Using LOT methodology to develop a noise pollution ontology: a Spanish use case

• Published in: Journal of ambient intelligence and humanized computing Vol. 11; no. 11; pp. 4557 - 4568
• Main Authors: Espinoza-Arias, Paola, Poveda-Villalón, María, Corcho, Oscar
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020; Springer Nature B.V
• Subjects: Artificial Intelligence; Cities; Computational Intelligence; Engineering; Environmental impact; Interoperability; Knowledge representation; Noise pollution; Ontology; Open data; Original Research; Outdoor activities; Outdoor air quality; Robotics and Automation; Semantics; Sensors; Software; Subject specialists; User Interfaces and Human Computer Interaction; Ontology; Noise pollution; Open data

Local administrations generate large quantities of data due to the processes followed to attend administrative governance issues and the needs of its citizenry. Sadly, in most cases this data is not fully exploited and remains within the institutions, making their reutilization very difficult. Curre...