FiCloud2016 lov4iot extended
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1) LOV4IoT is an extension of the Linked Open Vocabularies (LOV) catalogue that references over 300 ontology-based Internet of Things projects across numerous domains to encourage reuse of existing domain knowledge. 2) LOV4IoT provides an HTML user interface and web services to automatically compute statistics about the projects in its dataset, such as the number per domain. 3) The goal of LOV4IoT is to extract reusable domain knowledge from the referenced ontologies and datasets, such as a dictionary to unify IoT data and rules to interpret sensor data, to help developers design semantic-based IoT applications.
FiCloud2016 lov4iot extended
- 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
- 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
- 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! • [email protected] • http://sensormeasurement.appspot.com/ • Slideshare • Twitter 20