GithubHelp home page GithubHelp logo

aksw / hibiscus Goto Github PK

View Code? Open in Web Editor NEW
4.0 4.0 2.0 21.06 MB

HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation

License: GNU General Public License v3.0

HTML 82.17% JavaScript 0.12% CSS 1.81% Java 15.91%
query-federation sparql knowledge-graph federation-engine hibiscus linked-data

hibiscus's Introduction

HiBISCuS

HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation

Source Code

The HiBISCuS source code along with all of the 3 extensions (SPLENDID, FedX, DARQ) can be checkout from project website https://github.com/AKSW/HiBISCuS/

FedBench

FedBench queries can be downloaded from project website https://code.google.com/p/fbench/

Datasets Availability

All the datasets and corresponding virtuoso SPARQL endpoints can be downloaded from the project old website https://code.google.com/p/hibiscusfederation/.

Usage Information

In the following we explain how one can setup the BigRDFBench evaluation framework and measure the performance of the federation engine.

SPARQL Endpoints Setup

The first step is to download the SPARQL endpoints (portable Virtuoso SAPRQL endpoints from second table above) on different machines, i.e., computers. Best would be one SPARQL endpoint per machine. Therefore, you need a total of 13 machines. However, you can start more than one SPARQL endpoints per machine. The next step is to start the SPARQL endpoint from bin/start.bat (for windows) or bin/start_virtuoso.sh (for Linux). Make a list of the all SPARQL endpoints URL's ( required as input for index-free SPARQL query federation engines, i.e., FedX). It is important to note that index-assisted federation engines (e.g., SPLENDID, DARQ, ANAPSID) usually stores the endpoint URL's in its index. The local SPARQL endpoints URL's are given above in second table. Running SPARQL Queries Provides the list of SPARQL endpoints URL's, and a FedBench? query to the underlying federation engine. The query evaluation start-up files for the selected systems (which you can checkout from project website https://github.com/AKSW/HiBISCuS/) are given below.

----------FedX-original-----------------------

package : package org.aksw.simba.start;

File:QueryEvaluation?.java

----------FedX-HiBISCuS-----------------------

package : package org.aksw.simba.fedsum.startup;

File:QueryEvaluation?.java

----------SPLENDID-original-----------------------

package : package de.uni_koblenz.west.evaluation;

File:QueryProcessingEval?.java

----------SPLENDID-HiBISCuS-----------------------

package : package de.uni_koblenz.west.evaluation;

File:QueryProcessingEval?.java

----------ANAPSID-----------------------

Follow the instructions given at https://github.com/anapsid/anapsid to configure the system and then use anapsid/ivan-scripts/runQuery.sh to run a query.

hibiscus's People

Contributors

saleem-muhammad avatar

Stargazers

 avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

hibiscus's Issues

License

Hi, what is the license of the repository, is it allowed to bundle it with a new open-source tool?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.