Automation in point cloud data processing is central for efficient knowledge discovery. In this paper. we propose an instance segmentation framework for indoor buildings datasets. The process is built on an unsupervised segmentation followed by an ontology-based classification reinforced by self-learning. https://foldlyers.shop/product-category/covers/