Information visualization for the lod services on national R&D data

  • Authors

    • Hanjo Jeong
    • Yong Ki Kim
    • Minwoo Park
    2018-04-03
    https://doi.org/10.14419/ijet.v7i2.12.11100
  • Visualization, Data Browser, Lod, Ontology, National R&D Data

  • Abstract

    Background/Objectives: NTIS (National Science & Technology Information Service) is constructed and operated to provide a comprehensive data-provider service of national R&D data. Thus, NTIS is needed to manage and share the national R&D data in a more open and standardized way.

    Methods/Statistical analysis: This paper presents a lightweight ontology-based LOD service and its visualization interfaces on the national R&D data maintained by NTIS. The lightweight ontology is used to represent the information and the knowledge of the R&D data in terms of the information entities and their simple relationships.

    Findings: The lightweight ontology enables us to process the R&D data in more semantic and efficient ways. For the visualizations, a hierarchical and network-type user interfaces are introduced to represent the NTIS LOD data and allow users to browse the LOD data in a more convenient way. This research also presents the overall system architecture of the NTIS LOD system.

    Improvements/Applications: The hierarchical and network visualization interfaces effectivenessly represent the LOD data, and also allow users to search and browse the LOD data in more convenient and efficient ways.

     

  • References

    1. [1] BIZERC, The emerging web of linked data. Intelligent Systems, IEEE, 2009, 24(5), pp.87-92.

      [2] JEFFERY K, et al., Research information management: the CERIF approach. International Journal of Metadata, Semantics and Ontologies, 2014, 9(1), pp. 5-14.

      [3] BIBO: Bibliographic Ontology, http://bibliontology.com/.

      [4] Dublin Core Metadata Initiative, http://dublincore.org/.

      [5] FOAF: Friend of a Friend, http://xmlns.com/foaf/spec/.

      [6] NTIS: National Science & Technology Information Service,http://www.ntis.go.kr/.

      [7] KrötzschM, OWL 2 Profiles: An introduction to lightweight ontology languages. Reasoning Web. Semantic Technologies for Advanced Query Answering, Springer Berlin Heidelberg, 2012, pp. 112-183.

      [8] RDF: Resource Description Framework, https://www.w3.org/RDF/.

      [9] SPARQL: SPARQL Query Language for RDF, http://www.w3.org/TR/rdf-sparql-query/.

      [10] Pubby: A Linked Data Frontend for SPARQL Endpoints, http://wifo5-03.informatik.uni-mannheim.de/pubby/.

      [11] DBPedia, http://wiki.dbpedia.org/.

      [12] Korean National Bibliography LOD Service, http://lod.nl.go.kr/home/.

      [13] Korean Intellectual Property LOD Service,http://lod.kipo.kr/.

      [14] R2RML: RDB to RDF Mapping Language, https://www.w3.org/TR/r2rml/.

      [15] OWL2 Web Ontology Language, http://www.w3.org/TR/2012/REC-owl2-overview-20121211/.

      [16] NoyN F, et al., Creating semantic web contents with protege-2000. IEEE intelligent systems, 2001, 16(2), pp. 60-71.

      [17] Frasincar F, Alexandru T, Geert-Jan H, Adapting graph visualization techniques for the visualization of RDF data. Visualizing the semantic web, 2006, pp. 154-171.

      [18] BrunettiJ M, Sören A, Roberto G, The linked data visualization model. Proceedings of the 2012th International Conference on Posters & Demonstrations Track-Volume 914,2012, pp. 5-8.Lee JR, Kim SA, Yoo JW & Kang YK (2007), The present status of diabetes education and the role recognition as a diabetes educator of nurses in korea. Diabetes Research and Clinical Practice 77, 199–204.

      [19] McMahon GT, Gomes HE, Hohne SH, Hu TM, Levine BA & Conlin PR (2005), Web-based care management in patients with poorly controlled diabetes. Diabetes Care 28, 1624–1629.

      [20] Thakurdesai PA, Kole PL & Pareek RP (2004), Evaluation of the quality and contents of diabetes mellitus patient education on Internet. Patient Education and Counseling 53, 309–313.

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  • How to Cite

    Jeong, H., Ki Kim, Y., & Park, M. (2018). Information visualization for the lod services on national R&D data. International Journal of Engineering & Technology, 7(2.12), 97-100. https://doi.org/10.14419/ijet.v7i2.12.11100

    Received date: 2018-04-05

    Accepted date: 2018-04-05

    Published date: 2018-04-03