• Journal of the Korean Society for Library and Information Science
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• v.54 no.3
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• pp.165-186
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• 2020

Although BIBFRAME is recognized as a new bibliographic standard that can replace the existing MARC structure, the vastness of the descriptive items shows many limitations to be applied in library communities. Thus this study proposed separating the descriptive levels of BIBFRAME as a way to enhance the applicability of BIBFRAME. The descriptive level of BIBFRAME was divided into three stages: core, standard, and detailed levels based on the bibliographic area of ISBD 2011. This separation was semantically implemented using RDF/RDFS syntax. The levels of description in BIBFRAME was defined as Class Granularity and Class Element, and the Property Relation was defined for the linkage between the Classes defined and the BIBFRAME. By applying this syntactic structure, the relationships between the BIBFRAME descriptive items separated by each descriptive level could be linked with each other. This approach is expected to ensure applicability in the creation and sharing of bibliographic data using BIBFRAME.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.309-310
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• 2012

최근에 웹 온톨로지 언어를 사용한 웹 서비스와 애플리케이션들이 많이 개발됨에 따라 RDF/S를 기반으로 한 온톨로지 문서의 크기가 증가되었고 이로 인해 효율적으로 문서를 저장하고 검색하기위한 시맨틱 웹 정보관리 시스템의 필요가 대두되었다. 본 논문에서는 시맨틱 웹 정보관리 시스템에서 클래스와 프로퍼티의 삭제 알고리즘을 제안한다. 제안한 삭제 알고리즘에서는 클래스나 프로퍼티가 삭제될 때에 이를 반영하여 계층 정보의 스키마 정보가 변경된다.

• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.87-90
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• 2006

The experimental study has been done for two kinds of pelletized RDFs to Investigate the carbonization effect to the chlorine concentrations, the heating value and the yield of Produced char in variable conditions of the carbonizing temperature and reaction time. One(RDF-1) is made of 100% wasted plastics and the other(RDF-2) is made of 60% wasted paper with 40% wasted plastics. The screw type carbonizer heated Indirectly by oil burner was used for the experiment and RDF feeding rate was 3kg/hr. The carbonizing temperature was 300, 350 400 and $45^{\circ}C$ and the reaction tine was 5, 10 and 15 minutes respectively. As the increase of carbonizing reaction time and temperature, the chlorine reduction rate was increased and oppositely the yield of char was decreased At the temperature of $400^{\circ}C$ and reaction time of 10 minutes the chlorine reduction rate was 60% and the char yield rate was 80% for the RDF-1 and those of RDF-2 were 80% and 75%, respectively. Additional activation experiment to the char produced from RDF-2 was done in the activation reactor by hot steam supply. As the increase of activation time the iodine number was increased. At the activation time of 20 minutes the iodine number was 552mg/g and the yield of activated carbon was 16%.

• 한국신재생에너지학회:학술대회논문집
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• 2010.06a
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• pp.207.1-207.1
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• 2010

The emission difference of SOx, NOx, TSP and dioxine was investigated in commercial CFB boiler, when coal and three kinds of RDFs were co-combusted respectively. The each mixing ratio was 7.5% RPF, 7.5% RDF and 10% SDF with coal. Emitting dioxine concentration was proportioned to the chlorine content of RDF. No trouble was found on normal boiler operation during co-combustion. These RPF, SDF and RDF could be determined to be a good alternative fuel of general coal.

• 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.

• Journal of KIISE
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• v.41 no.10
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• pp.762-773
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• 2014

As the web of data is increasingly producing large RDFS datasets, it becomes essential in building scalable reasoning engines over large triples. There have been many researches used expensive distributed framework, such as Hadoop, to reason over large RDFS triples. However, in many cases we are required to handle millions of triples. In such cases, it is not necessary to deploy expensive distributed systems because logic program based reasoners in a single machine can produce similar reasoning performances with that of distributed reasoner using Hadoop. In this paper, we propose a scalable RDFS reasoner using logical programming methods in a single machine and compare our empirical results with that of distributed systems. We show that our logic programming based reasoner using a single machine performs as similar as expensive distributed reasoner does up to 200 million RDFS triples. In addition, we designed a meta data structure by decomposing the ontology triples into separate sectors. Instead of loading all the triples into a single model, we selected an appropriate subset of the triples for each ontology reasoning rule. Unification makes it easy to handle conjunctive queries for RDFS schema reasoning, therefore, we have designed and implemented RDFS axioms using logic programming unifications and efficient conjunctive query handling mechanisms. The throughputs of our approach reached to 166K Triples/sec over LUBM1500 with 200 million triples. It is comparable to that of WebPIE, distributed reasoner using Hadoop and Map Reduce, which performs 185K Triples/sec. We show that it is unnecessary to use the distributed system up to 200 million triples and the performance of logic programming based reasoner in a single machine becomes comparable with that of expensive distributed reasoner which employs Hadoop framework.

• 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.

• 한국신재생에너지학회:학술대회논문집
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• 2008.05a
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• pp.452-455
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• 2008

The co-combustion of coal and three kinds of RDFs(Refuse Plastic Fuel) mixture has been experimented in a commercially operating CFB coal boiler respectively and the pollutant emissions such as SOx, NOx, TSP and dioxine were measured at the stack. The mixing ratio with coal was 7.5% RPF, 7.5% RDF and 10% SDF respectively. During co-combustion, dioxine emission level was very low and SOx, NOx and TSP were decreased comparing the single coal combustion. Emitting dioxine concentration was proportioned to the chlorine content of RDF. These RPF, SDF and RDF could be determined to be a good alternative fuel of general coal.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.573-576
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• 2004

시맨틱 웹에 이용되는 웹 온톨로지 언어들로는 RDF/RDFS, DAML+OIL, OWL 등이 있으며, 현재 W3C에서는 OWL을 웹 온톨로지 표준 언어로 삼고 있다. 기존의 웹 온톨로지 문서들의 파서는 대부분 RDF를 기반으로 한 Triple 모델을 기반으로 하여 파싱한다. 그러나 OWL의 경우는 triple 형태로 변환시키면 OWL Full의 형태를 가지게 되고 OWL 온톨로지의 표현력과 데이터의 손실을 가져오게 된다. 따라서 OWL 문서의 파싱을 위하여 우리는 OWL Abstract Syntax를 이용하여 Tree 모델을 가지는 OWL 파서를 만들고자 한다. 본 논문에서는 시맨틱 웹에서 사용되는 웹 온톨로지들을 파싱하여 온톨로지 객체 모델을 생성해주는 기능을 가지는 온톨로지 파서를 설계, 구현하였다. 논문에서 설계한 온톨로지 파서는 RDF, DAML+OIL, OWL 웹 온톨로지 문서들을 파싱하여 온톨로지 객체 모델을 생성할 때, RDF 온톨로지의 경우는 Triple 모델 형태로 파싱을 하지만, OWL 온톨로지의 경우에는 OWL Abstract Syntax Tree 모델 형태로 파싱한 후, OOM으로 변환시켜준다. 이를 위해 웹 온톨로지 언어의 종류 구분과 OWL 온톨로지의 경우, OWL Full, OWL DL, OWL Lite의 서브 타입을 구별하는 기능도 추가하였다.

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.47-59
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• 2011

Linked Data is about using the web to link related data that wasn't linked previously. To publish linked data, people should be able to represent, share, and link pieces of data, information, and knowledge by using URIs and RDF. However, building linked data is not easy for the common users who do not know the knowledge or skill about using URIs and RDF. In this paper, we present a system that the common users can create linked data by connecting data originated from different RDFs. They build linked data by adding new links to connect between RDF data saved in their computers or searched from Swoogle. We can apply the proposed system to creating educational contents. For example, teachers can develop various learning contents by building linked data that connects different data suited to the learning level of their students.