--- title: "Fabian Suchanek — author profile and papers" description: "Fabian Suchanek, Télécom Paris: 2 papers on Elamur Research (2012–2015), h-index 37 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/fabian-suchanek/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fabian-suchanek/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fabian Suchanek # Fabian Suchanek Fabian Suchanek works on building large knowledge bases and connecting them to natural language. Their papers here focus on [knowledge graphs and ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/): how structured facts about entities can be gathered from sources such as Wikipedia, kept consistent, and linked to the many ways people phrase the same relation in text. The methods combine information extraction with existing semantic resources, using entity types and class hierarchies to organise what is extracted. The most cited of these works is [PATTY: A Taxonomy of Relational Patterns with Semantic Types](https://md.research.elamur.ai/free/en/papers/nakashole-2012-patty-taxonomy-relational-patterns-semantic/) from 2012. Knowledge bases name relations with abstract labels, while text expresses them through varied wording. PATTY gathers such relational phrases and arranges them into synonym groups and a hierarchy, much as WordNet does for words. It types the arguments of each pattern with semantic classes from a knowledge base, which separates phrases whose meaning depends on context. It generalises patterns both syntactically and semantically. It infers that one pattern subsumes another when the entity pairs it connects largely fall within the other's set. The next most cited is [YAGO3: A Knowledge Base from Multilingual Wikipedias](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/) from 2015. YAGO3 is also the newest of the papers here, and it turns toward [multilingual and cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/). Most knowledge bases drawn from Wikipedia use only the English edition. That misses entities and facts that are covered only in other languages, often because they are of local interest. YAGO3 extends the YAGO knowledge base by merging several language editions into a single coherent resource, rather than building a separate one per language. Suchanek's current institution is [Télécom Paris](https://md.research.elamur.ai/free/en/universities/telecom-paris/), with the [Laboratoire Traitement et Communication de l’Information](https://md.research.elamur.ai/free/en/labs/laboratoire-traitement-et-communication-de-l-information/) and the [Institut Polytechnique de Paris](https://md.research.elamur.ai/free/en/universities/institut-polytechnique-de-paris/). Earlier affiliations include the [Max Planck Institute for Informatics](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) and the [Institut national de recherche en sciences et technologies du numérique](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/). Co-authors include [Gerhard Weikum](https://md.research.elamur.ai/free/en/authors/gerhard-weikum/). Fabian Suchanek has 2 papers in our library, in 2012–2015, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Gerhard Weikum](https://md.research.elamur.ai/free/en/authors/gerhard-weikum/). 2 papers in our library · 2012–2015 [OpenAlex](https://openalex.org/A5034994700) · [ORCID](https://orcid.org/0000-0001-7189-2796) · [Wikidata](https://www.wikidata.org/wiki/Q41777585) · [**h-index 37**](https://openalex.org/authors/A5034994700) · [199 works](https://openalex.org/works?filter=author.id:A5034994700) · [12,325 citations](https://openalex.org/works?filter=author.id:A5034994700&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fabian-suchanek/#papers) · [🔗 216 citations in our library](https://md.research.elamur.ai/free/en/authors/fabian-suchanek/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #2547](https://md.research.elamur.ai/free/en/paper-stars/page/26/#star-2547) 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=Fabian+Suchanek) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fabian+Suchanek) · [dblp](https://dblp.org/search?q=Fabian+Suchanek) · [ACL Anthology](https://aclanthology.org/search/?q=Fabian+Suchanek) ## Affiliations [🎓**Télécom Paris** Palaiseau · France 2010–2026 · 86 papersEmployment since 2013*current*](https://md.research.elamur.ai/free/en/universities/telecom-paris/) · [🎓**Institut Polytechnique de Paris** Palaiseau · France 2018–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/universities/institut-polytechnique-de-paris/) · [🔬**Laboratoire Traitement et Communication de l’Information** Palaiseau · France 2012–2026 · 40 papers*current*](https://md.research.elamur.ai/free/en/labs/laboratoire-traitement-et-communication-de-l-information/) · [🎓**Université Paris-Saclay** Gif-sur-Yvette · France 2014–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/universite-paris-saclay/) · [🔬**Max Planck Institute for Informatics** Saarbrücken · Germany 2007–2015 · 40 papersEducation until 2008](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) · [🔬**Max Planck Society** Munich · Germany 2006–2013 · 18 papers](https://md.research.elamur.ai/free/en/labs/max-planck-society/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 2010–2020 · 17 papers](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🔬**Centre Inria de Saclay** Palaiseau · France 2010–2012 · 12 papers](https://md.research.elamur.ai/free/en/labs/centre-inria-de-saclay/) · [🎓**ParisTech** Paris · France 2013–2022 · 10 papers](https://ror.org/05c2qg481) · [🎓**Saarland University** Saarbrücken · Germany 2005Education until 2005](https://md.research.elamur.ai/free/en/universities/saarland-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Topics [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2010s [**2015** 1 paper](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/) · [**2012** 1 paper](https://md.research.elamur.ai/free/en/papers/nakashole-2012-patty-taxonomy-relational-patterns-semantic/) ## Papers The most cited first (OpenAlex and our library). 1. **[PATTY: A Taxonomy of Relational Patterns with Semantic Types](https://md.research.elamur.ai/free/en/papers/nakashole-2012-patty-taxonomy-relational-patterns-semantic/)** *(2012 · 432 citations)* Large knowledge bases store relations as abstract labels such as bornIn, but they do not record the many natural-language phrasings that express those relations. 2. **[YAGO3: A Knowledge Base from Multilingual Wikipedias](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/)** *(2015 · 235 citations)* Most Wikipedia-derived knowledge bases rely almost entirely on the English edition. This leaves out many entities and facts that appear only in other language editions, often because they are too local for English Wikipedia. YAGO3 extends YAGO by combining ten Wikipedia editions into one consistent knowledge base… ## Also in our library 2 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 1 co-author with a page, the most papers together first. - [Gerhard Weikum](https://md.research.elamur.ai/free/en/authors/gerhard-weikum/) ## Cited by Papers of our library cite their works 216 times (of the 140,884 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fabian-suchanek/cited-by/).