• Journal of Software Assessment and Valuation
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• v.13 no.1
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• pp.15-21
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• 2017

Analyzing a software package which is consisted of big numbers of files takes enormous costs and time. Therefore, SPDX (Software Package Data Exchange) working group collaborate with Linux Foundation published a software information(metadata) specification: SPDX. On the first half of 2017, the specification contains seven chapters and 66 items, according to Ver 2.1 of SPDX spec. It prefers Tag/Value or RDF forms but also supports spreadsheet form. In this paper, we introduce SPDX parsing & validation tools to check the validity of SPDX document. We'll develop SPDX document generator to manage software package more efficiently for our next target.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.3
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• pp.187-207
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• 2024

This study addresses the limitations of the rigid and simplistic relational structure of the KDC 6th edition's relative index by systematically analyzing the relationships between index terms. Based on this analysis, a flexible and detailed model for structuring the relationships within the relative index is proposed. The study categorizes these relationships into hierarchical, associative, and equivalence relationships, further subdividing them to capture the complexity of the interactions. The proposed model is implemented using RDF syntax, suggesting the potential for extending the relative index into linked data. This model not only clarifies the complex relationships between KDC index terms but also contributes to the development of a dynamic and adaptable classification system capable of effectively incorporating new information.

• Journal of Internet Computing and Services
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• v.19 no.3
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• pp.67-77
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• 2018

This paper suggests that LOD establishes its own link policy and publishes it to LOD cloud to provide identity among entities in different LODs. For specifying the link policy, we proposed vocabulary set founded on RDF model as well. We implemented Policy based In-depth Searching and Cleansing(PISC for short) system that proceeds in-depth searching across LODs by referencing the link policies. PISC has been published on Github. LODs have participated voluntarily to LOD cloud so that degree of the entity identity needs to be evaluated. PISC, therefore, evaluates the identities and cleanses the searched entities to confine them to that exceed user's criterion of entity identity level. As for searching results, PISC provides entity's detailed contents which have been collected from diverse LODs and ontology customized to the content. Simulation of PISC has been performed on DBpedia's 5 LODs. We found that similarity of 0.9 of source and target RDF triples' objects provided appropriate expansion ratio and inclusion ratio of searching result. For sufficient identity of searched entities, 3 or more target LODs are required to be specified in link policy.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.839-850
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• 2018

The flood damage in urban areas due to torrential rain is increasing with urbanization. For this reason, accurate and rapid flooding forecasting and expected inundation maps are needed. Predicting the extent of flooding for certain rainfalls is a very important issue in preparing flood in advance. Recently, government agencies are trying to provide expected inundation maps to the public. However, there is a lack of quantifying the extent of inundation caused by a particular rainfall scenario and the real-time prediction method for flood extent within a short time. Therefore the real-time prediction of flood extent is needed based on rainfall-runoff-inundation analysis. One/two dimensional model are continued to analyize drainage network, manhole overflow and inundation propagation by rainfall condition. By applying the various rainfall scenarios considering rainfall duration/distribution and return periods, the inundation volume and depth can be estimated and stored on a database. The Rainfall-Duration-Flooding Quantity (RDF) relationship curve based on the hydraulic analysis results and the Self-Organizing Map (SOM) that conducts unsupervised learning are applied to predict flooded area with particular rainfall condition. The validity of the proposed methodology was examined by comparing the results of the expected flood map with the 2-dimensional hydraulic model. Based on the result of the study, it is judged that this methodology will be useful to provide an unknown flood map according to medium-sized rainfall or frequency scenario. Furthermore, it will be used as a fundamental data for flood forecast by establishing the RDF curve which the relationship of rainfall-outflow-flood is considered and the database of expected inundation maps.

• Journal of Korean Society of Archives and Records Management
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• v.15 no.2
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• pp.55-82
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• 2015

The Presidential Archives preserve and manage the president's records and archives, which accounts for the social and governmental operations during the president's term of office. However, search systems and online contents provided by the Presidential Archives are difficult to use. This study proposed an LOD-based archival information service for the comfort of users. The proposed service has a better extension of archival information service contents from President Roh's term. The provision of details is divided into three steps: first step sets up the establishment methods, second step creates ontological design, and third step converts it to RDF and connects to other institutions. Through the process, this study suggests an extension of archival information service in the Presidential Archives.

• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.1-10
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• 2016

In this paper, we propose an approach to generate machine readable context annotations for SPARQL Results. According to W3C Recommendations, the retrieved data from RDF or OWL data sources are represented in tabular form, in which each cell's data is described by only type and value. The simple query result form is generally useful, but it is not sufficient to explain the semantics of the data in query results. To explain the meaning of the data, appropriate annotations must be added to the query results. In this paper, we generate the annotations from the basic graph patterns in user's queries. We could also manipulate the original queries to complete the annotations. The generated annotations are represented using the RDFa syntax in our study. The RDFa expressions in HTML are machine-understandable. We believe that our work will improve the trustworthiness of query results and contribute to distribute the data to meet the vision of the Semantic Web.

• Korean Journal of Computational Design and Engineering
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• v.14 no.1
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• pp.1-9
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• 2009

ISO 15926 is an international standard for the representation of process plant lifecycle data. However, it is not easy to implement the part 2-data model and the part 4-initial reference data because of their complexity in terms of data structure and shortages of related development toolkits. To overcome this problem, ISO 15926-7(part 7) is under development. ISO 15926-7 specifies implementation methods for sharing and exchange of process plant lifecycle data, which is based on semantic web technologies such as OWL, Web Services, and SPARQL. For the application of ISO 15926-7, this paper discusses how to represent technical specifications of process plant equipment by defining user-defined reference data and object information model with an example of reactor coolant pumps located in the reactor coolant system of an APR 1400 nuclear power plant.

• Journal of Information Management
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• v.30 no.3
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• pp.1-26
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• 1999

Metadata improves discovery of and access to globally distributed network resources. This study is intended to identify and describe the basic data elements of Dublin core metadata and to find interoperability among separate metadata element sets through the architecture of the resource description framework.

• 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.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.456-458
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• 2010

시맨틱 웹은 인간 중심의 데이터 표현을 위한 HTML 기반의 기존 웹과는 달리, 웹에서 데이터의 의미를 표현함으로써 다양한 어플리케이션 간의 데이터 상호 교환을 통한 데이터 통합, 재사용성 증대, 기계에 의한 자동화된 처리를 가능하게 해준다. 온톨로지는 데이터의 의미를 표현하기 위한 방법으로 식별자(URI) 기반의 리소스 명명을 통해 데이터의 의미를 표현하며, Linked Data는 RDF 형식의 데이터 간 링크를 통해 웹 데이터 간의 연계 및 활용할 수 있는 환경을 제공해 준다. 본 연구에서는 용어 정보의 효과적인 공유 및 연계를 위한 방법으로, SKOS 기반 용어 온톨로지 모델링을 통해 용어 정보가 Linked Data에 연계되기 위한 방법을 제시한다.