Title :
Applying Linked Open Data to Green Design
Author :
Kawamura, Takahiro ; Ohsuga, Akihiko
Abstract :
Increasing levels of environmental consciousness have spurred interest in urban agriculture and greening. However, plant cultivation in a limited urban space isn´t necessarily a simple matter. On one hand, a plant that´s not a hardy species might die; on the other, a plant that overgrows could disrupt the balance of vegetation in the surrounding environment. The authors propose an Android application called Green-Thumb Camera, which allows users to search for plants that fit particular environmental conditions from the linked open data (LOD) cloud. Queries are made using smartphone sensor information, and the application then uses augmented reality to overlay an image of the adult plant in the specified space. The authors describe the LOD content generation method and details of the application and then evaluate the accuracy of the LOD data and the application´s usability.
Keywords :
Android (operating system); agriculture; augmented reality; cloud computing; Android application; LOD cloud; LOD content generation method; adult plant; applying linked open data; augmented reality; environmental consciousness; green design; green thumb camera; linked open data; plant cultivation; smartphone sensor information; surrounding environment; urban agriculture; urban greening; urban space; vegetation; Augmented reality; Green computing; Semantic Web; Semantics; Sensors; Web pages; Web services; Semantic Web; augmented reality; green computing; intelligent Web services; intelligent systems; linked data; sensor Web;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2014.74