• Title/Summary/Keyword: Apache Jena

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A Study on the Procedure for Constructing Linked Open Data of Records Information by Using Open Source Tool (오픈소스 도구를 이용한 기록정보 링크드 오픈 데이터 구축 절차 연구)

  • Ha, Seung Rok;Yim, Jin Hee;Rieh, Hae-young
    • Journal of the Korean Society for information Management
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    • v.34 no.1
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    • pp.341-371
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    • 2017
  • Recently, the web service environment has changed from document-centered to data-oriented focus, and the Linked Open Data (LOD) exists at the core of the new environment. Specific procedures and methods were examined to build the LOD of records information in accordance with this trend. With the service sustainability of small-scale archive in consideration, an exemplification on LOD building process by utilizing open source software was developed in this paper. To this end, a 5-step service framework for LOD construction was proposed and applied to a collection of diary records from 'Human and Memory Archive'. Proof of Concept (POC) utilizing open source softwares, Protege and Apache Jena Fuseki, was conducted according to the proposed 5 step framework. After establishing the LOD of record information by utilizing the open source software, the connection with external LOD through interlinking and SPARQL search has been successfully performed. In addition, archives' considerations for LOD construction, including improvement on the quality of content information, the role of the archivist, were suggested based on the understanding obtained through the LOD construction process of records information.

Semantic Image Annotation using Inference in Mobile Environments (모바일 환경에서 추론을 이용한 의미 기반 이미지 어노테이션 시스템 설계 및 구현)

  • Seo, Kwang-won;Im, Dong-Hyuk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.999-1000
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    • 2017
  • 본 논문에서는 이전의 의미 기반 이미지 어노테이션 및 검색 시스템 Moment(Mobile Semantic Image Annotation and Retrieval System)에 RDF(Resource Description Framework) 추론 기능을 사용한 어노테이션 방법을 제안한다. 이를 위하여 제안된 시스템은 Apache Jena Inference API를 통해 구현되였으며 각 이미지들이 가진 어노테이션의 개수가 증가되었다. 자동으로 추론된 결과 또한 SPARQL 질의를 통해 검색이 가능하며, 기존 어노테이션 결과에 대한 의미 검색을 더욱 효과적으로 할 수 있게 한다.