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Coreon - Making Sure IoT Devices Understand Each Other!

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The biggest challenge for the IoT is semantic interoperability. The solution is to abstract metadata from sensors and devices by creating an IoT knowledge system.

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Coreon - Making Sure IoT Devices Understand Each Other!

  1. 1. Making Sure IoT Devices Understand Each Other! ConnectedWorld 2018 1
  2. 2. 40% Share of value enabled by interoperability. 2 The Internet of Things: mapping the value beyond the hype June 2015
  3. 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. 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. 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. 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. 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. 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. 9. Coreon in the IoT Connectivity Architecture 9 Connectivity Core Standards Corporate Data Users 3rd Parties Endpoints Semantic Gateway
  10. 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. 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. 12. Contact Rungestr. 20 ‐ 10179 Berlin www.coreon.com @CoreonApp michael@coreon.com 12

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