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Semantic Annotation of Aquaculture Production Data

[+] Author Affiliations
Pedro Amaral, Pedro Oliveira, Daniel Matado, Ruben Costa, João Sarraipa

Universidade Nova de Lisboa, Caparica, Portugal

Márcio Moutinho

Federal University of Western Pará, Pará, Brazil

Paper No. IMECE2016-67316, pp. V002T02A044; 7 pages
doi:10.1115/IMECE2016-67316
From:
  • ASME 2016 International Mechanical Engineering Congress and Exposition
  • Volume 2: Advanced Manufacturing
  • Phoenix, Arizona, USA, November 11–17, 2016
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5052-7
  • Copyright © 2016 by ASME

abstract

Aquaculture is probably the fastest growing food-producing sector in the world producing nearly 50 percent of the fish that is used for food, according to the Food and Agriculture Organization of the United Nations (FAO). With the growing of the Aquaculture sector, problems of global knowledge access, seamless data exchanges and lack of data reuse between aquaculture companies and its related stakeholders become more evident.

From an IT perspective, aquaculture is characterized by high volumes of heterogeneous data, and lack of interoperability intra and inter-organizations. Each organization uses different data representations, using its native languages and legacy classification systems to manage and organize information, leading to a problem of integrating information from different sources due to lack of semantic interoperability that exists among knowledge organization tools used in different information systems.

The lack of semantic interoperability that exists can be minimized, if innovative semantic techniques for representing, indexing and searching sources of non-structured information are applied. To address these issues, authors are developing a platform specifically designed for the aquaculture sector, which will allow even small companies to explore their data and extract knowledge, to improve in terms of use of feed, environmental impact, growth of the fish, cost, etc.

Copyright © 2016 by ASME

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