Towards the Integration of Agricultural Data From Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies
| Autor: | Raja Chiky, Shufan Jiang, Stephane Cormier, Francis Rousseaux, Rafael Angarita |
|---|---|
| Přispěvatelé: | Institut Supérieur d'Electronique de Paris (ISEP), Université de Reims Champagne-Ardenne (URCA), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Context (language use) 02 engineering and technology Ontology (information science) computer.software_genre Article [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] 12. Responsible consumption Sustainable agriculture 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] Semantic Web 2. Zero hunger [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] Ontology [INFO.INFO-WB]Computer Science [cs]/Web Smart agriculture 04 agricultural and veterinary sciences Linked data Data science Internet of Things (IoT) Semantics Information extraction [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR] 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Semantic technology 020201 artificial intelligence & image processing Data integration computer |
| Zdroj: | Advanced Information Systems Engineering Workshops (CAiSE) Advanced Information Systems Engineering Workshops (CAiSE), 2020, Grenoble, France. ⟨10.1007/978-3-030-49165-9_8⟩ Advanced Information Systems Engineering Workshops Lecture Notes in Business Information Processing ISBN: 9783030491642 CAiSE Workshops |
| DOI: | 10.1007/978-3-030-49165-9_8⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|