Design of Data Model for Marine Information Industry based on S-100 Standard

Marine spatial “open” data infrastructures (MSDI) have a significant economic and societal potential for coastal nations and their realization is driven by the evolution of the International Hydrographic Organization’s (IHO) S-100 data model for facilitating marine domain interoperability and the World Wide Web Consortium’s (W3C) best practices for spatial data publishing on the Web. The recent European directive on open data and the re-use of public sector information, known as the “Open Data Directive” is a key driver towards the establishment of “open” MSDIs among other spatial data infrastructures. The paper discusses possible data architectures for the MSDIs, examines the maturity of open data platforms that they could be built upon and compares the most prominent marine spatial data models for their applicability in relation to three marine information domains. MSDIs can facilitate the continuous data capturing of spatial-temporal physical phenomena and human activities at sea and coastal areas, the corresponding data analysis and the decision-making for achieving continual improvement in the marine planning and management processes. MSDIs could play a key role in digital government transformation (DGT) for effective data sharing and offering marine services across various stakeholders. The information provided through a MSDI can be used for safe and efficient operation of maritime traffic, exploration and exploitation of marine resources, marine spatial planning (MSP), integrated coastal zone management (ICZM), environmental protection, and naval and maritime security.

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An Empirical test of influence of corporation control and shareholding on development investment in electronic information industry by panel data model and cross-section data model

Proceedings of the 2013 International Academic Workshop on Social Science (IAW-SC-13) ◽

10.2991/iaw-sc.2013.62 ◽

2013 ◽

Author(s):

Yaozhong Chang

Keyword(s):

Panel Data ◽

Cross Section ◽

Data Model ◽

Empirical Test ◽

Panel Data Model ◽

Information Industry ◽

Cross Section Data ◽

Electronic Information ◽

Section Data ◽

Electronic Information Industry

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Design of Maritime Meteorological Information Data Model Based on S-100

Lecture Notes in Electrical Engineering - Information Science and Applications (ICISA) 2016 ◽

10.1007/978-981-10-0557-2_81 ◽

2016 ◽

pp. 851-859 ◽

Cited By ~ 1

Author(s):

Daseul Oh ◽

Daewon Park ◽

Suhyun Park

Keyword(s):

Data Model ◽

Model Based ◽

S 100

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Development of a Prototype S-100 Data Model

Journal of the Korean Society of Marine Environment and Safety ◽

10.7837/kosomes.2018.24.5.527 ◽

2018 ◽

Vol 24 (5) ◽

pp. 527-536

Author(s):

Namseon Kang ◽

◽

Gumjun Son ◽

Yujun Jeong ◽

Hyejin Kim

Keyword(s):

Data Model ◽

S 100

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Decision Making in Team Sports: Data, model and applied perspective

PsycEXTRA Dataset ◽

10.1037/e509992008-001 ◽

2008 ◽

Author(s):

Pedro J. M. Passos ◽

Duarte Araujo ◽

Keith Davids ◽

Ana Diniz ◽

Luis Gouveia ◽

...

Keyword(s):

Decision Making ◽

Data Model ◽

Team Sports ◽

Sports Data

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Duke, J. A.: Handbook of Edible Weeds. VI, 246 S., 100 Abb. CRC Press, Boca Racon, Ann Arbor, Tokyo, 1992. ISBN 0–8493–4225-2. Preis: Hardcover £ 21

Feddes Repertorium ◽

10.1002/fedr.4921040708 ◽

1993 ◽

Vol 104 (7-8) ◽

pp. 468-468

Author(s):

G. Natho

Keyword(s):

Edible Weeds ◽

Ann Arbor ◽

S 100

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A Qualified Assertion Database for the History of Places

International Journal of Humanities and Arts Computing ◽

10.3366/ijhac.2019.0233 ◽

2019 ◽

Vol 13 (1-2) ◽

pp. 95-115

Author(s):

Brandon Plewe

Keyword(s):

Data Model ◽

Temporal Change ◽

Religious Congregations ◽

Historical Gis ◽

The Past ◽

Model Based ◽

Complex Information ◽

Invaluable Tool ◽

History Of ◽

The Rich

Historical place databases can be an invaluable tool for capturing the rich meaning of past places. However, this richness presents obstacles to success: the daunting need to simultaneously represent complex information such as temporal change, uncertainty, relationships, and thorough sourcing has been an obstacle to historical GIS in the past. The Qualified Assertion Model developed in this paper can represent a variety of historical complexities using a single, simple, flexible data model based on a) documenting assertions of the past world rather than claiming to know the exact truth, and b) qualifying the scope, provenance, quality, and syntactics of those assertions. This model was successfully implemented in a production-strength historical gazetteer of religious congregations, demonstrating its effectiveness and some challenges.

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