Paper Info
Title
MEMOn: Modular Environmental Monitoring Ontology to link heterogeneous Earth Observed data
Abstract
Earth observation (EO) systems play a significant role in environmental monitoring and the prediction of natural disasters. These systems generate a massive amount of heterogeneous data stored in different formats. The exploitation of this data is still limited while, in most cases, data are not linked, and sources are not interoperable. Hence, data cannot be exploited as an interoperable global knowledge graph to have more in-depth analyzes of environmental phenomena. Ontology, as a knowledge representation formalism, is a promising solution for the semantic interoperability between this data. In this work, we present a modular ontology for environmental monitoring developed based on an original agile methodology. The so-called MEMOn (Modular Environmental Monitoring Ontology) aims to support semantic interoperability, data integration, and linking of heterogeneous data collected through a variety of observation techniques and systems. We also present real use case studies to show the usefulness of the proposed ontology.
Year
DOI
Venue
2020
10.1016/j.envsoft.2019.104581
Environmental Modelling & Software
Keywords
Field
DocType
Modular ontology,Environmental monitoring,Earth observation semantic interoperability data integration,Knowledge graph
Data integration,Data science,Ontology,Knowledge representation and reasoning,Computer science,Interoperability,Semantic interoperability,Earth observation,Modular design,Management science,Environmental monitoring
Journal
Volume
ISSN
Citations 
124
1364-8152
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Maroua Masmoudi100.34
Mohamed Hedi Karray2248.55
Sana Ben Abdallah Ben Lamine322.78
Hajer Baazaoui Zghal47623.99
B. Archimède5126.81