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Reference knowledge models
for smart applications
Maxime Lefrançois
Maxime.Lefrancois@emse.fr
http://maxime-lefrancois.info/
MINES Saint-Étienne – Institut Henri Fayol
Laboratoire Hubert Curien UMR CNRS 5516
Interoperability required for coordination between services, things, human activities
Interoperability required for 40-60 % of potential value for Internet of Things application
2
Data
Services
HumansSmart things
How to reach semantic interoperability
between heterogeneous things and services?
How to reach semantic interoperability
between heterogeneous things and services?
3
4
How to reach semantic interoperability
between heterogeneous things and services?
- describe the device capabilities and context
- describe the interaction and coordination protocol
- describe the exchanged information
5
How to reach semantic interoperability
between heterogeneous things and services?
- describe the device capabilities and context
- describe the interaction and coordination protocol
- describe the exchanged information
Semantic Web - Ontologies – Knowledge Models
6
https://www.w3.org/TR/rdf11-primer/
Graph-based data models
Knowledge representation (symbolic AI, ontologies)
Identify everything with URIs → Linked data
Encode
RDF as a data model (not a data format)
medium
1 2
Transmit
3
Decode
receiversender
M. Lefrançois, RDF presentation and correct content conveyance for legacy services and the web of things. IOT 2018 7
Still.. need to agree on a common vocabulary
8
https://www.w3.org/TR/rdf11-primer/
URIs for classes, properties, datatypes, individuals ...
Big ontology catalogs exist
9
Big ontology catalogs exist
10
Ontologies have heterogeneities
 In adoption,
 In institutional statuses,
 In structure/content/publication/metadata quality
 In maintenance
 In extensibility
 In availability
What SDOs develop ontologies for the IoT?
11
What SDOs develop ontologies for the IoT?
12
W3C Semantic Sensor Networks ontology
W3C WoT Thing Description
oneM2M base ontology
ETSI SAREF ontologies
ETSI SmartBAN
BuildingSMART ifcOWL
W3C Linked Building Data community group
IEC 61360
Bac.net + Haystack + Brick
KNX ontology
ISO FDIS 21597-1, -2
CLC/TC 205/WG 19 (KoM 8/11)
...
What SDOs develop ontologies for the IoT?
13
W3C Semantic Sensor Networks ontology
W3C WoT Thing Description
oneM2M base ontology
ETSI SAREF ontologies
ETSI SmartBAN
BuildingSMART ifcOWL
W3C Linked Building Data community group
IEC 61360
Bac.net + Haystack + Brick
KNX ontology
ISO FDIS 21597-1, -2
CLC/TC 205/WG 19 (KoM 8/11)
...
Standard Ontologies have heterogeneities
 In adoption,
 In institutional statuses,
 In structure/content/publication/metadata quality
 In maintenance
 In extensibility
 In availability
Risk of the xkcd-927 effect
14
W3C Semantic Sensor Networks ontology
W3C WoT Thing Description
oneM2M base ontology
ETSI SAREF ontologies
ETSI SmartBAN
BuildingSMART ifcOWL
W3C Linked Building Data community group
IEC 61360
Bac.net + Haystack + Brick
KNX ontology
ISO FDIS 21597-1, -2
CLC/TC 205/WG 19 (KoM 8/11)
...
https://xkcd.com/927/
15
Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets,
Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award
A partial picture on initiatives and influences
16
Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets,
Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award
A partial picture on initiatives and influences
The OGC&W3C
Semantic Sensor Networks Ontology
A. Haller, K. Janowicz, S. Cox, D. Le Phuoc, K. Taylor, and M. Lefrançois, Semantic Sensor Network Ontology,
W3C Recommendation, W3C, 19 October 2017 17
The OGC&W3C
Semantic Sensor Networks Ontology
18
The OGC&W3C
Semantic Sensor Networks Ontology
19
First integration in schema.org
20
Google, Microsoft, Yahoo, Yandex, …
Early SSN adopters (as of 2018)
Topics of papers published this year citing SSN
• Smart agriculture (irrigation)
• Smart transportation (sensors generating vehicule signals)
• Smart building (figure below)
• Smart health (Smart homes for seniors)
• Brain-Computer interaction
• GeoScience (earth, meteorology, oceans, events, flooding, ...)
• Smart grids (electric vehicles charging stations)
• Industry of the future
21
22
Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets,
Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award
A partial picture on initiatives and influences
The W3C Web of Things working group
23
The W3C Web of Things working group
24
Thing Description representation (semantic ~ ?) of:
- the Thing,
- the interaction capabilities it exposes
- Properties (observable ?, writable ?)
- Action (an object is generated to monitor, cancel, …)
- Event (type pub/sub)
- how to sollicitate it (URL, media type and in/out datamodel)
Scripting API
- javacript API to search / discover / sollicitate things
WoT Binding Templates
- every interaction type with every protocol or existing standard
ex. OCF light and motion sensor using CoAP on LAN
ex. LWM2M+IPSO environmental sensor from MQTT brokers, LAN and cloud
ex SmartThings Endpoint API using HTTP cloud-to-cloud
25
Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets,
Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award
A partial picture on initiatives and influences
26
ETSI Smart Applications REFerence ontology
SAREF
oneM2M Base Ontology
W3C
OWL Time
Building
EnergyEnvironment
W3C
WGS_84
Ont.
measurements
Industry &
Manufacturing
Smart City Agriculture
W3C
SSN/SOSA
ISA
CPSV
Dublin
Core
OGC
Geo SPARQL
Ont.
measurements
eHealth &
Ageing wellWater AutomotiveWearables
27
ETSI Smart Applications REFerence ontology
28
ETSI STF 556 and 578
29
Our approach in ETSI SmartM2M
The value of an ontology is strongly correlated with the
size of its community of users, and also to the agility of
its developers to improve the ontology and react to
raised issues.
As such, users’ community and industry actors need be
attracted with clear Web documentation and a clear
indication about how to provide their input and the kind
of input that they can provide.
Our approach in ETSI SmartM2M
Improve how SAREF is published
published on members’ institution website
heterogeneous documentation format
Towards continuous integration and deployment
fetch source from git repositories
check quality of the ontologies
notify errors asap
generate documentation and example
modularized and versioned ontology
published as Linked Data
Consolidate the structure of the ontology
One pattern for features of interest and their properties
One pattern for assigning values to properties
One pattern for procedures and procedure executions
One pattern for systems and how they interact
Our approach in ETSI SmartM2M
SAREF4ENVI
core of simple
ontology patternsSAREF4EHAW
SAREF4BLDG
........
SAREF4ENER
© ETSI
2019
32
The ETSI SAREF Portal
STF 556: Consolidation of SAREF and its community of users, based on the
experience of the EUREKA ITEA ‐ 12004 SEAS project (June 2018 – June 2019):
Deliverables published
D1 TR 103 549 Guidelines for consolidating SAREF with new reference ontology
patterns
D2 TS 103 548 SAREF consolidation with new reference ontology patterns, based
on the experience from the EUREKA ITEA SEAS project
D3 TR 103 608 SAREF publication framework reinforcing the engagement of its
community of users
© ETSI
2019
33
The ETSI SAREF Portal
STF 556: Consolidation of SAREF and its community of users, based on the
experience of the EUREKA ITEA ‐ 12004 SEAS project (June 2018 – June 2019):
Deliverables published
D1 TR 103 549 Guidelines for consolidating SAREF with new reference ontology
patterns
D2 TS 103 548 SAREF consolidation with new reference ontology patterns, based
on the experience from the EUREKA ITEA SEAS project
D3 TR 103 608 SAREF publication framework reinforcing the engagement of its
community of users
Draft of the portal:
development of SAREF migrated to the ETSI Forge
37 issues identified in SAREF, resolutions available, being processed
https://forge.etsi.org/rep/SAREF/saref-core/
Proof of concept of the SAREF portal
https://saref.etsi.org/
© ETSI
2019
34
The ETSI SAREF Portal
STF 578: Spec. of the SAREF develop. framework and workflow, and develop. of
the Community SAREF Portal for user engagement. Sept 2019 – Sept 2020:
Planned tasks:
TS 103 673 SAREF Development Framework and Workflow, Streamlining the
Development of SAREF and its Extensions
SW1 Development of the SAREF Portal Content Generation from the SAREF sources,
Enabling Continuous Integration and Deployment of SAREF
SW2 Development of the SAREF Portal Interaction Functionalities, Reinforcing the
Engagement of its Community of Users
SAREF patterns
+ instances
http://saref.etsi.org/
© ETSI
2019
35
Stay tuned
Reference knowledge models
for smart applications
Maxime Lefrançois
Maxime.Lefrancois@emse.fr
http://maxime-lefrancois.info/
MINES Saint-Étienne – Institut Henri Fayol
Laboratoire Hubert Curien UMR CNRS 5516

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Reference Knowledge Models for Smart Application

  • 1. Reference knowledge models for smart applications Maxime Lefrançois Maxime.Lefrancois@emse.fr http://maxime-lefrancois.info/ MINES Saint-Étienne – Institut Henri Fayol Laboratoire Hubert Curien UMR CNRS 5516
  • 2. Interoperability required for coordination between services, things, human activities Interoperability required for 40-60 % of potential value for Internet of Things application 2 Data Services HumansSmart things How to reach semantic interoperability between heterogeneous things and services?
  • 3. How to reach semantic interoperability between heterogeneous things and services? 3
  • 4. 4 How to reach semantic interoperability between heterogeneous things and services? - describe the device capabilities and context - describe the interaction and coordination protocol - describe the exchanged information
  • 5. 5 How to reach semantic interoperability between heterogeneous things and services? - describe the device capabilities and context - describe the interaction and coordination protocol - describe the exchanged information
  • 6. Semantic Web - Ontologies – Knowledge Models 6 https://www.w3.org/TR/rdf11-primer/ Graph-based data models Knowledge representation (symbolic AI, ontologies) Identify everything with URIs → Linked data
  • 7. Encode RDF as a data model (not a data format) medium 1 2 Transmit 3 Decode receiversender M. Lefrançois, RDF presentation and correct content conveyance for legacy services and the web of things. IOT 2018 7
  • 8. Still.. need to agree on a common vocabulary 8 https://www.w3.org/TR/rdf11-primer/ URIs for classes, properties, datatypes, individuals ...
  • 10. Big ontology catalogs exist 10 Ontologies have heterogeneities  In adoption,  In institutional statuses,  In structure/content/publication/metadata quality  In maintenance  In extensibility  In availability
  • 11. What SDOs develop ontologies for the IoT? 11
  • 12. What SDOs develop ontologies for the IoT? 12 W3C Semantic Sensor Networks ontology W3C WoT Thing Description oneM2M base ontology ETSI SAREF ontologies ETSI SmartBAN BuildingSMART ifcOWL W3C Linked Building Data community group IEC 61360 Bac.net + Haystack + Brick KNX ontology ISO FDIS 21597-1, -2 CLC/TC 205/WG 19 (KoM 8/11) ...
  • 13. What SDOs develop ontologies for the IoT? 13 W3C Semantic Sensor Networks ontology W3C WoT Thing Description oneM2M base ontology ETSI SAREF ontologies ETSI SmartBAN BuildingSMART ifcOWL W3C Linked Building Data community group IEC 61360 Bac.net + Haystack + Brick KNX ontology ISO FDIS 21597-1, -2 CLC/TC 205/WG 19 (KoM 8/11) ... Standard Ontologies have heterogeneities  In adoption,  In institutional statuses,  In structure/content/publication/metadata quality  In maintenance  In extensibility  In availability
  • 14. Risk of the xkcd-927 effect 14 W3C Semantic Sensor Networks ontology W3C WoT Thing Description oneM2M base ontology ETSI SAREF ontologies ETSI SmartBAN BuildingSMART ifcOWL W3C Linked Building Data community group IEC 61360 Bac.net + Haystack + Brick KNX ontology ISO FDIS 21597-1, -2 CLC/TC 205/WG 19 (KoM 8/11) ... https://xkcd.com/927/
  • 15. 15 Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets, Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award A partial picture on initiatives and influences
  • 16. 16 Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets, Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award A partial picture on initiatives and influences
  • 17. The OGC&W3C Semantic Sensor Networks Ontology A. Haller, K. Janowicz, S. Cox, D. Le Phuoc, K. Taylor, and M. Lefrançois, Semantic Sensor Network Ontology, W3C Recommendation, W3C, 19 October 2017 17
  • 18. The OGC&W3C Semantic Sensor Networks Ontology 18
  • 19. The OGC&W3C Semantic Sensor Networks Ontology 19
  • 20. First integration in schema.org 20 Google, Microsoft, Yahoo, Yandex, …
  • 21. Early SSN adopters (as of 2018) Topics of papers published this year citing SSN • Smart agriculture (irrigation) • Smart transportation (sensors generating vehicule signals) • Smart building (figure below) • Smart health (Smart homes for seniors) • Brain-Computer interaction • GeoScience (earth, meteorology, oceans, events, flooding, ...) • Smart grids (electric vehicles charging stations) • Industry of the future 21
  • 22. 22 Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets, Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award A partial picture on initiatives and influences
  • 23. The W3C Web of Things working group 23
  • 24. The W3C Web of Things working group 24 Thing Description representation (semantic ~ ?) of: - the Thing, - the interaction capabilities it exposes - Properties (observable ?, writable ?) - Action (an object is generated to monitor, cancel, …) - Event (type pub/sub) - how to sollicitate it (URL, media type and in/out datamodel) Scripting API - javacript API to search / discover / sollicitate things WoT Binding Templates - every interaction type with every protocol or existing standard ex. OCF light and motion sensor using CoAP on LAN ex. LWM2M+IPSO environmental sensor from MQTT brokers, LAN and cloud ex SmartThings Endpoint API using HTTP cloud-to-cloud
  • 25. 25 Nicolas Seydoux, Maxime Lefrançois and Lionel Médini, 2019. Positionnement sur le Web Sémantique des Objets, Journées francophones d'Ingénierie des Connaissances (IC’2019) – best paper award A partial picture on initiatives and influences
  • 26. 26 ETSI Smart Applications REFerence ontology SAREF oneM2M Base Ontology W3C OWL Time Building EnergyEnvironment W3C WGS_84 Ont. measurements Industry & Manufacturing Smart City Agriculture W3C SSN/SOSA ISA CPSV Dublin Core OGC Geo SPARQL Ont. measurements eHealth & Ageing wellWater AutomotiveWearables
  • 27. 27 ETSI Smart Applications REFerence ontology
  • 28. 28 ETSI STF 556 and 578
  • 29. 29 Our approach in ETSI SmartM2M The value of an ontology is strongly correlated with the size of its community of users, and also to the agility of its developers to improve the ontology and react to raised issues. As such, users’ community and industry actors need be attracted with clear Web documentation and a clear indication about how to provide their input and the kind of input that they can provide.
  • 30. Our approach in ETSI SmartM2M Improve how SAREF is published published on members’ institution website heterogeneous documentation format Towards continuous integration and deployment fetch source from git repositories check quality of the ontologies notify errors asap generate documentation and example modularized and versioned ontology published as Linked Data
  • 31. Consolidate the structure of the ontology One pattern for features of interest and their properties One pattern for assigning values to properties One pattern for procedures and procedure executions One pattern for systems and how they interact Our approach in ETSI SmartM2M SAREF4ENVI core of simple ontology patternsSAREF4EHAW SAREF4BLDG ........ SAREF4ENER
  • 32. © ETSI 2019 32 The ETSI SAREF Portal STF 556: Consolidation of SAREF and its community of users, based on the experience of the EUREKA ITEA ‐ 12004 SEAS project (June 2018 – June 2019): Deliverables published D1 TR 103 549 Guidelines for consolidating SAREF with new reference ontology patterns D2 TS 103 548 SAREF consolidation with new reference ontology patterns, based on the experience from the EUREKA ITEA SEAS project D3 TR 103 608 SAREF publication framework reinforcing the engagement of its community of users
  • 33. © ETSI 2019 33 The ETSI SAREF Portal STF 556: Consolidation of SAREF and its community of users, based on the experience of the EUREKA ITEA ‐ 12004 SEAS project (June 2018 – June 2019): Deliverables published D1 TR 103 549 Guidelines for consolidating SAREF with new reference ontology patterns D2 TS 103 548 SAREF consolidation with new reference ontology patterns, based on the experience from the EUREKA ITEA SEAS project D3 TR 103 608 SAREF publication framework reinforcing the engagement of its community of users Draft of the portal: development of SAREF migrated to the ETSI Forge 37 issues identified in SAREF, resolutions available, being processed https://forge.etsi.org/rep/SAREF/saref-core/ Proof of concept of the SAREF portal https://saref.etsi.org/
  • 34. © ETSI 2019 34 The ETSI SAREF Portal STF 578: Spec. of the SAREF develop. framework and workflow, and develop. of the Community SAREF Portal for user engagement. Sept 2019 – Sept 2020: Planned tasks: TS 103 673 SAREF Development Framework and Workflow, Streamlining the Development of SAREF and its Extensions SW1 Development of the SAREF Portal Content Generation from the SAREF sources, Enabling Continuous Integration and Deployment of SAREF SW2 Development of the SAREF Portal Interaction Functionalities, Reinforcing the Engagement of its Community of Users SAREF patterns + instances http://saref.etsi.org/
  • 36. Reference knowledge models for smart applications Maxime Lefrançois Maxime.Lefrancois@emse.fr http://maxime-lefrancois.info/ MINES Saint-Étienne – Institut Henri Fayol Laboratoire Hubert Curien UMR CNRS 5516

Notes de l'éditeur

  1. "Ouverture, décentralisation sont des caractéristiques essentielles de l’industrie du futur dans laquelle l’Internet des Objets, l’Intégration de données et de services sont de plus en plus présents«  "Interopérabilité sémantique est un verrou à lever pour la mise en place d’échanges de données entre acteurs hétérogènes, pour fournir une abstraction des données captées sur laquelle différents raisonnements puissent être mis en place"
  2. "Ouverture, décentralisation sont des caractéristiques essentielles de l’industrie du futur dans laquelle l’Internet des Objets, l’Intégration de données et de services sont de plus en plus présents«  "Interopérabilité sémantique est un verrou à lever pour la mise en place d’échanges de données entre acteurs hétérogènes, pour fournir une abstraction des données captées sur laquelle différents raisonnements puissent être mis en place"