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bulma-clean-theme

A clean and modern Jekyll theme based on Bulma

client.js

A JavaScript client for Triple Pattern Fragments interfaces.

count-distinct-watdiv

crate

CRATE is a real-time distributed CollaboRATive Editor

diceejb

The Dice Game with EJB/JSF

dicegae

Dice on Google App Engine

dicejspgae

Implementation of Dice with JSP on Google App Engine

diceservlet

Th Dice Game Written in Servlet

dsmw

Distributed Semantic MediaWiki

federatedquerykg

This repository is a workplace for COST Action Hackathon event on Federated Query over Knowledge Graphs which will happen on 25-27 April in Izmir Turkey.

fedradawindex

Computing DAW Index for Fedra

fedshop-hack

fedshop COST hackaton

fedshop-summaries

fepassa

flood.it-nodejs

Flood.it is a new lightweight collaborative text editor that uses Node.js and WebSockets.

halteam

A simple app for HAL SPARQL endpoint

ladda

large_scale_data_management

lift

LInked data Fragment Tracking (LIFT): Extracting Basic Graph Patterns from Triple Pattern Fragment Logs

minfo2022

networkdiscovery

quartz-tpf

Parallel SPARQL Query Processing over Replicated Triple Pattern Fragments

rdflib

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

sage-engine

🧙 Sage: a SPARQL query engine for public Linked Data providers

sage-jupy

Deployement of SaGe into a Jupyter Notebook

sage-orderby-experiment

Some test with SagE and Orderby limit k

sage-org.github.io

SaGe website

seaborn-data

Data repository for seaborn examples

semlav

SemLAV allows to execute SPARQL queries over Deep Web and Linked Open Data data sources. It follows the mediator approach based on view definitions over remote data sources. A query is expressed using a mediator schema, SemLAV selects relevant data sources and rank them. The ranking strategy is designed to deliver results quickly based only on view definitions, i.e., no statistics, nor probing on sources are required. In this demonstration, we validate the effectiveness of SemLAV approach with real data sources from social networks and Linked Open Data. We show in different setups that materializing only a subset of ranked relevant views is enough to deliver significant part of expected results. Ref: G. Montoya, L. D. Ibáñez, H. Skaf-Molli, P. Molli, and M.-E. Vidal. Semlav:Local-as-view mediation for sparql. Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII, Lecture Notes in Computer Science, Vol. 8420, pages 33-58,2014. URL: http://tldks.faw.at/paper/92/

spoon-knife

This repo is for demonstration purposes only.