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GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies 

Ontotext

This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control. The DEFII framework uses Ontotext’s GraphDB to store and query the ontology-aligned data.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. And that’s not all.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. million users.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

However, although some ontologies or domain models are available in RDF/OWL, many of the original datasets that we have integrated into Ontotext’s Life Sciences and Healthcare Data Inventory are not. Semantic Data Integration With GraphDB. Visual Ontology Modeling With metaphactory.