1.8k citations · 1.9k across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
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…
Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez +15
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that requ…
Efficiently Charting RDF
Oren Kalinsky, Oren Mishali, Aidan Hogan +2
We propose a visual query language for interactively exploring large-scale knowledge graphs. Starting from an overview, the user explores bar charts through three interactions: cla…
Foundations of Modern Query Languages for Graph Databases
Renzo Angles, Marcelo Arenas, Pablo Barcelo +3
We survey foundational features underlying modern graph query languages. We first discuss two popular graph data models: edge-labelled graphs, where nodes are connected by directed…
OWL: Yet to arrive on the Web of Data?
Birte Glimm, Aidan Hogan, Markus Krötzsch +1
Seven years on from OWL becoming a W3C recommendation, and two years on from the more recent OWL 2 W3C recommendation, OWL has still experienced only patchy uptake on the Web. Alth…
Improving the recall of decentralised linked data querying through implicit knowledge
Jürgen Umbrich, Aidan Hogan, Axel Polleres
Aside from crawling, indexing, and querying RDF data centrally, Linked Data principles allow for processing SPARQL queries on-the-fly by dereferencing URIs. Proposed link-traversal…