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A gallery of up-to-date and stylish LaTeX templates, examples to help you learn LaTeX, and papers and presentations published by our community. Search or browse below.

Astronomy and Astrophysics Template
A&A LaTeX macro package v9.1
downloaded from http://ftp.edpsciences.org/pub/aa/readme.html
Astronomy and Astrophysics

NeurIPS 2021 AI for Science Workshop
The template for NeurIPS 2021 AI for Science Workshop submission.
AI for Science Workshop Organizer

TALLER ALGEBRA LINEAL ISAAC RODRIGUEZ
Taller álgebra lineal
Isaac Rodriguez Escallon

Pooja Panwar resume
1 year experience resume
Pooja Panwar

Classicthesis - Normandie Université - ESIGELEC
Template for thesis done with Normandy University and ESIGELEC Lab.
The Classic Thesis style by André Miede & Ivo Pletikosić
With the COMUE page by Antoine Caillot
Please, check the compliance with the Unviersty
André Miede & Ivo Pletikosić & Antoine Caillot

CVPR 2022 Author Kit
CVPR 2022 author kit, including a paper template and a rebuttal template. Downloaded from https://cvpr2022.thecvf.com/author-guidelines (updated 08/23/2021).
CVPR

template_sobraep_portugues
Template Latex para a revista Sobraep versão em Português
Cássio Luciano Baratieri

CoscMScTemplate
Computer Science MSc Thesis (Brock University) Template
COSC Brock University

SPARQL Query Optimization for Federated Linked Data
The Web has evolved from a system of internet servers supporting formatted documents into a web of linked data. In the last years, the Web of Data is constantly growing. Consequently, it has developed a large collection of interlinked data sets from multiple domains. To exploit the diversity of all available data, federated queries are needed. However, many problems such as processing power, query response time, high workload or outdated information are hindering the query processing. In this paper, I am aiming to explain various optimization techniques which have the potential to lead a significant improvement on the final query runtime. I will start by briefly introducing recent approaches of federation and show why SPARQL federation endpoints are mostly in my focus. Specifically, I will compare state-of-the-art SPARQL query federation engines and analyze respective optimization approaches. The main federation engines I will analyze in terms of query optimization are FedX, DARQ and SPLENDID. As the result I provide concrete examples and conclude which of the engines has the best performance based on the query execution time as key criterion.
Desared Osmanllari