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

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

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Motivation: How to reuse Internet of Things applications?

Motivation: How to reuse domain knowledge already designed in previous IoT applications?

Classify Interoperability

Collect

How to exploit the domain knowledge already available on the Web and make it interoperable?

Basics: Semantic Web Technologies

• Domain knowledge already structured and designed

• Ontologies used to share and reuse the domain knowledge

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

LOV4IoT: An extension of the LOV catalogue

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• 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

LOV4IoT: HTML User interface

8 http://www.sensormeasurement.appspot.com/?p=ontologies

A second life for ontologies!

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

LOV4IoT Web services: Automatically compute the number of projects per domain

Web service called: http://sensormeasurement.appspot.com/lov4iot/nbOntoDomain/?domain=BuildingAutomation

Display the result returned by the web service:

LOV4IoT Web services: Automatically compute the number of ontologies according to the semantic web best practices

Web service called: http://sensormeasurement.appspot.com/lov4iot/ontoStatus/?status=Online

Display the result returned by the web service:

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

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

LOV4IoT: Use Cases

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

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

Evaluation

Conclusion & Future work

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• 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

Thank you!

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

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