World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7519
World Ranking
8378
National Ranking
4

Overview

Aidan Hogan is affiliated with the University of Chile in Chile. Their research primarily spans the field of Computer Science with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, and Management Science and Operations Research.

Their research topics cover a range of areas including Graph Theory and Algorithms, Semantic Web and Ontologies, Advanced Graph Neural Networks, Advanced Database Systems and Queries, Data Management and Algorithms, Data Quality and Management, and Topic Modeling.

Recently published papers by Hogan include:

  • Knowledge Graphs, 2021, ACM Computing Surveys
  • Knowledge Graphs, 2021, Synthesis Lectures on Data, Semantics and Knowledge
  • A survey of RDF stores & SPARQL engines for querying knowledge graphs, 2021, The VLDB Journal
  • Augmented non-hallucinating large language models as medical information curators, 2024, npj Digital Medicine
  • The Semantic Web: Two decades on, 2020, Semantic Web

Among frequent co-authors collaborating with Hogan are Diego Arroyuelo, Gonzalo Navarro, Axel-Cyrille Ngonga Ngomo, Ursula Trinler, and Javiel Rojas-Ledesma.

Hogan's work appears in multiple publication venues, with notable recurring contributions to:

  • arXiv (Cornell University)
  • Semantic Web
  • Zenodo (CERN European Organization for Nuclear Research)
  • Clinical Biomechanics
  • Gait & Posture

The scientist has authored books published by Springer Science+Business Media, including "The Semantic Web: ESWC 2021 Satellite Events" (2021) and "The Semantic Web - ISWC 2022" (2022).

Best Publications

  • Knowledge Graphs

    Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia d'Amato

  • Foundations of Modern Query Languages for Graph Databases

    Renzo Angles;Marcelo Arenas;Pablo Barceló;Aidan Hogan

  • YARS2: a federated repository for querying graph structured data from the web

    Andreas Harth;Jürgen Umbrich;Aidan Hogan;Stefan Decker

  • SPARQL Web-Querying Infrastructure: Ready for Action?

    Carlos Buil-Aranda;Aidan Hogan;Jürgen Umbrich;Pierre-Yves Vandenbussche

  • Searching and browsing Linked Data with SWSE: The Semantic Web Search Engine

    Aidan Hogan;Andreas Harth;Jürgen Umbrich;Sheila Kinsella

  • Weaving the Pedantic Web

    Aidan Hogan;Andreas Harth;Alexandre Passant;Stefan Decker

  • An empirical survey of Linked Data conformance

    Aidan Hogan;JüRgen Umbrich;Andreas Harth;Richard Cyganiak

  • Information extraction meets the semantic web: a survey

    José-Lázaro Martínez-Rodríguez;Aidan Hogan;Ivan López-Arévalo

  • Observing Linked Data Dynamics

    Tobias Käfer;Ahmed Abdelrahman;Jürgen Umbrich;Patrick O’Byrne

  • Knowledge Graphs

    Aidan Hogan;Eva Blomqvist;Michael Cochez;Claudia D’amato

  • LSQ: The Linked SPARQL Queries Dataset

    Muhammad Saleem;Muhammad Intizar Ali;Aidan Hogan;Qaiser Mehmood

  • Towards Dataset Dynamics: Change Frequency of Linked Open Data Sources

    Jürgen Umbrich;Michael Hausenblas;Aidan Hogan;Axel Polleres

  • Scalable and distributed methods for entity matching, consolidation and disambiguation over linked data corpora

    Aidan Hogan;Antoine Zimmermann;Jürgen Umbrich;Axel Polleres

  • Reifying RDF: What Works Well With Wikidata?

    Daniel Hernández;Aidan Hogan;Markus Krötzsch

  • ReConRank: A Scalable Ranking Method for Semantic Web Data with Context

    Aidan Hogan;Andreas Harth;Stefan Decker

  • Scalable Authoritative OWL Reasoning for the Web

    Aidan Hogan;Andreas Harth;Axel Polleres

  • On blank nodes

    Alejandro Mallea;Marcelo Arenas;Aidan Hogan;Axel Polleres

  • Everything you always wanted to know about blank nodes

    Aidan Hogan;Marcelo Arenas;Alejandro Mallea;Axel Polleres

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

    Waqas Ali;Muhammad Saleem;Bin Yao;Aidan Hogan

  • Performing Object Consolidation on the Semantic Web Data Graph

    Aidan Hogan;Andreas Harth;Stefan Decker

  • The ACE theorem for querying the web of data

    Jürgen Umbrich;Claudio Gutierrez;Aidan Hogan;Marcel Karnstedt

Frequent Co-Authors

Axel Polleres
Axel Polleres Vienna University of Economics and Business
Stefan Decker
Stefan Decker RWTH Aachen University
Andreas Harth
Andreas Harth University of Erlangen-Nuremberg
Axel-Cyrille Ngonga Ngomo
Axel-Cyrille Ngonga Ngomo University of Paderborn
Marcelo Arenas
Marcelo Arenas Pontificia Universidad Católica de Chile
Roberto Navigli
Roberto Navigli Sapienza University of Rome
Steffen Staab
Steffen Staab University of Stuttgart
Krzysztof Janowicz
Krzysztof Janowicz University of California, Santa Barbara
Piero A. Bonatti
Piero A. Bonatti University of Naples Federico II

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education options in the USA opens up a variety of flexible and rewarding career pathways in technology. For those with an interest in analytics and machine learning, pursuing a data science degree can lead to high-demand roles in fields like finance, healthcare, and tech.

Tech-savvy students looking for alternatives may benefit from considering online electrical engineering career outcomes, which include positions in design, research, and automation across multiple industries.

If you’re interested in advancing your qualifications quickly, there are a range of certifications that pay well in IT, cybersecurity, and project management, many of which can be earned online. These certifications offer a fast track to increased earning potential or career transitions.

For those seeking to expand their expertise with a higher degree, the shortest masters degree programs online can help you achieve your goals in less time, allowing for greater flexibility and quicker entry into specialized roles in the tech industry.

Best Scientists Citing Aidan Hogan

Trending Scientists

Recently Published Articles