In this feature, we answer questions from our GraphDB users. Today's question is about if GraphDB supports ABAC.
Johnson Controls selected Ontotext’s GraphDB to provide semantic data creation and management for their Metasys system – a Top-5 Integrated Building Management System.
Johnson Controls Building Technologies & Solutions is making the world safer, smarter and more sustainable – one building at a time. Their technology portfolio integrates every aspect of a building – whether security systems, energy management, fire protection or heating, ventilation, and air conditioning (HVAC) – to ensure that they exceed customer expectations at all times. Johnson Controls Building Technologies & Solutions operate in more than 150 countries through an unmatched network of branches and distribution channels, helping building owners, operators, engineers and contractors enhance the full lifecycle of any facility.
The latest Metasys release enhances team productivity, reduces risk, and increases building efficiency. It was designed to help identify and solve issues and prevent unauthorized access. It provides a flexible modernization path to existing Metasys customers with aging installations.
Metasys 11.0 features and enhancements include the all-new Fault Detection and Fault Triage suite, new models of the next-generation hardware like the new SNC supervisory controller with onboard display, and cybersecurity enhancements to help prevent unauthorized access, like FIPS 140-2 Level 1 Compliance.
“We are happy to see the official launch of Metasys 11, which integrates GraphDB. It’s fascinating to see that our technology contributes to the improvement of efficiency and comfort of thousands of buildings all over the globe. During the last couple of years, we see booming adoption of semantic graph databases in manufacturing and industry. The typical applications include configuration management, IT inventory, process automation and technical knowledge management. Many of the leaders in this space already use GraphDB to manage big volumes of business-critical information in production – all the way from the biggest car and airplane manufacturers to NASA and national energy system operators.”
said Atanas Kiryakov, CEO of Ontotext.
Download GraphDB if you want to make your building automation systems smarter!
Article's content
Milen Yankulov
Marketing Manager at Ontotext
Reflections on the Knowledge Graph Conference 2023
Read Milen Yankulov’s impressions from the conference, Ontotext positioning, the role of ML, AI & LLM in the graph space and more
Ontotext’s Top 5 Most Popular Blog Posts for 2020
Read about another busy year at Ontotext in our traditional round-up of the most popular blog posts we have published throughout 2020.
Johnson Controls Selects Ontotext’s GraphDB for the New Version of Metasys Building Automation System
Johnson Controls selected GraphDB to provide semantic data creation and management for their Metasys system – a Top-5 Integrated Building Management System.
The Importance of FAIR Data Principles in Healthcare & Life Sciences
Read about FAIR data principles – a relatively new concept for data discoverability and management that has quickly gained traction among the scientific data community and policymakers.
Boosting Cybersecurity Efficiency with Knowledge Graphs
Read about how a live knowledge graph helped a cybersecurity and defense company easily integrate new data sources and efficiently navigate their dynamically updated information.
Computer Vision Technology for Boosting Retailers’ Marketing & Product Management
Read about how Ontotext’s customer demographic analysis solution, based on computer vision, helps retailers track and analyze customer traffic and behavior in stores.
Knowledge Graph Conference 2020 Recap: Knowledge Graphs Are Getting Into the Limelight
Read about KGC 2020 and how knowledge graphs-based technologies continue to advance into mainstream enterprise operations.
GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs
Read about COVID-19 related research projects, which are currently using Ontotext’s GraphDB.
Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
Read about the thriving community GraphDB has generated over the years and the insights and experience they share in many blog posts and tutorials.
Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications
Read our article about Ontotext Platform, originally published in a special report “Empowering Machine Learning with Knowledge Graphs” by DBTA magazine.
How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search
Read about how semantic similarity search helps Pharma companies efficiently process and answer large volumes of Regulatory Authorities’ questions.
How Computer Vision Technology Can Bring Smart Surveillance to Retail
Read about how Computer Vision technology can provide efficient face recognition to identify known and potential offenders in retail stores.
Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph
Read about the EU-funded project euBusinessGraph aiming to compile, integrate and analyze business data from various public and private sources.
Ontotext’s Most Popular Blog Posts for 2019
Read about another busy and exciting year at Ontotext in our traditional countdown of the most popular blog posts we have published in 2019.
Semantic Technology and the Strive for Drug Safety
Learn about Ontotext’s solution for tracking and collecting drug safety data, based on text analysis and knowledge graph technology.
Semantic Technology-based Media Publishing Boosts User Engagement
Read about how the more media publishers know about how users consume their content, the more relevant their content and ad recommendations will be.
Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier
Learn how knowledge graphs help discovering novel therapies by identifying new patterns and discovering previously unknown links between drugs and potential treatments.
Smart Negative News Monitoring Makes Banks’ KYC Process More Efficient
Read about how knowledge graph-based negative news monitoring, as part of a smart KYC process, provides a fully automated workflow for financial institutions and helps them comply with existing regulations and avoid reputational risk.
Semantic Search for Smart Data Discovery in the Pharma Industry
Read about how Ontotext’s smart semantic search solution enables users to easily find relevant information across huge volumes of siloed data-sources and get better knowledge insights from more efficient data management and discovery.
Top 5 Technology Trends to Track in 2019
Ontotext’s review of the top 5 technology trends as we expect to continue making their mark on the way companies gain faster and better insights.
Ontotext’s Top Webinars for 2018
Read on to see how Ontotext’s top webinars for 2018 helped businesses with knowledge discovery thanks to graph analytics and AI-powered services.
Ontotext’s Most Fascinating Blog Posts for 2018
Read about another busy and exciting year at Ontotext in our traditional round-up of the most fascinating blog posts we have published throughout 2018.
Ontotext’s GraphDB Powers UK Parliament’s New Data Service
Read about UK Parliament’s new data service and how it modernizes the way it consumes and shares data.
Q&As from Our Webinar: Graph Analytics on Company Data and News
Read some Q&As from our webinar: Graph Analytics on Company Data and News, presented by Atanas Kiryakov, CEO of Ontotext.
Top 5 Semantic Technology Trends to Track in 2018
As we are going into 2018, here is Ontotext’s list of the top 5 semantic technology trends to keep an eye on.
Your Favorite Ontotext Blog Posts for 2017
As we roll into the New Year 2018, our readability count distilled the following 5 favorite posts for 2017.
