activity
20182021
collaborators

7 papers

cs.DB2021

Time- and Space-Efficient Regular Path Queries on Graphs

Diego Arroyuelo, Aidan Hogan, Gonzalo Navarro +1

We introduce a time- and space-efficient technique to solve regularpath queries over labeled graphs. We combine a bit-parallel simula-tion of the Glushkov automaton of the regular…

cs.DB2021

MillenniumDB: A Persistent, Open-Source, Graph Database

Domagoj Vrgoc, Carlos Rojas, Renzo Angles +7

In this systems paper, we present MillenniumDB: a novel graph database engine that is modular, persistent, and open source. MillenniumDB is based on a graph data model, which we ca…

cs.AI2021

Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking

Daniel Diomedi, Aidan Hogan

The goal of Question Answering over Knowledge Graphs (KGQA) is to find answers for natural language questions over a knowledge graph. Recent KGQA approaches adopt a neural machine…

cs.DB2021

A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs

Waqas Ali, Muhammad Saleem, Bin Yao +2

RDF has seen increased adoption in recent years, prompting the standardization of the SPARQL query language for RDF, and the development of local and distributed engines for proces…

cs.DB2020

Storage, Indexing, Query Processing, and Benchmarking in Centralized and Distributed RDF Engines: A Survey

Waqas Ali, Muhammad Saleem, Bin Yao +2

The recent advancements of the Semantic Web and Linked Data have changed the working of the traditional web. There is significant adoption of the Resource Description Framework (RD…

cs.DB2020

Recursive SPARQL for Graph Analytics

Aidan Hogan, Juan Reutter, Adrian Soto

Work on knowledge graphs and graph-based data management often focus either on declarative graph query languages or on frameworks for graph analytics, where there has been little w…