Connect and model your industry systems & processes for deeper data-driven insights
Improve your technical knowledge management, organize your assets in a connected inventory, develop digital twins, enhance your supply chain management and implement efficient predictive maintenance. We help you optimize your industrial processes to achieve higher quality and greater productivity.
Sectors we benefit:
- Building Automation
How You’ll Benefit
Make your data do more for you by using a dynamic semantic model that changes as your business grows.
Have a 360° view on all your assets under management;
Enable predictive maintenance & maintenance overview;
Comply with industry standards and frameworks such as CIM, ISO 15926, RAMI 4.0, Industry 4.0, BrickSchema.
Address increasing demands from regulators and other stakeholders;
Apply an easy to use semantic search over heterogeneous data.
Building Automation Systems
Improve the tooling and flexibility of the modeling and management of your Building Automation Systems and get a global view over the diverse information managed in these systems.
Electrical Grid Management
Manage critical assets, comply with regulations, and optimize asset performance by creating your SmartGrid digital twin.
Railway Asset Management
Efficiently manage and optimize the performance of railway assets to improve safety, maintenance processes, support economic growth and minimize environmental impact.
Two of the leading BAS manufacturers selected Ontotext GraphDB as the best choice to take advantage of the Brick schema and the semantic graph model.
Transparency Energy Knowledge Graph
A free public demonstrator that integrates a small part of ENTSO-E Transparancy Platform data and enables it’s exploration in a knowledge graph.
A talk by Vladimir Alexiev, Chief Data Architect at Ontotext, presented at the Ontotext Demo Day in May 2022.
A talk by Vladimir Alexiev, Chief Data Architect at Ontotext and Chavdar Ivanov, Managing Director at gridDigIt, presented at the Ontotext and Partners Knowledge Graph Forum in October 2021.
Ontotext’s Chief Data Architect, Vladimir Alexiev demonstrates a simple way to access Industry 4.0 standards using GraphQL through the Ontotext Platform. The talk was presented at Semantics Online 2020.
News, Events & Blog Posts
Research Projects & Other Resources
ACCORD aims to digitalize permitting and compliance processes using NLP over regulatory texts, Building Information Management (BIM) data, CityGML, data dictionaries and other data sources in order to improve the productivity and quality of design and construction processes.
In this white paper, focus on what knowledge graphs are (and what they are not), what problems they solve and why they are the next generation tool for helping enterprises make critical decisions.
Transparency Energy Knowledge Graph (TEKG) project creates a knowledge graph from ENTSO-E Transparency data and, thus, demonstrate the benefits of using Linked Open Data for analytics in the electricity domain.
Classify Oncology Diseases: Espanol (CODE) is a project for AI-driven automatic ICD10 diagnosis coding of oncology medical records in Spanish funded by the European Union’s Horizon 2020 research and innovation programme as an AI4EU Solution for the challenge “Identification of Colon Cancer Risk Factors”
Progress towards Federated Logistics through the Integration of TEN-T into A Global Trade Network (PLANET) addresses the challenges of assessing the impact of emerging global trade corridors on the TEN-T network and ensuring effective integration of the European to the Global Network.