Domain Ontology to Support Open Data Analytics for Aquaculture

Pedro Oliveira, Ruben Costa, José Lima, João Sarraipa, Ricardo Jardim-Gonçalves

2015

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.

Paper Citation

in Harvard Style

Oliveira P., Costa R., Lima J., Sarraipa J. and Jardim-Gonçalves R. (2015). Domain Ontology to Support Open Data Analytics for Aquaculture . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 344-351. DOI: 10.5220/0005623803440351

in Bibtex Style

@conference{keod15,
author={Pedro Oliveira and Ruben Costa and José Lima and João Sarraipa and Ricardo Jardim-Gonçalves},
title={Domain Ontology to Support Open Data Analytics for Aquaculture},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={344-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005623803440351},
isbn={978-989-758-158-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - Domain Ontology to Support Open Data Analytics for Aquaculture
SN - 978-989-758-158-8
AU - Oliveira P.
AU - Costa R.
AU - Lima J.
AU - Sarraipa J.
AU - Jardim-Gonçalves R.
PY - 2015
SP - 344
EP - 351
DO - 10.5220/0005623803440351