Different RDF data providers may have differing degrees of normalization in their underlying databases. Some may track many events at a location, with each event recording many occurrences. Others may ...
Abstract: In this paper we address the problem of predicting SPARQL query performance. We use machine learning techniques to learn SPARQL query performance from previously executed queries.
rdflib-endpoint is a SPARQL endpoint based on RDFLib to easily serve RDF files locally, machine learning models, or any other logic implemented in Python via custom SPARQL functions. It aims to enable ...
Abstract: We present a Question Answering system aimed to answer natural language questions over the open RDF spending data provided by LinkedSpeding. We propose an original machine-learning approach ...