Paper Info
Title
End User Development in the IoT: A Semantic Approach
Abstract
The Internet of Things (IoT) is, nowadays, a well recognized paradigm. In this field, End User Development (EUD) is a promising approach that allows users to program their devices and services. The representation models adopted by contemporary EUD interfaces, however, are often highly technology-dependent, and the interaction between users and the IoT ecosystem is put to a hard test. The goal of my research is to explore new approaches and tools for helping end-users to program their technological devices and services. For this purpose, I proposed EUPont, an ontological model able to represent abstract and technology independent trigger-action rules, that can be adapted to different contextual situations. EUPont has been evaluated in terms of understandability, completeness, and usefulness. Currently, I am using the semantic features of the model in different research projects, e.g., to optimize the layout of EUD interfaces, and to design a recommender system of trigger-action rules. Preliminary results are promising, and confirm the benefit of using the semantic information of EUPont for helping end-users to better deal with the forthcoming IoT world.
Year
DOI
Venue
2018
10.1109/IE.2018.00026
2018 14th International Conference on Intelligent Environments (IE)
Keywords
Field
DocType
Internet of Things,End-User Development,Trigger-Action Programming,Semantic Web
Recommender system,Ontology,Computer science,Internet of Things,Semantic Web,Semantic information,End-user development,Human–computer interaction,Completeness (statistics),Semantics
Conference
ISSN
ISBN
Citations 
2469-8792
978-1-5386-6845-0
0
PageRank 
References 
Authors
0.34
9
1
Name
Order
Citations
PageRank
Alberto Monge Roffarello1248.96