{"repo":"AKSW/LSQ","free":true,"listed":false,"github":"https://github.com/AKSW/LSQ","clone":"git clone https://github.com/AKSW/LSQ.git","description":"Linked SPARQL Queries (LSQ): Framework for RDFizing triple store (web) logs and performing SPARQL query extraction, analysis and benchmarking in order to produce datasets of Linked SPARQL Queries","language":"Java","stars":29,"topics":["semantic-web","sparql","rdf","analytics","benchmarking","queries"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"Linked SPARQL Queries (LSQ) Framework A framework for RDFizing query logs and benchmarking queries and graph patterns. What's New in LSQ V2 2020-08-06 LSQ2 Pre-release LSQ2 introduces significant improvements over the prior version in every aspect: Ease-of-use, flexibility, modularity, consintency in the data model and generated IDs. Pretty CLI (thanks to on picocli) Easier yet more flexible to use: RDFization, static analysis and benchmarking now decoupled Named graph stream approach: Information for each query is grouped in its own named graph which allows easily selecting subsets with complete information for detailed analysis. Documentation Detailed Documentation For detailed documentation about setup, use and concepts of the LSQ command line tool please refer to our LSQ Website. Quick Reference Setup This is a typical maven project and can is thus built with mvn clean install . For Ubuntu/Debian users: The build process creates a .deb package that can be conviently installed after build with ./reinstall-deb.sh (requires root access). Quick Usage A quick reference for the typical process is as follows: The -o option causes the settings to be written to the console. Omit -o to have LSQ auto-generate files. Run with Docker Run example running LSQ to RDFize SPARQL logs, input and output files in the current working directory (replace $(pwd) by ${PWD} for Windows PowerShell): Build the Docker image from the source code: License The source code of this repo is published under ","default_branch":null,"files":null,"tree":[],"storefront":"/r/AKSW","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AKSW/LSQ/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."}