• Title/Summary/Keyword: RDF data

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RDF and OWL Storage and Query Processing based on Relational Database (관계형 데이타베이스 기반의 RDF와 OWL의 저장 및 질의처리)

  • Jeong Hoyoung;Kim Jungmin;Jung Junwon;Kim Jongnam;Im Donghyuk;Kim Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.5
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    • pp.451-457
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    • 2005
  • In spite of the development of computers, the present state that a lot of electronic documents are overflowing makes it more difficult for us to get appropriate information. Therefore, it's more important to focus on getting meaningful information than processing the data quickly In this context, Semantic Web enables an intelligent processing by adding semantic metadata on yow web documents. Also, as the Semantic Web grows, the knowledge resources as well as web resources are getting more and more importance. In this paper, we propose an OWL storage system aiming at an intelligent Processing by adding semantic metadata on your web documents, plus a system aiming at an OWL-QL Query Processing.

SPDX Parser and Validator for Software Compliance (소프트웨어 컴플라이언스를 위한 SPDX Parser 및 Validator)

  • Yun, Ho-Yeong;Joe, Yong-Joon;Jung, Byung-Ok;Shin, Dong-Myung
    • 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.

A Study on Structuring Relationships for KDC 6 Relative Index (KDC 6판 상관색인의 관계 구조화)

  • Ahyeon Kim;Ahyeon Kim
    • 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.

Implementation of Policy based In-depth Searching for Identical Entities and Cleansing System in LOD Cloud (LOD 클라우드에서의 연결정책 기반 동일개체 심층검색 및 정제 시스템 구현)

  • Kim, Kwangmin;Sohn, Yonglak
    • 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.

Estimation of Inundation Area by Linking of Rainfall-Duration-Flooding Quantity Relationship Curve with Self-Organizing Map (강우량-지속시간-침수량 관계곡선과 자기조직화 지도의 연계를 통한 범람범위 추정)

  • Kim, Hyun Il;Keum, Ho Jun;Han, Kun Yeun
    • 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.

A Study on the Extension of Archival Information Service Based on Linked Open Data in the Presidential Archives (Linked Open Data기반 대통령기록관 기록정보 서비스 확장에 관한 연구)

  • Lee, Jeong Hyeon;Lee, Youn Yong;Bang, Ki Young;Kim, Yong
    • 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.

Automatic Generation of Machine Readable Context Annotations for SPARQL Results

  • Choi, Ji-Woong
    • 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.

Representation of Process Plant Equipment Using Ontology and ISO 15926 (온톨로지와 ISO 15926을 이용한 공정 플랜트 기자재의 표현)

  • Mun, Du-Hwan;Kim, Byung-Chul;Han, Soon-Hung
    • 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.

Network Resources and Metadata (네트워크자원과 메타데이터)

  • Kim, Tae-Soo
    • 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.

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A Study on Visualization for Large Ontology Data (대용량 온톨로지 데이터의 가시화 연구)

  • Chung, Sung-Moon;Lee, Jeong-Hoon;Han, Wook-Shin
    • Annual Conference of KIPS
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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.