--- title: "Aidan Hogan — author profile and papers" description: "Aidan Hogan, University of Chile: 2 papers on Elamur Research (2015–2020), h-index 37 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/aidan-hogan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aidan-hogan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Aidan Hogan # Aidan Hogan Aidan Hogan works on knowledge graphs and the Semantic Web, with a focus on how graph-structured data about real-world entities can be represented, published and queried. Their papers here deal with RDF, SPARQL querying and Wikidata. A recurring question is how rich, annotated statements can be expressed within standard graph data models without losing the ability to query them with existing tools. The work falls under the topic of [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/). The most cited of these papers is [Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) (2020). It is a broad, tutorial-style survey written by a large international team. It sets out what knowledge graphs are, which techniques they draw on and how they connect to earlier data management research. It takes an inclusive view of a knowledge graph as a graph of entities linked by relations, assembled to capture and convey knowledge about the world. An earlier and more technical study, [Reifying RDF: What Works Well With Wikidata?](https://md.research.elamur.ai/free/en/papers/hernandez-2015-reifying-rdf-what-works-well/) (2015), asks how Wikidata should be converted to RDF so that ordinary SPARQL engines can query it. Wikidata statements carry qualifiers and source references, so the triples themselves need to be described. The paper models this as statement-identified quads plus auxiliary triples, and then compares ways of encoding those quads in RDF. Read together, the two papers move from a concrete reification problem in 2015 to a general overview of the field in 2020. Hogan's current institution is the University of Chile, where bylines run from 2014 onward. Earlier papers, from 2005 to 2018, were written at [Ollscoil na Gaillimhe – University of Galway](https://md.research.elamur.ai/free/en/universities/ollscoil-na-gaillimhe-university-of-galway/), with some also listing the National University of Ireland. Co-authors in the library include [Gerard de Melo](https://md.research.elamur.ai/free/en/authors/gerard-de-melo/) and [Roberto Navigli](https://md.research.elamur.ai/free/en/authors/roberto-navigli/). Aidan Hogan has 2 papers in our library, in 2015–2020, most of them on [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Gerard de Melo](https://md.research.elamur.ai/free/en/authors/gerard-de-melo/), [Roberto Navigli](https://md.research.elamur.ai/free/en/authors/roberto-navigli/). 2 papers in our library · 2015–2020 [OpenAlex](https://openalex.org/A5070504151) · [ORCID](https://orcid.org/0000-0001-9482-1982) · [**h-index 37**](https://openalex.org/authors/A5070504151) · [204 works](https://openalex.org/works?filter=author.id:A5070504151) · [6,772 citations](https://openalex.org/works?filter=author.id:A5070504151&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/aidan-hogan/#papers) · [🔗 114 citations in our library](https://md.research.elamur.ai/free/en/authors/aidan-hogan/cited-by/) · [⭐ Paper Star rank #1181](https://md.research.elamur.ai/free/en/paper-stars/page/12/#star-1181) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Aidan+Hogan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aidan+Hogan) · [dblp](https://dblp.org/search?q=Aidan+Hogan) · [ACL Anthology](https://aclanthology.org/search/?q=Aidan+Hogan) ## Affiliations [🎓**University of Chile** Santiago · Chile 2014–2026 · 102 papers*current*](https://ror.org/047gc3g35) · [🎓**Ollscoil na Gaillimhe – University of Galway** Galway · Ireland 2005–2018 · 36 papers](https://md.research.elamur.ai/free/en/universities/ollscoil-na-gaillimhe-university-of-galway/) · [🎓**National University of Ireland** Dublin · Ireland 2008–2011 · 5 papers](https://ror.org/00shsf120) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Leipzig University** Leipzig · Germany 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/leipzig-university/) · [🎓**Paderborn University** Paderborn · Germany 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/paderborn-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Topics [Knowledge graphs & ontologies (2)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2020s [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) ### 2010s [**2015** 1 paper](https://md.research.elamur.ai/free/en/papers/hernandez-2015-reifying-rdf-what-works-well/) ## Papers The most cited first (OpenAlex and our library). 1. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/)** *(2020 · 2,011 citations)* This tutorial-style survey addresses the absence of a single accessible overview of what knowledge graphs are, which techniques they rely on, and how they relate to established data management research. 2. **[Reifying RDF: What Works Well With Wikidata?](https://md.research.elamur.ai/free/en/papers/hernandez-2015-reifying-rdf-what-works-well/)** *(2015 · 7 citations)* The authors look for the most convenient way to translate Wikidata into RDF so that it can be queried with ordinary SPARQL engines. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Gerard de Melo](https://md.research.elamur.ai/free/en/authors/gerard-de-melo/) - [Roberto Navigli](https://md.research.elamur.ai/free/en/authors/roberto-navigli/) ## Cited by Papers of our library cite their works 114 times (of the 140,884 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/aidan-hogan/cited-by/).