Smart Buildings with Build2SPARQL Starts New Ages In AI Inquiry

Building automation systems have now been far beyond structural databases. Using ontologies such as Brick and ASHRAE 223P anlamsal information chart, these systems are transformed into a machine-readable infrastructure for artificial intelligence applications. However, this potential had to need new solutions to fully use.

The Build2SPARQL project offered by the research team to fill this cavity:

-: Building operators can now ask simple English questions instead of learning technical SPARQL commands - Integration with Dil agents**: The system makes it possible to search AI agents in information charts without asking questions of operators -** Large scale data set**: The new benchmark data set contains large and various examples to train text-to-SPARQL models

• Ontology compatibility: Support queries compatible with Brick and ASHRAE 223P standards

This technology developed has the potential to revolutionize building management systems. Operators can make many queries with natural language up to having systems of energy use. Thus, technical information-free, a more accessible interface arises.

The success of the Build2SPARQL project shows how well-established changes can be created in real world applications of artificial intelligence.