About: Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies
Creator	Angarita, Rafael Chiky, Raja Cormier, Stéphane Jiang, Shufan Rousseaux, Francis
Source	PMC
abstract	Sustainable agriculture is crucial to society since it aims at supporting the world’s current food needs without compromising future generations. Recent developments in Smart Agriculture and Internet of Things have made possible the collection of unprecedented amounts of agricultural data with the goal of making agricultural processes better and more efficient, and thus supporting sustainable agriculture. These data coming from different types of IoT devices can also be combined with relevant information published in online social networks and on the Web in the form of textual documents. Our objective is to integrate such heterogeneous data into knowledge bases that can support farmers in their activities, and to present global, real-time and comprehensive information to researchers. Semantic technologies and linked data provide a possibility for data integration and for automatic information extraction. This paper aims to give a brief review on the current semantic web technology applications for agricultural corpus, then to discuss the limits and potentials in construction and maintenance of existing ontologies in agricultural domain.
has issue date	2020-04-29(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49165-9_8
has license	no-cc
sha1sum (hex)	b4bd5e0cb208d97268c8f874c98d2152d7542da4
schema:url	https://doi.org/10.1007/978-3-030-49165-9_8
resource representing a document's title	Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies
has PubMed Central identifier	PMC7225512
schema:publication	Advanced Information Systems Engineering Workshops
resource representing a document's body	covid:b4bd5e0cb208d97268c8f874c98d2152d7542da4#body_text
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