한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제21권5호
  • /
  • Pages.11-18
  • /
  • 2016
  • /
  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
권호 표지
DOI QR코드

DOI QR Code

Linked Legal Data Construction and Connection of LOD Cloud

  • 투고 : 2016.02.03
  • 심사 : 2016.03.30
  • 발행 : 2016.05.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Linked Data is a web standard data definition method devised to connect, expand resources with a standardized type. Linked Data built in various areas expands existing knowledge through an open data cloud like LOD(Linked Open Data). A project to link and service existing knowledge through LOD is under way worldwide. However, LOD project in domestic is being participated in a specific field to the level of research. In this paper, we suggests a method to build the area of technical knowledge like legislations in type of Linked Data, and distribute such Linked Data built to LOD. The construction method suggested by this paper divides knowledge of legislations in structural, semantic, and integrated perspective, and builds each of them by converting to Linked Data according to the perspective. Also, such built Linked Legal Data prepares to link knowledge in a standardized type by distributing them onto LOD. Built Linked Legal Data are equipped with schema for link service in various types, and give help increase understand the access type to existing legal information.

키워드

참고문헌

  1. M. Schmachtenberg, C. Bizer, and H. Paulheim, "Adoption of the Linked Data Best Practices in Dierent Topical Domains," The Semantic Web - ISWC 2014, Springer International Publishing, pp. 245-260, Oct, 2014.
  2. C. Bizer, T. Heath, and T. Berners-Lee. "Linked Data- The Story So Far," Semantic Services, Interoperability and Web Applications: Emerging Concepts, pp. 205-227, 2009.
  3. L. Jens, et al., "DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia," Semantic Web Journal vol. 5, pp. 1-29. 2014.
  4. Y. H. Noh, "A Study on Configuring dCollection as the Linked Data," Journal of Korean Library and Information Science Society, Vol. 43, No. 2, pp. 247-271, Jun, 2012. https://doi.org/10.16981/kliss.43.2.201206.247
  5. S. Y. Yoon, "A Study on National Linking System Implementation based on Linked Data for Public Data," Journal of the Korean Society for Information Management, Vol. 30, No. 1, pp. 259-284, Mar, 2013. https://doi.org/10.3743/KOSIM.2013.30.1.259
  6. N. Casellas, "Linked Legal Data: A SKOS Vocabulary for the Code of Federal Regulations," In SWJ, IOS Press Journal, 2012.
  7. T. Berners-Lee, "Linked Data - Design Issues," https://www.w3.org/DesignIssues/LinkedData.html, Jun, 2009.
  8. J. Y. Park, and Y. L. Sohn, "A Trustworthiness Improving Link Evaluation Technique for LOD considering the Syntactic Properties of RDFS, OWL, and OWL2," Journal of KISS: Databases, Vol. 41, No. 4, pp. 226-241, Aug, 2014.
  9. Datahub, https://datahub.io/.
  10. B. Haslhofer, and A. Isaac. "data. europeana. eu: The Europeana Linked Open Data Pilot," International Conference on Dublin Core and Metadata Applications. pp. 94-104, Sep, 2011.
  11. A. Miles, and S. Bechhofer, "SKOS Simple Knowledge Organization System Reference," W3C Recommendation, Aug, 2009.
  12. J. Kunze, and T. Baker, "The Dublin Core Metadata Element Set," RFC 5013, Aug, 2007.
  13. D. Brickley, L. Miller, "FOAF Vocabulary Specification 0.99," Namespace Document, Jan, 2014.
  14. D. W. Jo and M. H. Kim, "A Study on Legal Ontology Construction," Journal of The Korea Society of Computer and Information, Vol. 19, No. 11, pp. 105-114, Nov, 2014. https://doi.org/10.9708/jksci.2014.19.11.105
  15. M. Zviedris, and G. Barzdins. "ViziQuer: a tool to explore and query SPARQL endpoints." The Semanic Web: Research and Applications. Springer Berlin Heidelberg, pp. 441-445, Jun, 2011.
  16. N. Takhirov, F. Duchateau, and T. Aalberg. "Linking FRBR entities to LOD through Semantic Matching," Research and Advanced Technology for Digital Libraries. Springer Berlin Heidelberg, pp. 284-295, Sep, 2011.
  17. dotNetRDF, http://www.dotnetrdf.org/default.asp.
  18. Jena, https://jena.apache.org/.

피인용 문헌

  1. Implementation of Responsive Web Application for Location-based Semantic Search vol.17, pp.5, 2016, https://doi.org/10.14801/jkiit.2019.17.5.1