel metrics to measure ontology modularity. To evaluate the ontology modules, we introduce cohesion and coupling based on the theory of software metrics. A cohesion metric and two coupling metrics were used to measure cohesion and coupling for ontology modules. These metrics were also used to check consistency between the ontology modules and the original ontology. The new metrics support a more detailed relationship between classes in ontology modules. We validate the proposed metrics using the well known verification framework and perform the empirical experiments to complement previous investigations. This study offers ontology engineers valuable criteria with which to select and use ontology modules and modularization techniques.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.9
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• pp.904-917
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• 2010

Much research on ontology has been done during the last decade in order to represent knowledge and connect data semantically in AI and Semantic Web areas. However, ontologies might be represented and defined in different ways depending on knowledge and intention of users. It causes heterogeneity problem that the same concept can be differently expressed. This paper introduces a XOB (XMDR-based Ontology Builder) system based on XMDR to resolve the problem. XOB creates ontologies by reusing classes and relations defined in XMDR. XOB therefore is able to either solve or minimize the heterogeneity problem among ontologies. This paper introduces the conceptual model and overall architecture of the proposed system XOB. This paper defines the process, algorithm, ontology generation rule that is required to create ontologies by using concepts registered in XMDR. Our proposal supports higher standardization than the previous approaches, and it provides many advantages such as consistent concept usage, easy semantic exchange, and so on. Therefore, XOB enables high-quality ontology creation and reduces cost for ontology integration and system development.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.953-957
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• 2009

This paper proposes a keyword-based query translation system for the semantic web. With the relationship between keywords and ontology structure information, the system converts keyword based queries into queries written by formal query language which is appropriate for the semantic web. As a result, casual web users could not only express queries easily but also obtain the better result.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.268-270
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• 2005

본 논문에서는 온톨로지를 활용하여 생물학 데이터를 효율적으로 통합 검색하기 위한 XQuery일 확장 시스템을 설계하고 구현하였다. 이를 위해 본 논문에서는 먼저 공개 생물학 온톨로지 등인 GO, UMLS들로부터 의미 있는 정보를 추출하기 위한 생물학 온톨로지 API를 온톨로지별로 정의하였다. 정의된 온톨로지 API는 본 시스템에서 사용하는 XQuery의 사용자 정의 함수로써 포함되며 이 XQuery는 본 시스템에 내장된 XQuery Expander에 의해 확장되어 처리된다. 확장된 XQuery는 온톨로지를 이용함으로써 이질적인 구조와 용어로 이루어진 생물학 데이터들을 통합 검색 할 수 있으며, 온톨로지에 정의되어 있는 지식과 관계들을 확장검색에 활용함으로써 재현율을 획기적으로 높일 수 있다. 본 논문에서는 또한 XQuery의 작성을 용이하게 할 수 있도록 지원하는 GUI 환경도 구현하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.1
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• pp.15-23
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• 2010

This paper presents a method of constructing a large interlinked ontology network for the Web of Data through the mapping among typical ontologies. When an ontology is open to the public, and more easily shared and used by people, its value is increased more and more. By linking CoreOnto, an IT core ontology constructed in Korea, to the worldwide ontology network, CoreOnto can be open to abroad and enhanced its usability. YAGO is an ontology constructed by combining category information of Wikipedia and taxonomy of WordNet, and used as the backbone of DBpedia, an ontology constructed by analyzing Wikipedia structure. So a mapping method is suggested by linking CoreOnto to YAGO and DBpedia through the synset of WordNet.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.205-210
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• 2009

This paper proposes an ontology-based context aware system model for the purpose of storing and managing agricultural products using ubiquitous sensors to share and distribute information. In these days, according to penetrating ubiquitous technologies into our way of life, the importance of information is increasing gradually. The importance of ontology in a domain is getting as well. Therefore, this paper designs and build an ontology-based agricultural products warehouse model using context aware state information obtained by using wireless sensors. Also, it shows the result described by graphical ontology results to share common understanding on the structure of context information among users, devices and services to enable semantic interoperability owing to the information of the context aware state of the warehouse.