Abstract | ||
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The Aquaculture industry, which comprises mainly of SME companies, represents a significant source of protein for people. From an IT perspective, aquaculture is characterized high volumes of heterogeneous data, and also lack of interoperability intra and inter-organisations. Each organization uses different data representations, using its native languages and legacy classification systems to manage and organize information. 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. The work presented here, describes the achievements under AQUASMART EU project, which aims to accelerate innovation in Europeâs aquaculture through technology transfer for the deployment of an open data solution through multilingual data collection and analytics solutions and services, turning the large volumes of heterogeneous aquaculture data that is distributed across the value chain, into an open cloud of semantically interoperable data assets and knowledge. Results achieved so far do not address the final conclusions of the project but form the basis for the formalization of the AQUASMART semantic referential. |
Year | DOI | Venue |
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2015 | 10.5220/0005623803440351 | KEOD |
Field | DocType | Citations |
Ontology engineering,Open data,Data mining,Ontology,Knowledge representation and reasoning,Computer science,Interoperability,Knowledge management,Semantic interoperability,Analytics,Cloud computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pedro Oliveira | 1 | 0 | 0.34 |
Ruben Costa | 2 | 6 | 7.69 |
José Lima | 3 | 1 | 1.73 |
João Sarraipa | 4 | 111 | 21.76 |
Ricardo Jardim-Gonçalves | 5 | 393 | 98.39 |