• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.291-304
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• 2007

The Resource Description Framework(RDF) utilized for the representation and storage of information in various application, plays an important role in the Semantic Web, the next generation web. A number of RDF systems have been implemented for retrieval of RDF metadata. However, they do not provide the sufficient performance for the querying function of practical application system. In this paper we describe the design and implementation of RDF system, SMARTTriple, which has a RDF storage structures using index map and provides the better performance than the previous systems. We present a performance comparison results with the well-known RDF systems. SMARTTriple will be a great contribution to the research and development of Semantic Web application.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.535-538
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• 2004

정보통신의 발전은 경제 구조에 많은 변화를 가져왔으며, 향후에도 많은 변화를 예고하고 있다. 가장 대표적인 것은 경제 흐름의 근간이라 할 수 있는 유통의 변화일 것이다. 이것은 통신망 위에 구축되는 가상의 공간에서 이루어지는 유통을 지칭하는 것으로, 빠른 속도로 발전하고 있다. 그러나 무수히 많은 상품들을 각 싸이트별 상품 데이터베이스를 구성하는 것은 매우 불합리한 단순 반복 작업이라 하겠다. 이런 문제를 해결하기 위해 시멘틱 웹의 RDF(Resource Description Framework)언어를 이용하여 웹 온톨로지를 구성하여 공급자와 판매자간 상품 데이터를 공유하게 된다면, 전자상거래에 효율성을 가져올 것이라 생각된다. 따라서 본 논문에서는 RDF의 소개와 RDF 웹 온톨로지 편집기를 제작하고, 구성된 RDF를 참조하여 간단한 쇼핑몰을 구성하여 온톨로지를 통한 데이터의 효율적 상호운영성 (Interoperability)을 증명하여, 현재 제안되고 있는 상품 카탈로그 분야의 발전에 기여하고자 한다.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.2
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• pp.125-133
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• 2009

RDF is widely used as the ontology language for representing metadata on the semantic web. Since ontology models the real-world, ontology changes overtime. Thus, it is very important to detect and analyze changes in knowledge base system. Earlier studies on detecting changes between RDF models focused on the structural differences. Some techniques which reduce the size of the delta by considering the RDFS entailment rules have been introduced. However, inferencing with RDF models increases data size and upload time. In this paper, we propose a new change detection using RDF reasoning that only computes a small part of the implied triples using backward chaining strategy. We show that our approach efficiently detects changes through experiments with real-life RDF datasets.

• Journal of Korean Library and Information Science Society
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• v.37 no.3
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• pp.415-431
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• 2006

The semantic web was proposed as the next generation web technology. In the environment of the semantic web, resources as well defined and related with each other semantically, the RDF supports this basic mechanism. To establish and develop the semantic web. the basic technologies related to RDF data must be pre-established. In this research, we develop methods for storing and querying RDF data using an XML database system. As using XML database, XML data and RDF data can be integrated and efficiently managed. We construct and evaluate a system applying the proposed method to store and search data, we compared the query processing performance on our system with that of an existing system. The experiment result show that our system processes queries more efficiently.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.447-450
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• 2004

인터넷의 보급으로 인해 수많은 데이터가 생성되고 있고 이러한 데이터를 효율적으로 관리하고자 메타데이타 표준이 수차례에 걸쳐 발표되었다. 그러나 기존 발표된 표준들은 데이터 관리를 위해 특정 도메인에 제한적이거나 너무 광범위하여 효율적이지 못하다는 문제를 가지고 있다. 또한 표준에 따라 생성된 메타데이타라 할지라도 유효성을 검증하지 못하기 때문에 정확한 메타데이타로 정의내릴 수 없는 실정이다. 따라서 본 논문에서는 RDF(Resource Description Framework)에 기초하여 메타데이타를 효율적으로 저작할 수 있는 저작 기능, 생성된 메타데이타에 대한 유효성 검증이 가능한 유효성 검증 기능, 메타데이타의 N-Triple 표현을 지원하고 생성할 수 있는 N-Triple Generator를 지원할 수 있는 RDF 기반 저작 틀을 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.531-534
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• 2004

인터넷에 있는 많은 응용프로그램들의 용도와 부가적인 정보를 아는 것은 매우 어렵다. 웹에는 수많은 정보들이 존재하고 이것들을 필요에 따라 정확하게 검색하는 것이 점점 어려워지고 있다. 이러한 어려움을 해결하기 위해 현재 메타데이터를 사용하여 웹 자원을 검색하는 연구가 활발하게 진행되고 있다. W3C는 메타데이터의 상호운용성과 통합을 위한 환경으로 RDF(Resource Description Framework)를 표준으로 정했다. 본 논문에서는 응용프로그램이나 프로그램 개발에 필요한 작은 단위의 프로그램에 대해 RDF를 이용하여 메타데이터로 만들고 이것을 대상으로 검색 가능하도록 하여 사용자가 원하는 정보를 보다 정확한 검색을 수행할 수 있도록 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.626-628
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• 2014

The Information retrieval system is more accurate of the information for you want to search, and quickly delivered. But the current search system is a simple way to parse on users fail to provide accurate information. This paper describes the ontology servers retrieve information through the system. Proposed system is Semantic Web-based information retrieval techniques in addition to structured documents using a variety of formats to maximize their data processing. In addition, interoperability and data integration RDF (Resource Description Framework) for saving documents by supporting rapid and accurate information retrieval. This supports a variety of Web browsers on the Web will be utilized in the field of efficient data retrieval.

• Journal of KIISE:Databases
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• v.33 no.5
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• pp.476-485
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• 2006

The Resource Description Framework(RDF), which emerged with the semantic web, is settling down as a standard for representing information about the resources in the World Wide Web Hence, a lot of research on storing and query processing RDF documents has been done and several RDF storage systems, such as Sesame and Jena, have been developed. But the research on updating RDF documents is still insufficient. When a RDF document is changed, data in the RDF triple store also needs to be updated. However, current RDF triple stores don't support incremental update. So updating can be peformed only by deleting the old version and then storing the new document. This updating method is very inefficient because RDF documents are steadily updated. Furthermore, it makes worse when several RDF documents are stored in the same database. In this paper, we propose an incremental update algorithm on RDF, documents in triple stores. We use a text matching technique for two versions of a RDF document and compensate for the text matching result to find the right target triples to be updated. We show that our approach efficiently update RDF documents through experiments with real-life RDF datasets.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.158-165
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• 2018

Since a large amount of multimedia image has dramatically increased, it is important to search semantically relevant image. Thus, several semantic image annotation methods using RDF(Resource Description Framework) model in mobile environment are introduced. Earlier studies on annotating image semantically focused on both the image tag and the context-aware information such as temporal and spatial data. However, in order to fully express their semantics of image, we need more annotations which are described in RDF model. In this paper, we propose an annotation method inferencing with RDFS entailment rules and user defined rules. Our approach implemented in Moment system shows that it can more fully represent the semantics of image with more annotation triples.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.61-64
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• 2001

We propose a message-based communication protocol for software agents. An emphasis is placed on the problems of sharing and exchanging information through agent communication. We adopt the Resource Description Framework (RDF) schema for information modelling in business domain. The eXtensible Markup Language (XML) serialization is used to generate messages for agent communication. The use of XML and RDF enables software agents to understand the contents of messages correctly and consistently. We believe that the approach can provide a promising way to the automation of business processes through seamless communication among the partners.