Ontotext Industry Services

Lowering operational complexity and building bridges between industries

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September 2022

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Nikolay Krustev

Industry Sales Director

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making sense of text and data

Ontotext Introduction

• Leader
• Semantic Technology Vendor Since 2000
• Part of Sirma Group: 400 Person, Listed on the Bulgarian Stock Exchange
• Recently acquired with fresh investment for heavy product development and scale up

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• Profitable and Growing
• Global: clients from 6 continents…still waiting for Antarctica
• Clients: S&P, BBC, FT, Top-5 US Bank, UK Parliament, Fujitsu, Johnson Controls
• Verticals: Financial services, Healthcare and Life sciences, Industry, Publishing, Cultural Heritage

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• Innovator
• Participated in 48 European R&D Projects

Portfolio

Now let’s talk … navigating our lawyer’s NDA’s

Automotive

• Usecases
• Product Range Specification (PRS)
• Enterprise Data Management
• Supply chain monitoring
• Manufacturing process
• Documentation/Manuals/Instructions
• Risk Analysis
• Compliance
• Environment Protection Activities
• Driver Behavior Analysis
• Self-Driving cars
• Road Test Analysis
• ….and many many more!

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Automotive – Example 1 – Cable configuration

• Engineering BOM
• Build a knowledge base of all components used for cable production
• Aware of all valid combinations of engineering factors
• Cable purpose
• Connector types
• Cable and plating materials (thermals, strength, flexibility, etc.)
• Leads to lowering the complexity and optimized the process
• Leads to fewer mistakes at the early stages of designing the cables
• Semantic Costing application
• Dynamically price the design of the cable based on product pricing knowledge base

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Automotive – Example 1 – Cable configuration

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Automotive – Example 1 – Cable configuration

Automotive – Example 2 – Vehicle Configuration

Automotive – Example 2 – Vehicle Configuration

• Modeling of all software components of a vehicle
• Modern cars have dozens of ECU’s each with unique:
• Specific functionality
• Firmware version
• Dependencies
• Compatibility
• Managing this complexity can be painful
• leads to issues wrt to maintainability

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Automotive – Cross industry Semantic Links

• Manufacturing, Industry 4.0
• Smart Cities – managing traffic, pollution regulations
• Building Automation
• Electricity – Smart Grid
• Logistics – parts/product shipping/optimization
• Retail – sales

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Retail

• Usecases
• Product Catalogue
• Semantic Search
• Semantic Vector Search
• Cognitive Search
• Recommendation Engines
• Content based
• Behavior based
• Hybrid
• Global Loyalty Programs
• Enterprise Data Management
• Computer Vision applications

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Retail – Recommender Systems

Retail - Example

• One of the largest retailers in Japan is using GraphDB for cognitive search
• One of the largest UK retailers is working on Product Catalogues with Hybrid recommendation systems
• Top Swedish retailer is using GraphDB for product catalogues and recommendation

Retail – Cross industry Semantic Links

• Electricity – Smart Grid
• Building Automation – Storages, Stores
• Supply Chain Management
• Logistics –product shipping/optimization

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AECO

• Usecases
• Building Information Management (BIM)– spatial information about building constructions but lacks comprehensive information about elements and equipment used.
• Expand on IFC, ifcOWL – linking to additional datasets like materials data, GIS data, product manufacturer data, sensor data, social data, etc.
• Regulation Compliance
• Construction Resource Planning
• Linking with Mapping Agencies and Land Registries
• Building monitoring
• Maintenance
• Security
• Operations – planning, optimizations

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AECO - Examples

• Number of enterprises already are using tools for designing Smart Buildings with SemTech enabled tooling based on recognized standards.
• Linked Building Data – W3C initiative
• Digital Building Logbooks – from planning to decommissioning
• Drone Inspections with drones on bridges – Switzerland
• Road maintenance in Norway
• Spanish construction company – simplify compliance with regulations

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AECO – Cross industry Semantic Links

• Electricity – Smart Grid
• Water – Smart Water
• Building Automation Systems
• Smart Cities

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Building Management Systems

• Usecases
• HVAC
• Lighting
• Elevators
• Power usage/generation
• Security
• Fire Safety
• Flood Prevention
• Waste Management

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Building Management Systems - Examples

BrickSchema.org

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Building Management Systems - Examples

Johnson Controls Metasys

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Schneider Electric EcoStruxure

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Building Management Systems – GraphDB OEM

• GraphDB as OEM in thousands of buildings around the world
• Long term trusted partnerships
• Custom GraphDB builds to accommodate specific deployment scenarios
• OEM level support and regression testing
• Custom licensing model
• Custom licensing mechanism
• Custom licensing scale up

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BMS – Cross industry Semantic Links

• AECO – building/infra data integration
• Electricity – Smart Grid
• Water – Smart Water
• Smart Cities
• Logistics – maintenance/product delivery

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Electricity

• Usecases
• electricity transmission
• electrical distribution
• energy management system
• distribution management system
• Planning
• Optimization
• network model exchanges
• outage management system
• Metering

• Metering
• work management
• geographic information system
• asset management
• customer information systems
• enterprise resource planning
• market operations

Electricity - Examples

• Statnett - Norway
• HOPS - Croatia
• EDF - France
• Demo: Transparency Energy Knowledge Graph (TEKG)

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Electricity – Cross industry Semantic Links

• AECO – Power planning
• BMS – Smart Building - Smart Grid integration
• Water – Smart Water – Hydropower
• Smart Cities

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Water

• Usecases
• Asset Management
• Asset Maintenance
• Demand Management
• Forecasting/Analysis and Mitigation
• Energy production
• Flood protection
• Environment protection
• Quality control / Quality assessment

Water - Examples

• Water Europe
• Water Asset Management in Canada
• Plenty of academic work in the field

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Water – Cross industry Semantic Links

• AECO – Water Management
• BMS – Smart Building - Smart Water integration
• Electricity – Hydropower
• Smart Cities

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Smart City

• Usecases
• Energy Management
• Water Management
• Public Transport Optimization
• Building Regulations
• Parking
• Air Quality
• Citizen Data related
• Healthcare
• Security
• Events
• Municipal Services
• Waste Management

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Smart City - Examples

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Logistics

• Usecases
• Asset Management and Fleet Tracking
• Precise Shipment Tracking
• Verifiable Credentials (blockchain)
• Optimal loading of vehicles
• Space utilization in warehouses
• Reduced time in transit
• Smoother flow of information between actors (manufacturers, shippers, consumers, etc.)

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Supply Chain

• Plenty of standardization leads to simpler semantization
• GS1 Digital Link, GS1 Voc, EPCIS 2, IoT enable:
• Simple data sharing and interoperability between supply chain systems and trading partners
• Standard way of capturing traceability & supply chain data for products
• Interoperability with supply chain hardware (readers, sensors, etc)

Logistics

Supply Chain - Examples

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• the EPCIS Semantics document;
• mappings of EPC/TDS identifiers to GS1 classes, and additions to GS1 class hierarchy;
• improvements to the EPCIS ontology and RDF shapes;
• specific proposals for gs1:CertificationDetails and gs1:MeasurementType;
• meta-properties to enable the generation of “dual” documentation of the JSON model and RDF (ontological) model;
• best practices about publishing ontologies, semantic resolution, and many more.
• Horizon 2020 Planet
• Maritime Administrations around the world
• A couple of large logistics companies

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Supply Chain & Logistics – Cross industry Semantic Links

• Retail
• Manufacturing
• Smart Cities
• AECO

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Manufacturing – Industry 4.0

• Usecases
• Data Integration
• Asset Management
• Equipment Maintenance
• Factory Floor Management & Optimization
• Resource Optimization
• On-time On-demand products and service
• Regulation Compliance
• Reconfiguration of resources
• Process Optimization
• Industrial Safety
• And much more…

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Manufacturing – Standards and organizations

• Standards help, but there are a lot of them, let us help:
• https://www.ontotext.com/knowledgehub/demoservices/i40kg-demonstrator/

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• RAMI, IDSA, BDVA, OPC, Gaia-X, IDTA, EDIH – various organizations push the development
• W3C support – WoT
• Plenty of corporate support: Siemens, GE, ABB, SE, Intel, Toshiba, Honeywell, IBM, Microsoft, PepsiCo….. Just to name a few

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Manufacturing – Examples

• 2 of the biggest auto parts manufacturers leverage GraphDB
• 2 of the biggest automakers
• 5 electronic equipment manufacturer
• 2 of the largest HVAC manufacturers
• Top 3 computer manufacturer

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Manufacturing – Cross industry Semantic Links

• Electricity
• Oil & Gas
• Water
• BMS – Smart Building - Smart Water integration
• Logistics & Supply Chain
• Retail

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Aerospace

• Usecases
• Enterprise Data Management/Data Integration
• Asset Management
• Maintenance
• Manufacturing (all of the previously mentioned)
• Documentation Management
• Mission Planning
• Risk Management

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Aerospace - Examples

• NASA
• 6 of the top-10 Aerospace companies use GraphDB
• DOD
• USAF – Ontotext part of winning consortium $¾ Billion VAULT project

Aerospace – Cross industry Semantic Links

• Electricity
• Oil & Gas
• Water
• BMS – Smart Building - Smart Water integration
• Logistics & Supply Chain
• Retail

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See Ontotext Products:

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GraphDB: https://graphdb.ontotext.com/

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Ontotext Platform: https://platform.ontotext.com/

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Thank you!