semantic web of things Linked Open vocabularies for internet of things LOVIoT ontologies

1. Reusing and Unifying Background
Knowledge for Internet of Things with
LOV4IoT
FiCloud 22-24 August 2016,Vienna, Austria
Amelie Gyrard, Insight, Ireland
Ghislain Atemezing, Mondeca, France
Christian Bonnet, Eurecom, France
Karima Boudaoud, University of Nice Sophia Antipolis France
Martin Serrano, Insight, Ireland

2. Agenda
• Introduction & Motivation
• Contribution:
 LOV4IoT: Linked Open Vocabularies for Internet of Things
 LOV4IoT RDF dataset to make statistics
 Extracting domain knowledge
• Use Case & Evaluation
• Conclusion & Future work
2

3. Motivation: How to reuse Internet of Things
applications?

4. Motivation: How to reuse domain knowledge already
designed in previous IoT applications?
Classify InteroperabilityCollect
How to exploit the domain knowledge
already available on the Web
and make it interoperable?

5. Basics: Semantic Web Technologies
• Domain knowledge already structured and designed
• Ontologies used to share and reuse the domain
knowledge

6. Descriptions
Tools Feature Pros Cons
LOV - Ontology
catalogue
- More than 469 ontologies
referenced
- Ontologies designed by
semantic web experts
- Not referenced if LOV
recommendations are not
followed
- Semi-automatic
- IoT domain limited
DataHub - Dataset
catalogue
- 9,195 datasets
- Various format accepted
- IoT domain limited
- No quality checked
- Manually
READY4
SmartCities
- Ontology
& dataset
catalogue
- More than 50 projects
referenced
- Manually
LOV4IoT
(previous
version)
- Domain
knowledge
relevant
for IoT
- More than 200 projects
referenced
- Ontologies designed by
domain experts
- Manually
Sindice,
Watson,
Swoogle
- Semantic
Search
engines
- Automatic tools - IoT domain limited
- Project not referenced if
knowledge not available on
the web.
Related Work

7. LOV4IoT:
An extension of the LOV catalogue
7
• LOV4IoT: Linked Open Vocabularies for Internet of Things
(LOV4IoT)
• an extension of the Linked Open Vocabularies (LOV) catalogue
o Numerous ontologies relevant for IoT were not referenced yet due
to a lack of unknown semantic web best practices
• LOV4IoT: a dataset referencing more than 300 ontology-
based projects relevant for IoT
o Ontologies, Datasets, Rules, Technologies, Sensors and
Domains
http://www.sensormeasurement.appspot.com/?p=ontologies

8. LOV4IoT: HTML User interface
8
http://www.sensormeasurement.appspot.com/?p=ontologies
A second life for ontologies!

9. LOV4IoT Web services
JavaDoc (see LOV4IoTWS class)
http://sensormeasurement.appspot.com/javadoc/index.html
• To make statistics on the LOV4IoT dataset
• To make LOV4IoT more automatic

10. LOV4IoT Web services: Automatically compute the
number of projects per domain
Web service called:
http://sensormeasurement.appspot.com/lov4iot/nbOntoD
omain/?domain=BuildingAutomation
Display the result
returned by the web service:

11. LOV4IoT Web services: Automatically compute the number
of ontologies according to the semantic web best practices
Web service called:
http://sensormeasurement.appspot.com/lov4iot/ontoStatu
s/?status=Online
Display the result returned by the web service:

12. LOV4IoT RDF dataset
Use our web service to automatically send email
to encourage domain experts
to share their domain knowledge
=> To replace by the author’s email
=> To replace by the title of the research article
describing ontologies, datasets or rules relevant for IoT
LOV4IoT bot & Web Service

13. Extracting domain knowledge from LOV4IoT
• Extracting a dictionary to unify IoT data
• Extracting IoT domains
• Extracting rules to interpret data
• Extracting knowledge from ontologies and datasets

14. LOV4IoT: Use Cases

15. LOV4IoT Use Case:
Semantic Web of Things (SWoT) Generator
• Assisting developers in designing semantic-based IoT
application by generating a template
Our dictionary classifying sensors

16. 16
Survey: https://goo.gl/iY7J7F
Result: https://goo.gl/mFUPVO
Evaluation

19. Conclusion & Future work
19
• LOV4IoT references more than 300 ontology based IoT
projects in numerous domains
• LOV4IoT encourages the reusability of the domain
knowledge available on the Web.
• Future Work:
Automatically update LOV4IoT
Validator to improve interoperability among existing
ontologies referenced within LOV4IoT

20. Thank you!
• amelie.gyrard@insight-centre.org
• http://sensormeasurement.appspot.com/
• Slideshare
• Twitter
20