Ensemble learning for extracting semantics of data in building systems
US11922125B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | May 5, 2023 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | May 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are systems and methods for utilizing ensemble learning methods to extract semantics of data in buildings by retrieving a plurality of data sets from a plurality of data sources associated with an automated environment; labeling a subset of the plurality of data sets by applying Natural Language Processing (NLP) on manufacturer specifications to generate a plurality of labels associated with the subset of the plurality of data sets, respectively; training a learning model on the subset of the plurality of data sets and the plurality of labels; and applying the learning model on remanding subset of the plurality of data sets to generate a semantic map indicative of semantic arrangement of the plurality of data sources associated with the automated environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.