On losing and recovering fisheries and marine science data

Marine Policy ◽  
2005 ◽  
Vol 29 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Dirk Zeller ◽  
Rainer Froese ◽  
Daniel Pauly
Keyword(s):  
2021 ◽  
Vol 6 (62) ◽  
pp. 3282
Author(s):  
Diego Barneche ◽  
Greg Coleman ◽  
Duncan Fermor ◽  
Eduardo Klein ◽  
Tobias Robinson ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6414
Author(s):  
Xiaoyang Song ◽  
Yonggang Guo ◽  
Yongguo Chang ◽  
Fei Zhang ◽  
Junfeng Tan ◽  
...  

With the development of ocean exploration technology and the rapid growth in the amount of marine science observation data, people are faced with a great challenge to identify valuable data from the massive ocean observation data. A recommendation system is an effective method to improve retrieval capabilities to help users obtain valuable data. The two most popular recommendation algorithms are collaborative filtering algorithms and content-based filtering algorithms, which may not work well for marine science observation data given the complexity of data attributes and lack of user information. In this study, an approach was proposed based on data similarity and data correlation. Data similarity was calculated by analyzing the subject, source, spatial, and temporal attributes to obtain the recommendation list. Then, data correlation was calculated based on the literature on marine science data and ranking of the recommendation list to obtain the re-rank recommendation list. The approach was tested by simulated datasets collected from multiple marine data sharing websites, and the result suggested that the proposed method exhibits better effectiveness.


Author(s):  
Adam Leadbetter ◽  
Robert Arko ◽  
Cynthia Chandler ◽  
Adam Shepherd ◽  
Roy Lowry

This chapter focuses on improved access to marine science data, enabling researchers to generate new information and knowledge products. The history of controlled vocabulary developments in marine sciences, from paper publications to the Semantic Web, is explored in detail. This history is being furthered through the publication of Linked Open Data, meaning: the publication of clearly identifiable entities; a simple, universal mechanism for retrieving resources; a generic graph-based data model; and publishing explicit relationships to other resources. Progress towards Linked Open Data for marine science is reported in this chapter. As shown by the Data-Information-Knowledge ecosystem, the approach of “small pieces of data loosely joined” provides presentation and organisation to data, which creates information. The use of query endpoints to integrate this information from multiple locations into a knowledge base, which required active collaboration between cooperative partners to truly generate new knowledge and to address emerging science questions, is described.


Author(s):  
Adam Leadbetter ◽  
Robert Arko ◽  
Cynthia Chandler ◽  
Adam Shepherd ◽  
Roy Lowry

This chapter focuses on improved access to marine science data, enabling researchers to generate new information and knowledge products. The history of controlled vocabulary developments in marine sciences, from paper publications to the Semantic Web, is explored in detail. This history is being furthered through the publication of Linked Open Data, meaning: the publication of clearly identifiable entities; a simple, universal mechanism for retrieving resources; a generic graph-based data model; and publishing explicit relationships to other resources. Progress towards Linked Open Data for marine science is reported in this chapter. As shown by the Data-Information-Knowledge ecosystem, the approach of “small pieces of data loosely joined” provides presentation and organisation to data, which creates information. The use of query endpoints to integrate this information from multiple locations into a knowledge base, which required active collaboration between cooperative partners to truly generate new knowledge and to address emerging science questions, is described.


2020 ◽  
Vol 13 (2) ◽  
pp. 537-553 ◽  
Author(s):  
Adam Leadbetter ◽  
Will Meaney ◽  
Elizabeth Tray ◽  
Andrew Conway ◽  
Sarah Flynn ◽  
...  

2002 ◽  
Vol 36 (1) ◽  
pp. 86-87
Author(s):  
Eric Wolanski

Computer visualization is a powerful and useful technological tool for merging and analyzing complex marine science data. It enables the interaction between physicists, chemists and biologists.


2009 ◽  
Vol 36 (1) ◽  
pp. 4-25 ◽  
Author(s):  
P. G. MOORE

Attention is drawn to the one side remaining of a nineteenth-century correspondence addressed to Alexander Somerville that is housed in the archives of the Scottish Association for Marine Science at Oban, concerning conchological matters. Previously unstudied letters from James Thomas Marshall shed new light on the practicalities of offshore dredging by nineteenth-century naturalists in the Clyde Sea Area; on personalities within conchology; on the controversies that raged among the conchological community about the production of an agreed list of British molluscan species and on the tensions between conchology and malacology. In particular, the criticism of Canon A. E. Norman's ideas regarding taxonomic revision of J. G. Jeffreys's British conchology, as expressed by Marshall, are highlighted.


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