Journal
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
Volume 54, Issue -, Pages 423-434Publisher
ELSEVIER
DOI: 10.1016/j.future.2015.04.010
Keywords
Semantic interoperability; Ontology engineering; Knowledge representation; Semantic web
Categories
Funding
- Brazilian Agricultural Research Corporation (Embrapa) from the Ministry of Agriculture, Livestock and Food Supply (MAPA) [01.12.01.001.02.04]
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Agriculture is both highly dependent on water resources, and impacting on these resources. Regardless of advances in the area, the impacts of water scarcity and climatic changes on agriculture, as well as the impacts of agriculture on water resources, remain uncertain. Potentially, collaborative systems can support the management and information sharing of multifaceted and large scale data sources, providing valuable and indispensable information for research. However, these solutions rely on semantic interoperability, the construction of complex knowledge representation models, as well as information recovery. This work describes interoperability issues in the engineering process of the OntoAgroHidro, an ontology that represents knowledge about impacts of agricultural activities and climatic changes on water resources. The paper presents representative scenarios and questions, and discusses the reuse and integration of concepts using knowledge visualization techniques. Experiments on the information recovery scenario point out the potential and limitations of the OntoAgroHidro. (c) 2015 Elsevier B.V. All rights reserved.
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