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Making Sure
IoT Devices
Understand Each Other!
ConnectedWorld 2018
1
40%
Share of value
enabled
by interoperability.
2
The Internet of Things: mapping the value beyond the hype
June 2015
Interoperability
The ability of
machines, devices, sensors,
and people
to connect and communicate
with each other
via the Internet of Things.
3
4
Cross-industry semantic interoperability,
Embedded Computing Design June 29, 2017
Open System
Interconnection
OSI
Levels of Conceptual
Interoperability Model
LCIM
Industrial Internet
Connectivity Framework
IICF
 Exchange raw data (bits, frames, packets, messages).
 Well understood and standardized.
 Agnostic.
 Exchange information (data in context).
 Metadata ontology to interpret meaning .
 Standardization attempts (OMG, IPSO, OCF, etc.)
too narrow for cross-industry.
 Domain expertise required.
 Exchange structured data (states, events, streams).
 Standard formats (XML, JSON, etc.).
 Core connectivity standards (DDS, OPC-UA, etc.).
 Cross-industry via standardized gateways.
Network Layer
Transport Layer
Data Link Layer
Physical Layer
4
5
6
7
Link
Net
work
Transport
Physical
Technical
Interoperability
Application Layer
Session Layer
Presentation Layer
1
2
3
Semantic
Interoperability
Framework
Information
Syntactic
Interoperability
Data Semantics
77.6?
5
What is the data type of sensor point?
What is the unit of measure?
What is measured?
When? And where is sensor „zn3-wwfl4“?
Cross-industry semantic interoperability,
Embedded Computing Design June 29, 2017
Device data inconsistent, non-standard naming conventions, limited descriptors!
Normalization?
6
Cross-industry semantic interoperability,
Embedded Computing Design June 29, 2017
× Standardizing point identifiers
impossible.
× Too much metadata.
× Not extensible. Not changeable.
 Decouple point identifiers from
metadata by association.
 Use domain expertise to build
knowledge base.
 Consistent metadata terminology.
 Use metadata model for mapping.
Normalization? – Metadata Abstraction!
IoT Knowledge System
7
Controlled Vocabulary
Well-defined meaning.
National language support.
Consistency via registration
authority.
Ontology
Classification of concepts.
Associated with metadata terms.
Semantic relationships.
Common Business Ontology
Core Standard.
Top-level for cross-industry
interoperability.
Trusted Application Ontology
Domain knowledge for lower levels.
Created by subject matter experts.
Links classification systems.
Maps between metadata terms.
IoT Knowledge System
8
Controlled Vocabulary
Well-defined meaning.
National language support.
Consistency via registration
authority.
Ontology
Classification of concepts.
Associated with metadata terms.
Semantic relationships.
Common Business Ontology
Core Standard.
Top-level for cross-industry
interoperability.
Trusted Application Ontology
Domain knowledge for lower levels.
Created by subject matter experts.
Links classification systems.
Maps between metadata terms.
Coreon in the IoT Connectivity Architecture
9
Connectivity Core Standards
Corporate
Data
Users
3rd Parties
Endpoints
Semantic
Gateway
Solution &
Implementation
Coreon SaaS
Secure
High Availability
Hosted in Germany
API
RESTful Web API
 JSON
URIs
Services
Consulting
Ontology building
Classification mapping
Multilingual
10
Benefits
100 % IoT value
Cross-industry
interoperable, linked, worldwide
Future-proof
extensible, changeable, mapable
Controlled vocabulary
consistent, defined, global
Corporate knowledge
captured, maintained, trusted
11
Contact
Rungestr. 20 ‐ 10179 Berlin
www.coreon.com
@CoreonApp
michael@coreon.com
12

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Coreon - Making Sure IoT Devices Understand Each Other!

  • 1. Making Sure IoT Devices Understand Each Other! ConnectedWorld 2018 1
  • 2. 40% Share of value enabled by interoperability. 2 The Internet of Things: mapping the value beyond the hype June 2015
  • 3. Interoperability The ability of machines, devices, sensors, and people to connect and communicate with each other via the Internet of Things. 3
  • 4. 4 Cross-industry semantic interoperability, Embedded Computing Design June 29, 2017 Open System Interconnection OSI Levels of Conceptual Interoperability Model LCIM Industrial Internet Connectivity Framework IICF  Exchange raw data (bits, frames, packets, messages).  Well understood and standardized.  Agnostic.  Exchange information (data in context).  Metadata ontology to interpret meaning .  Standardization attempts (OMG, IPSO, OCF, etc.) too narrow for cross-industry.  Domain expertise required.  Exchange structured data (states, events, streams).  Standard formats (XML, JSON, etc.).  Core connectivity standards (DDS, OPC-UA, etc.).  Cross-industry via standardized gateways. Network Layer Transport Layer Data Link Layer Physical Layer 4 5 6 7 Link Net work Transport Physical Technical Interoperability Application Layer Session Layer Presentation Layer 1 2 3 Semantic Interoperability Framework Information Syntactic Interoperability
  • 5. Data Semantics 77.6? 5 What is the data type of sensor point? What is the unit of measure? What is measured? When? And where is sensor „zn3-wwfl4“? Cross-industry semantic interoperability, Embedded Computing Design June 29, 2017 Device data inconsistent, non-standard naming conventions, limited descriptors!
  • 6. Normalization? 6 Cross-industry semantic interoperability, Embedded Computing Design June 29, 2017 × Standardizing point identifiers impossible. × Too much metadata. × Not extensible. Not changeable.  Decouple point identifiers from metadata by association.  Use domain expertise to build knowledge base.  Consistent metadata terminology.  Use metadata model for mapping. Normalization? – Metadata Abstraction!
  • 7. IoT Knowledge System 7 Controlled Vocabulary Well-defined meaning. National language support. Consistency via registration authority. Ontology Classification of concepts. Associated with metadata terms. Semantic relationships. Common Business Ontology Core Standard. Top-level for cross-industry interoperability. Trusted Application Ontology Domain knowledge for lower levels. Created by subject matter experts. Links classification systems. Maps between metadata terms.
  • 8. IoT Knowledge System 8 Controlled Vocabulary Well-defined meaning. National language support. Consistency via registration authority. Ontology Classification of concepts. Associated with metadata terms. Semantic relationships. Common Business Ontology Core Standard. Top-level for cross-industry interoperability. Trusted Application Ontology Domain knowledge for lower levels. Created by subject matter experts. Links classification systems. Maps between metadata terms.
  • 9. Coreon in the IoT Connectivity Architecture 9 Connectivity Core Standards Corporate Data Users 3rd Parties Endpoints Semantic Gateway
  • 10. Solution & Implementation Coreon SaaS Secure High Availability Hosted in Germany API RESTful Web API  JSON URIs Services Consulting Ontology building Classification mapping Multilingual 10
  • 11. Benefits 100 % IoT value Cross-industry interoperable, linked, worldwide Future-proof extensible, changeable, mapable Controlled vocabulary consistent, defined, global Corporate knowledge captured, maintained, trusted 11
  • 12. Contact Rungestr. 20 ‐ 10179 Berlin www.coreon.com @CoreonApp michael@coreon.com 12