research-article

Ontology for semantic representation of marine metadata

Authors:

Hyuk-Chul Kwon,

Suhyun ParkAuthors Info & Claims

ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

Article No.: 66, Pages 1 - 7

https://doi.org/10.1145/2448556.2448622

Published: 17 January 2013 Publication History

Abstract

Metadata provides the information that describes, explains, or makes it easier to retrieve, use, or manage information resources. In the marine field, a metadata model is defined and used for exchange, retrieval, integration, and usage of data, such as hydrographic data. The S-100 of the International Hydrographic Organization (IHO), recently introduced new paradigm for integration and usage of various data on marine safety and the marine environment, also includes a metadata model defined in uniformed modeling language (UML). This model, consisting of entities that describe the main concepts and conceptual structures of metadata, provides for syntactic interoperability between systems. However, semantic heterogeneities as well as difficulties encountered in automatic semantic-based processing remain yet. For the purposes of enhancing semantic interoperability between systems on the S-100-based infrastructure, we herein introduce a new metadata ontology. Analyzing metadata elements in the S-100 metadata model, we removed the syntactic and semantic redundancies of the metadata elements. After conceptualizing and generalizing the metadata elements, we defined ontology elements free of syntactic or semantic redundancy. Additionally, we improved the previous ontology by UML-to-OWL conversion.

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Cited By

Ramayanti D(2019)Initial Ontology-Based Model for Workers Portfolio ResourcesInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT195633(231-236)Online publication date: 5-Dec-2019
https://doi.org/10.32628/CSEIT195633
Park DPark S(2017)Syntactic-level integration and display of multiple domains' S-100-based data for e-navigationCluster Computing10.1007/s10586-017-0754-220:1(721-730)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s10586-017-0754-2
Park DPark S(2016)Multiple-domain marine data utilization structure for e-navigationCluster Computing10.1007/s10586-015-0521-119:1(301-308)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1007/s10586-015-0521-1
Show More Cited By

Index Terms

Ontology for semantic representation of marine metadata
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning

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cover image ACM Conferences

ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

January 2013

772 pages

ISBN:9781450319584

DOI:10.1145/2448556

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing
SKKU: SUNGKYUNKWAN UNIVERSITY

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Publication History

Published: 17 January 2013

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Ministry of Education, Science and Technology

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ICUIMC '13

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SIGAPP
SKKU

ICUIMC '13: The 7th International Conference on Ubiquitous Information Management and Communication

January 17 - 19, 2013

Kota Kinabalu, Malaysia

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Cited By

Ramayanti D(2019)Initial Ontology-Based Model for Workers Portfolio ResourcesInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT195633(231-236)Online publication date: 5-Dec-2019
https://doi.org/10.32628/CSEIT195633
Park DPark S(2017)Syntactic-level integration and display of multiple domains' S-100-based data for e-navigationCluster Computing10.1007/s10586-017-0754-220:1(721-730)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s10586-017-0754-2
Park DPark S(2016)Multiple-domain marine data utilization structure for e-navigationCluster Computing10.1007/s10586-015-0521-119:1(301-308)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1007/s10586-015-0521-1
Gu YCai HJiang LGu YXie CChao K(2015)A Referable Semantic Entity Model for Resource-Oriented Service Management (Invited Paper)Proceedings of the 2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA)10.1109/SOCA.2015.12(78-84)Online publication date: 19-Oct-2015
https://dl.acm.org/doi/10.1109/SOCA.2015.12

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