Quality Ontology for IoT Data Sources

Quality Ontology Working Draft

Working Draft — 27 July 2018

Latest version:

https://w3id.org/iot/qoi (OWL)

Last Update:

Date:

Editors:

Thorben Iggena, Lab for Mobile Communication, University of Applied Sciences Osnabrück

Authors:

Thorben Iggena, Lab for Mobile Communication, University of Applied Sciences Osnabrück

Daniel Kümper, Lab for Mobile Communication, University of Applied Sciences Osnabrück

Contributors:

See acknowledgements

You are granted a license to use, reproduce and create derivative works of this document under Creative Commons Attribution 3.0 Unported License. This copyright applies to Quality Ontology specification and RDF.

Abstract

The Quality Ontology for IoT Data Sources is used to represent the quality of information for iot data sources within the H2020 project IoTCrawler. The data sources are described with the xyz Ontology.

Status of this Document

This is a work in progress and changes may be made. Comments are very welcome, please send them to Editor. Thank you.

Table of Contents

1. Introduction
2. Quality Ontology for IoT Data Sources at a glance
3. Exemplification
4. Cross-reference for Quality Ontology classes and properties

Appendixes

1. Normative References
2. Acknowledgements (Non-Normative)

1. Introduction

The Quality Ontology for IoT Data Sources is part of the IoTCrawler annotation framework. It should be used in combination with... The figure below depicts the workflow with the combination of IoTCrawler's ontologies.

The figure below depicts the Quality Ontology for IoT Data Sources in detail. It illustrates the combination with the ... It allows to annotate Sensors of the SOSA ontology with Quality. The Quality itself has five categories with subcategories to describe the attributes of the annotated data stream regarding its quality.

2. Quality Ontology for IoT Data Sources at a glance

An alphabetical index of Quality Ontology for IoT Data Sources terms, by class (concepts) and by property (relationships, attributes), are given below. All the terms are hyperlinked to their detailed description for quick reference.

3. Exemplification

The following example depicts a quality annotation for an IoT data source...

@prefix qoi: <https://w3id.org/iot/qoi#> .
@prefix om-2: <http://www.ontology-of-units-of-measure.org/resource/om-2/> .
@prefix sosa: <http://www.w3.org/ns/sosa/> .

###  https://w3id.org/iot/qoi
<https://w3id.org/iot/qoi> rdf:type owl:NamedIndividual .


###  https://w3id.org/iot/qoi#testCompleteness
qoi:testCompleteness rdf:type owl:NamedIndividual ,
                              qoi:Completeness ;
                     qoi:hasAbsoluteValue 0.8 .


###  https://w3id.org/iot/qoi#testFrequency
qoi:testFrequency rdf:type owl:NamedIndividual ,
                           qoi:Frequency ;
                  qoi:hasUnitOfMeasurement om-2:second-Time ;
                  qoi:hasAbsoluteValue 0.7 ;
                  qoi:hasRatedValue 0.85 .


###  https://w3id.org/iot/qoi#testPlausibility
qoi:testPlausibility rdf:type owl:NamedIndividual ,
                              qoi:Plausibility ;
                     qoi:hasAbsoluteValue 0.9 .


###  https://w3id.org/iot/qoi#testSensor
qoi:testSensor rdf:type owl:NamedIndividual ,
                        sosa:Sensor ;
               qoi:hasQuality qoi:testCompleteness ,
                              qoi:testFrequency ,
                              qoi:testPlausibility .

    

4. Cross-reference for Quality Ontology for IoT Data Sources classes and properties

A References

Kuemper, D., Iggena, T., Toenjes, R., & Pulvermueller, E., Valid. IoT: a framework for sensor data quality analysis and interpolation. In Proceedings of the 9th ACM Multimedia Systems Conference, (pp. 294-303). ACM, June 2018.

...

B Acknowledgements

This work is part of the H2020 project IoTCrawler at the Lab for Mobile Communication University of Applied Sciences Osnabrück.