Paper Info
Title
An ontology design pattern for IoT device tagging systems
Abstract
Modeling devices has become a crucial task in the Internet of Things (IoT) and Semantic Web technologies are seen as a promising tool for this purpose. However, as it may be arduous to manipulate semantic models, industrial solutions often re-define non-standard, simplified semantics. This is the case with Project Haystack, a framework to tag devices with labels from a predefined vocabulary in the field of Building Automation. In order to make Project Haystack standard and fully semantic, we wrapped its vocabulary in an ontology. In this paper, we present the general structure of this ontology, along with a method to turn tag sets into a Semantic Web model and back. The whole results in a reusable ontology design pattern. We aligned our Haystack tagging ontology with the wide-spreaded Semantic Sensor Network upper ontology and we designed a configuration environment for Building Automation systems based on semantic data to illustrate, so as to discuss the added-value of semantics in automation.
Year
DOI
Venue
2015
10.1109/IOT.2015.7356558
2015 5th International Conference on the Internet of Things (IOT)
Keywords
Field
DocType
IoT device tagging systems,Internet of Things,semantic Web technologies,semantic models,Project Haystack,tag sets,semantic Web model,reusable ontology design pattern,Haystack tagging ontology,semantic sensor network,building automation systems
Ontology (information science),Ontology-based data integration,Haystack,Information retrieval,Semantic Web Stack,Computer science,Open Biomedical Ontologies,Ontology Inference Layer,OWL-S,Upper ontology
Conference
ISBN
Citations 
PageRank 
978-1-4673-8056-0
5
0.47
References 
Authors
18
4
Name
Order
Citations
PageRank
Victor Charpenay150.47
Käbisch, S.2557.07
Darko Anicic343731.28
Harald Kosch4775116.64