Authors:
Pedro Oliveira
;
Ruben Costa
;
José Lima
;
João Sarraipa
and
Ricardo Jardim-Gonçalves
Affiliation:
Faculdade de Ciências e Tecnologia, FCT and Universidade Nova de Lisboa, Portugal
Keyword(s):
Ontology Engineering, Knowledge Representation, Multilingual, Education and Training.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Ontology
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Symbolic Systems
Abstract:
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 Europe’s
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.
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