DeepOnto is a Python package for ontology engineering with deep learning, centered on ontology alignment (BERTMap) and subsumption inference (BERTSubs, OntoLAMA). It wraps the OWLAPI Java library through JPype to load, query, reason over, and prune OWL ontologies, and uses PyTorch/Hugging Face Transformers to train or apply BERT-based classifiers for mapping prediction and refinement. The package exposes config-driven pipelines (BERTMapPipeline, BERTSubs pipelines, OntoLAMA inference) plus evaluation utilities for OAEI-style benchmarks.
BFO-2020 is the official release repository for the Basic Formal Ontology (BFO) 2020, an upper-level ontology for representing entities, continuants, occurrents, processes, and other fundamental categories. The repository contains OWL, Common Logic, and other serializations of the core ontology, plus temporal and atemporal profiles. It is not a software application; it is a knowledge-representation artifact with a software-engineering-style build pipeline. The Makefile drives ROBOT-based reasoning, SPARQL quality checks, and multi-format export, and GitHub Actions runs these checks on every push. This gives the repo a hybrid character: the primary content is formal ontology data, but it is maintained with application-grade CI/CD practices.
Sparnatural is a client-side, web-component-based visual SPARQL query builder. It allows non-technical users to construct complex SPARQL SELECT queries by selecting classes, properties, and values through an interactive criteria tree, with support for AND/OR, OPTIONAL, NOT EXISTS, aggregated variables, and geospatial filters. The system is configurable via SHACL or OWL shape definitions, which define available entities, properties, widgets, and datasources. It integrates with YASGUI for query editing and result display, and provides multiple built-in widget types (list, autocomplete, tree, map, date range, number, boolean, search). The core architecture is a custom HTML element (`<spar-natural>`) with a component-based UI, event-driven state management (ActionStore), and a SPARQL generation pipeline that converts an internal JSON query format to SPARQL algebra using sparqljs. The codebase demonstrates solid engineering with clean interfaces for specification providers and data providers, but carries technical debt from a legacy OWL configuration path, two query JSON formats (v1 and v13), heavy jQuery/DOM manipulation, and limited test coverage outside the SPARQL translator. It is actively maintained and well-documented, but its tight coupling to SPARQL endpoints and large dependency bundle may limit reuse in non-RDF contexts.