{"repo":"StreamIntelligenceLab/Kolibrie","free":true,"listed":false,"github":"https://github.com/StreamIntelligenceLab/Kolibrie","clone":"git clone https://github.com/StreamIntelligenceLab/Kolibrie.git","description":"A SPARQL database, RDF Stream Processing Engine and RDF toolkit, supporting Neurosymbolic Stream Reasoning","language":"Rust","stars":56,"topics":["data-analysis","data-science","database","database-design","database-management","gpu","graph","graph-database","knowledge","knowledge-graph"],"license":null,"category":"databases-storage","readme_excerpt":"Kolibrie [English Nederlands Deutsch Español Français 日本語 ] Kolibrie is a high-performance, concurrent, and feature-rich SPARQL query engine implemented in Rust. Designed for scalability and efficiency, it leverages Rust's robust concurrency model and advanced optimizations, including SIMD (Single Instruction, Multiple Data) and parallel processing with Rayon, to handle large-scale RDF (Resource Description Framework) datasets seamlessly. With a comprehensive API, Kolibrie facilitates parsing, storing, and querying RDF data using SPARQL, Turtle, and N3 formats. Its advanced filtering, aggregation, join operations, and sophisticated optimization strategies make it a suitable choice for applications requiring complex semantic data processing. Additionally, the integration of the Volcano Optimizer and Knowledge Graph capabilities empowers users to perform cost-effective query planning and leverage rule-based inference for enhanced data insights. Research Context Kolibrie is developed within the Stream Intelligence Lab at KU Leuven, under the supervision of Prof. Pieter Bonte. The Stream Intelligence Lab focuses on Stream Reasoning , an emerging research field that integrates logic-based techniques from artificial intelligence with data-driven machine learning approaches to derive timely and actionable insights from continuous data streams. Our research emphasizes applications in the Internet of Things (IoT) and Edge processing, enabling real-time decision-making in dynamic envir","default_branch":null,"files":null,"tree":[],"storefront":"/r/StreamIntelligenceLab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/StreamIntelligenceLab/Kolibrie/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}