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Heiko Paulheim

Heiko Paulheim has 2 papers in our library, in 2016–2017, most of them on Lexical semantics & word embeddings, Knowledge graphs & ontologies; often with Christian Bizer, Simone Paolo Ponzetto, Stefano Faralli.

2 papers in our library · 2016–2017

OpenAlex · ORCID · Wikidata · h-index 39 · 439 works · 7,384 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 66 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2223

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of MannheimMannheim · Germany2011–2026 · 260 papersEmployment since 2018 · Professor, Data and Web Science Groupcurrent🎓University of WürzburgWürzburg · Germany2026 · 1 papercurrent🎓Technische Universität DarmstadtDarmstadt · Germany2011–2015 · 30 papers🏢Systems, Applications & Products in Data ProcessingWalldorf · Germany2009–2021 · 14 papers🎓EURECOMValbonne · France2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workLexical semantics & word embeddings · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Knowledge graph · 1 work

 Works by year

2010s

20171 paper20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods (2017 · 1,248 citations)
    Large web knowledge graphs like DBpedia, YAGO, Freebase, Wikidata, and NELL are built through curation, crowdsourcing, or automatic extraction.
  2. A Large DataBase of Hypernymy Relations Extracted from the Web. (2016 · 101 citations)
    Many NLP and data-integration tasks depend on knowing what type an entity belongs to. Popular knowledge bases cover well-known cities and celebrities but miss the long tail of obscure entities. To address this gap, the authors built the WebIsADb, an openly available collection of over 400 million hypernymy ("isa")…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Knowledge Graph Refinement: A Survey of Approaches and Evaluation MethodsSemantic WebHeiko Paulheim2017 · 1,248 citations
  2. A Large DataBase of Hypernymy Relations Extracted from the Web.Language Resources and Evaluation Conference (LREC)Julian Seitner, Christian Bizer, Kai Eckert, et al.2016 · 101 citations
  3. A machine learning approach for product matching and categorization ↗Semantic Web · no summary yetPetar Ristoski et al.2018 · 60 citations

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 66 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/heiko-paulheim/