• Title/Summary/Keyword: RDFa

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Enhanced RDFa Tagging Method using XML Editing Tool (XML 편집도구를 이용한 향상된 RDFa 태깅 기법)

  • Choi, Young-Ho;Cha, Seung-Jun;Lee, Kyu-Chul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.155-158
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    • 2010
  • 시맨틱 웹 기술을 활용한 OpenAPI 의미 기반 검색 시스템에서 설명정보페이지에 의미정보를 가진 메타데이터를 첨가하기 위해 RDFa 기술을 이용한 태깅을 하였다. 하지만 태깅 시 사람이 수작업을 통해 입력하기 때문에 시간소모가 크고 오류 위험이 높다는 제약사항이 있다. 이러한 제약사항을 해결하기 위해 본 논문에서는 XML/XHTML 편집도구를 이용한 향상된 RDFa 태깅을 제안한다. 이는 속도향상과 오류 감소의 방법으로 XML/XHTML 편집도구에서 제공하는 자동완성 기능을 제안하고 있다. 그리고 자동완성 기능을 사용하기 위해 DTD를 수정하여 적용하였고 수정된 방법을 테스트한 결과 기존의 수동 태깅 기법보다 걸리는 시간이 단축됐고, 오류를 줄일 수 있음이 확인되었다. 결과를 얻을 수 있었다.

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.

Analyzing Current State of Library Linked Data, Designing an Integrated LLD, and Thoughts on Ways to Expand LLD (도서관 링크데이터(Library Linked Data) 현황분석과 통합 LLD 설계 및 확산방향에 대한 고찰)

  • Oh, Sam-Gyun;Kim, Seong-Hun;Jang, Won-Hong
    • Journal of Korean Library and Information Science Society
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    • v.42 no.4
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    • pp.331-351
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    • 2011
  • This paper analyzes the activities and recommendations of W3C LLD Incubator group and investigates the benefits of Library Link Data through case studies. It also discusses the necessary global identification systems for developing useful LLD as well as the problems associated with linking available vocabularies with existing data sets. Ways to apply RDF, SKOS, Microformats, and RDFa to LLD are presented. the many challenges related to establishing LLD-based information services and the various barriers that prevent libraries from accepting LLD are also identified. Finally this paper presents a new LLD-based digital information system and provides some recommendations on how to promote and expand LLD in Korea.

A Study on Converting the Theological Thesaurus to the Ontology by Using SKOS (SKOS를 이용한 신학 시소러스의 온톨로지로의 변환에 관한 연구)

  • Yoo, Yeong-Jun
    • Journal of Korean Library and Information Science Society
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    • v.43 no.3
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    • pp.143-163
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    • 2012
  • In order to convert a thesaurus described by a person to ontology, the first step is to translate the thesaurus to the ontology by using SKOS, which is suitable for conversion to ontology and was chose an international standard by W3C. SKOS is suitable for converting thesaurus or subject headings or classification system to ontology, but we need a web language to describe an ontology as RDF/XML. RDF/XML is so difficult to read and write that we can need RDFa embedded in HTML document or Turtle, which is more easily describable and readable. Along with description using SKOS, this research has experimentally constructed the ontology by using ontology construction program $Prot{\acute{e}}g{\acute{e}}$ 4.2. In addition to basic concept relationships of thesaurus like equivalent relationship, hierarchical relationships, association relationships transitive hierarchical relationships are included suggested by SKOS in this research.