The Internet of Things (IoT) market focusing on the development of distributed, interoperable, data-driven and context-aware Web applications and services. Target domains include smart farming, industrial IoT, structural health monitoring, environmental monitoring, cultural heritage and electronic fuel dispensing.
The detection and distribution of events over Knowledge Graphs providing a scalable open model that can be applied in several vertical domains characterized by dynamic, not structured and heterogeneous data.
Semantic data representation improves analytics and sharing capabilities, facilitating relationships and patterns discovery among big data sets.
Cross domain interoperability
Our solution enables interoperability through Semantic Web and Linked Data, offering at the same time discovery and orchestration capabilities for the Web of Things.
We exploit the SPARQL Event Processing Architecture supporting SPARQL 1.1 compliant endpoints as well as the integration of third parties tools to access, visualize, aggregate and analyze big data sets.
Developers can benefit of API for a fast and easy development of multi-cross-domain, distributed, data-driven and interoperable Web applications.
Knowledge graphs, AI, Digital Twin and IoT
Knowledge Graphs technology improves analytics and sharing capabilities of unstructured, heterogeneous and schema-less data, and provides a breeding ground for AI algorithms and techniques.
The detection and distribution of events, combined with the Digital Twin paradigm, make our solution very much suitable for all the domains characterized by dynamic, not structured and heterogeneous data, like the Internet of Things.