Semantic Web of Things
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1 Semantic Web of Things Le Web Sémantique rencontre l'internet des Objets et le Web des Objets Monday 3 July 2017, Caen, France in conjunction with 28e Journées francophones d'ingénierie des Connaissances (IC 2017) July , Caen, France Dr. Amélie Gyrard
2 Agenda Agenda Introduction & Motivation Semantic Web technologies applied to Internet of Things (IoT) M3: Semantic interoperability for data and applications Use Cases: SEG 3.0 Methodology for FIESTA-IoT EU H2020 Android-powered devices Standardizations: OneM2M, W3C Web of Things Demos & hands-on session Conclusion & Future work 2
3 How to Interpret Internet of Things (IoT) Data? Sensor data Thermometer Interpretation by humans How machines can interpret data? Applications to visualize data Machine learning? Reusing domain knowledge? 3
4 Interoperability on data to build innovative interoperable applications? 4
5 Taking Inspiration From the Web & Semantic Web to Describe Data and Get Additional Information Automatically built by machines
6 Why Do We Use Semantic Web Technologies Within Internet of Things? - Machine-understandable data - Describe data with common vocabularies - Reuse domain knowledge - Link to other data - Ease the reasoning Global interoperability How to provide a common description of sensor data to later reason on it? Common description Device Abstraction Common App. Protocol Common Nwk. Protocol Semantic Web of Things: an analysis of the application semantics for the IoT moving towards the IoT convergence [Jara et al. 2014] 6
7 Main challenges to address: 1. How to deduce meaningful information from sensor data? 2. How to combine applicative domains to build smarter applications? 3. How to make IoT application development easy? 4. How to reduce the learning curve for integrating semantic web technologies within IoT/WoT? 5. How to help developers design interoperable IoT applications? 7
8 Our Proposed Solution: Web frameworks + 1. Take inspiration and reusing tools designed by the semantic web community. 2. Take inspiration from web frameworks to easily to build IoT application templates 8 Easy development of IoT applications Reducing the learning curve of integrating semantic web technologies
9 Mindmap /10/2014
10 M3 framework for Semantic Interoperability for IoT Data and Applications - Demo 10
11 11 Reusing Domain Knowledge with LOV4IoT => Classification by domains A second life for ontologies!
12 12 Reusing Domain Knowledge with LOV4IoT A second life for ontologies! => Classification according semantic web best practices
13 Sensor-based Linked Open Rules (S-LOR) A dataset of rules to interpret IoT data A subset of rules can be selected according to specific sensors, applicative domains, etc. Domain knowledge extracted from Linked Open Vocabularies for Internet of Things (LOV4IoT) Reusing domain knowledge Sharing and reusing-based approach Increasing interoperability Reducing development time of IoT applications 13
14 SLOR Rule Discovery GUI - Demo V1 Classification of sensors (M3 ontology) URL of the rule to get the implementation Demo online: 14
15 SWoT generator to design applications Benefits: No need to learn semantic web technologies Interoperable applications * Interoperable semantic-based IoT applications * Domain where is deployed the sensor, not the applicative domain 15
16 Designing an application Provide sensor data Domain ontologies IoT Application Produce Interoperable Domain datasets Unified IoT data Rules SWoT template - Need to have the set of files generated in the template compatible with sensor data Ontologies + datasets + rules + sensor data Domain knowledge structured in the same way 16
17 Demo: SWoT Generator Generating a template to design a Semantic Web of Things application by reusing domain knowledge Sensor Discovery Rule Mechanism Employed to get rules 17
18 Demo Generating a template to design a Semantic Web of Things application by reusing domain knowledge 18
19 Demo Template used to build this application: => Interoperable domain knowledge is used to interpret IoT data 19
20 M3 Semantic Engine - An Entire Chain to Interpret IoT data and Build Cross-Domain Applications Paper: Enrich Machine-to-Machine Data with Semantic Web Technologies for Cross-Domain Applications [Gyrard et al., WF-IoT 2014] 20
21 PerfectO: A Set of Catalogues to Reference and Classify Existing Tools 21 23/10/2014
22 Use Case: M3 embedded in Android-powered devices 22
23 Use Case: FIESTA-IoT H2020 EU Project
24 Semantic Web of Things Tutorial: Hands-on 24
25 Conclusion & Future work Applying Semantic Web technologies within Internet of Things: Reusing domain knowledge Interpreting data Designing interoperable applications Cross-domain Reducing the learning curve of integrating semantic web technologies M3: Used within FIESTA-IoT EU H2020 project Interoperability of data and applications Dissemination within standardizations: OneM2M, W3C Web of Things 25
26 Future Work: Energy domain SEAS & ENGIE Reusing domain knowledge in the energy domain Compliant with the SEAS ontologies Semantic Interoperability Working Group White paper referencing our work V2 ongoing W3C WoT White paper: W3C WoT implementation list: 26
27 Future Work: OpenSensingCity OpenSensingCity ANR project Linked Data Smart Cities in France Hackaton organized in April
28 Thank You! - amelie.gyrard@emse.fr - Semantic Web of Things & M3: - Google Group: semantic-web-of-things - Slideshare:
29 Acknowledgments 29 23/10/2014
30 30 23/10/2014
31 SEG 3.0 Methodology for Building Applications Ensuring Semantic Interoperability from Data Providers to Data Consumers Papers: Connected Smart Cities: Interoperability with SEG 3.0 for the Internet of Things, 31 Building the Web of Knowledge with smart IoT applications [Gyrard et al., 2016]
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