Softwares

Here you will softwares to which I contribute. They are all open sources and available on Github, so if you are interested, feel free to download them and provides feedback!

🧙 SaGe - A SPARQL query engine for public Linked Data providers

SaGe is a SPARQL query engine that supports Web preemption. It is composed of a SPARQL query server and a Smart client. SPARQL queries are suspended by the web server after a fixed quantum of time and resumed upon client request. Using Web preemption, it ensures stable query response time under high load.

The official implementation of the SaGe server is available in Python, while the Smart client is available in Java and in Javascript.

📚 The complete approach and experimental results are available in a Research article accepted at The Web Conference 2019 (available here). Thomas Minier, Hala Skaf-Molli and Pascal Molli. "SaGe: Web Preemption for Public SPARQL Query services" in Proceedings of the 2019 World Wide Web Conference (WWW'19), San Francisco, USA, May 13-17, 2019.

🚂 sparql-engine - An open-source framework for building SPARQL query engines in Javascript/Typescript

sparql-engine is an open-source framework for building SPARQL query engines in Javascript/Typescript.

✅ Main features:

• Build a SPARQL query engine on top of any data storage system.
• Supports the full features of the SPARQL syntax by implementing a single class!
• Support for all SPARQL property Paths.
• Implements advanced SPARQL query rewriting techniques for transparently optimizing SPARQL query processing.
• Supports the SPARQL UPDATE protocol.
• Supports Basic Federated SPARQL queries using SERVICE clauses.
• Customize every step of SPARQL query processing, thanks to a component-based architecture.

🐍 rdflib-hdt - A Python library to load and query HDT documents

rdflib-hdt is a modern Python 3.7 library to load and query HDT documents using the popular RDFlib library.

It supports all features from the original C++ HDT library, adapted to the RDFlib ecosystem:

• Query and load HDT documents using the RDFlib data model.
• Evaluate SPARQL queries over HDT documents.
• Generate and load indexes for efficient access of HDT documents.
• Provides access to various document metadata, e.g., number of triples, subjects, predicates, objects, etc.
• Estimate the cardinality of a given triple pattern.
• Finds all RDF triples matching a given triple pattern, with an iterator-based access for lazy loading.

🍷 bloom-filters - Javascript implementation of probabilistic data structures

bloom-filters is a Javascript implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash.

Supported data-structures

• Classic Bloom Filter
• Partitioned Bloom Filter
• Cuckoo Filter
• Counting Bloom Filter
• Count Min Sketch
• HyperLogLog
• MinHash
• Top-K
• Invertible Bloom Filters

🐹 pyOTTR - Manipulate OTTR Reasonable Ontology Templates in Python

pyOTTR is a Python library to manipulate OTTR Reasonable Ontology Templates, a language with supporting tools for representing and instantiating RDF graph and OWL ontology modeling patterns. It is designed to improve the efficiency and quality of building, using, and maintaining knowledge bases.

✅ Supported features:

• Definition and execution of templates in the stOTTR syntax
• Nesting templates
• Type checking
• Non blank, Optional and default values for template parameters.
• Expansion modes
• RDF and RDFS templates from the OTTR template library are loaded by default.

🔧 In development:

• Support for OWL templates from the template library