• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.11-16
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• 2008

본 논문은 온톨로지(ontology) 작성에 사용되는 RDF(Resource Description Framework) 모델을 CPN(Colored Petri Net) 모델로 변환하여 표현하는 방법을 제안하고, 페트리 넷 시뮬레이션으로 RDF의 의미를 해석하여 RDF 질의문에 답할 수 있음을 보인다. 또한, 어떠한 RDF 모델도 CPN 모델로의 변환이 가능하다는 제안 방법의 완전성과 무결성을 소개하고, 제안한 방법으로 구축된 CPN 모델에서 RDF 질의에 대해 정확하게 결과를 구하는 방법을 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.623-625
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• 2003

The Semantic Web stands out in the next generation web, recently. In the Semantic Web, any information resources is defined by semantics and semantic links is given among these. It is different from existing web service environment. RDF (Resource Description Framework) is the data model to describe metadata of web resource and is to support for semantic links. And it is much the same as WSDL (Web Serice Description Language). In theis paper, we propose the RDF design method to improve the search performance by integrating RDF data unit with WSDL. We confirm the performance and efficiency of search will be improved by using the proposed method.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.173-181
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• 2009

This paper proposes an algorithm to transform RDF(Resource Description Framework) models for ontology into CPN(Colored Petri Net) models. The algorithm transforms the semantics of the RDF model into the topology of the CPN by mapping the classes and the properties of the RDF onto the places of the CPN model then reflects the RDF statements on the CPN by representing the relationships between them as token transitions on the CPN. The basic idea of reflecting the RDF statements on the CPN is to generate a token, which is an ordered pair consisting of two tokens (one from the place mapped into the subject and the other one from the place mapped into the object) and transfer it to the place mapped into the predicate. We have actually built CPN models for given RDF models on the CNPTools and inferred and extracted answers to the RDF queries on the CPNTools.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.195-197
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• 2016

시멘틱웹을 구축하는 표준언어인 RDF (Resource Description Framework)는 언어의 그래프 기반 특성으로 인해 일반적인 방식들로는 효과적인 저장과 추출이 어렵다. 더욱이 대용량 RDF 데이터의 저장과 추출에는 성능문제가 더욱 커지므로 많은 연구들이 이루어지고 있다. 본 논문에서는 SPARQL을 지원하면서 RDF 파일들을 효과적으로 저장하고 검색할 수 있는 저장방식에 대해 연구한 결과를 제시한다. RDF 데이터를 전처리를 통해 RDF의 트리플(주어:subject, 술어:property, 목적어:Object)에서 중복되는 주어(S)나 목적어(O)를 묶고, 사용자가 SPARQL 형식으로 검색했을 때 이용자가 주어부분을 변수로 두었는지 아니면 서술어 부분을 변수로 두어 찾는지에 따라 검색어와 유사한 단어 클러스터를 찾아준다. 동일 단어에 대해 여러 번 검색되던 부분을 한 번 검색으로 처리할 수 있기 때문에 효율이 높아진다.

• Journal of the Korean Society for information Management
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• v.17 no.3
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• pp.147-170
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• 2000

RDF treats all resources independently, that's integrated description model for internet resources description, that provides the model to connect resources that related with the specific resources. This article performs theoretical review of RDF model and syntax specification and RDF schema specification that's a common rule of semanics, structure and syntax those provides search and access in the area of dispersed information environment of internet and Dublin Core that's description element for build metadata. And with this way it's materialized metadata design, schema, DTD of Dublin Core element for building RDF-based metadata that is XML application.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.123-129
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• 2007

On the Semantic Web, the content of the documents must be explicitly represented through metadata in order to enable contents-based inference. In this study, we propose a mechanism to convert the Conceptual Graph (CG) into Resource Description Framework (RDF). Quite a large number or representation languages for representing knowledge on the Web have been established over the last decade. Most of these researches are focused on design of independent knowledge description. On the Semantic Web, however, a knowledge conversion mechanism will be needed to exchange the knowledge used in independent devices. In this study, the CG could give an entire conceptual view of knowledge and RDF can represent that knowledge on the Semantic Web. Then the CG-based object oriented PROLOG could support the natural inference based on that knowledge. Therefore, our proposed knowledge conversion mechanism will be used in the designing of Semantic Web-based knowledge representation and inference systems.

• IE interfaces
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• v.21 no.2
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• pp.177-188
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• 2008

Recently, due to emerging technologies such as radio frequency identification(RFID), global positioning system(GPS), and wireless mobile communication technologies, it is possible to build up the infrastructure for tracking and tracing product logistics data at any place and at any time. However, for implementing the infrastructure, it is necessary to develop a suitable management method for product logistics data. To this end, this study deals with a resource description framework(RDF) based modeling and application method for product logistics data in the ubiquitous environment. It will give us the capability to control product logistics data, which leads to streamline logistics operations.

• Journal of the Korea Society of Computer and Information
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• v.22 no.6
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• pp.57-68
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• 2017

The Linked Open Data(LOD) cloud is quickly becoming one of the largest collections of interlinked datasets and the de facto standard for publishing, sharing and connecting pieces of data on the Web. Data publishers from diverse domains publish their data using Resource Description Framework(RDF) data model and provide SPARQL endpoints to enable querying their data, which enables creating a global, distributed and interconnected dataspace on the LOD cloud. Although it is possible to extract structured data as query results by using SPARQL, users have very poor in analysis and visualization of RDF data from SPARQL query results. Therefore, to tackle this issue, based on Formal Concept Analysis, we propose a novel approach for analyzing and visualizing useful information from the LOD cloud. The RDF data analysis and visualization technique proposed in this paper can be utilized in the field of semantic web data mining by extracting and analyzing the information and knowledge inherent in LOD and supporting classification and visualization.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.29-40
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• 2000

With increasing amounts of information on the web and needs to access accurately them, it is very important to standardize metadata and to store and manage system. The RDF(Rdsource Description Framework) is a framework for representing exchanging, and reusing metadata. And, it can be processing uniformly the standardized metadata, because it uses XML(eXtensible Markup Language) syntax. The RDF schema provides a basic type system for use RDF models. In this paper, we propose rules and an algorithm to convert the RDF schema into an UML(Unified Modeling Language) class diagram and formal models to represent an object-oriented schema for the RDF schema. The proposed rules and algorithm are useful for natural mapping and the object modeling of RDF schema can be easily converted into the object-oriented schema, and the formal models supports an efficient environment for retrieving and processing object-oriented documents.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.54-62
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• 2010

Semantic Web programming is such an immature area that it is yet based on API calls, and does not provide high productivity in compiler time and sufficient efficiency in runtime. To get over this limitation, some efforts have been devoted on dedicated programming languages for Semantic Web. In this paper, we introduce a sophisticated cashing technique to enhance the runtime efficiency of RDF (Resource Description Framework) processing programs with SPARQL queries. We use static program analysis on those programs to determine what to be cashed, so as to decrease the cash miss ratio. Our method is implemented on programs in 'Jey' language, which is one of the programming languages devised for RDF data processing.