With the rapid development of natural resource element change monitoring technology based on remote sensing imagery, improving the accuracy of change polygons and reducing false alarms have become key ...

App Orchid partners with Google Cloud to revolutionize enterprise data access using Gemini AI models and knowledge graphs, ...

By incorporating advanced ontology and knowledge graph enrichment, App Orchid's enterprise text-to-SQL translation accuracy soared to 99.8%. This surpasses the previous benchmark of 91.2% ...

As I wrote last time: Ontology is essentially the use of something called a knowledge graph, which is a series of connections between different disparate data points so that large language models ...

Proven experience in ontology development using BFO and CCO or similar ontological ... Proficiency in Python, SQL, and other programming languages used for data engineering. Experience with graph ...

The extracted attributes contribute to a hierarchical knowledge graph, called defect ontology, to characterize multiple aspects of manufacturing defects. The proposed algorithm takes the defect images ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...