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S-100 Metadata Conversion Design of the OWL-based Ontology

S-100 메타데이터의 OWL기반 온톨로지 변환 구현

  • Received : 2011.10.28
  • Accepted : 2011.10.28
  • Published : 2011.11.30

Abstract

In the field of maritime transport, various researches on next generation of standards are underway to realize e-navigation. While IHO leading the way, many studies on several S-100 based standards for exchange, sharing and utilizing maritime geographical information and related data are going on. IHO S-100 as a profile of ISO 19100 series of standards. Based on their application and service they provide, there can be different S-10x standards. In order to support the safe operation, various information should be integrated. When integrating a various information, it is crucial to make sure the same data model should be treated consistently and interpreted clearly across different profiles, such as S-101, S-102, etc. in this case. In this paper, I suggested a way to covert maritime metadata of S-100 to ontology so that we can perform consistent semantic analysis and processing of data in S-100 standards, which is the basis of other S-10x standards.

해양 분야에서는 최근 e-navigation 실현을 위한 차세대 표준에 관한 연구가 진행 중이다. IHO(국제수로기구)를 중심으로 전자해도뿐만 아니라 해양의 지리 정보 및 관련 데이터의 교환, 공유, 활용할 수 있도록 S-100기반 다양한 표준에 대한 연구가 진행되고 있다. 다양한 데이터를 통합하여 안전운항을 위한 새로운 정보를 제공하기 위해서는 프로파일링을 통해 S-101, S-102, S-10x 등 다양한 표준 프로파일이 만들어지면 각 표준에서 정의하는 데이터 모델의 요소를 일관성 있고 명확하게 해석하는 것이 필요하다. 본 논문에서는 S-10x 표준의 기반이 되는 S-100 표준을 일관된 의미 해석과 처리를 할 수 있도록 S-100 표준의 메타데이터를 온톨로지로 변환하는 방안을 제시한다.

Keywords

References

  1. IHO S-100 : The Universal Hydrographic Data Model, Robert Ward, Barrie Greenslad
  2. ISO 19115 Geographic Information - Metadata
  3. Development of IHO S-100: The New IHO Geospatial Standard for Hydrographic Data, Lee Alexander, Michael Brown, Barrie Greenslade, Anthony Pharaoh
  4. Toward Principles for the Design of Ontologies Used for Knowledge Sharing, Gruber, T.R.,KSL 93-04, Knowledge Systems Laboratory, Palo Alto, California, 1993.
  5. Formal Ontology and Information Systems, Guarino, N., 1998, In Proceedings of Formal Ontology in Information Systems (FOIS '98)
  6. Geospatial Ontology Trade Study, James Ressler1, Mike Dean, Ontology for the Intelligence Community (OIC-2007), November 28-29, 2007, Columbia, Marylan
  7. Protege (http://protege.standford.edu)
  8. ONTOLOGY BASED SEMANTIC METADATA FOR IMAGERY AND GRIDDED DATA, CHEN Xu*, ZHU Xinyan, DU Daosheng, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B2. Beijing 2008.
  9. ISO/TC 211 N 2705, Report from stage 0 Project 19150 Geographic information-Ontology, 2009-05-15.

Cited by

  1. Multiple-domain marine data utilization structure for e-navigation vol.19, pp.1, 2016, https://doi.org/10.1007/s10586-015-0521-1
  2. Development of a Prototype S-100 Data Model vol.24, pp.5, 2018, https://doi.org/10.7837/kosomes.2018.24.5.527
  3. S-100 표준의 웹 서비스 실험을 위한 해양사고정보의 XML 응용 연구 vol.14, pp.3, 2011, https://doi.org/10.9728/dcs.2013.14.3.391