🧑‍🔬 Sabrina Kirrane

🏛️ Affiliations

🎓Vienna University of Economics and BusinessVienna · Austria2011–2026 · 94 papersEmployment 2015–2019 · Senior Postdoctoral Researcher, Institute for Information BusinessEmployment 2020–2024 · Assistant Professor, Institute for Information Systems & New MediaEmployment since 2024 · Associate Professor, Institute for Complex Networkscurrent🎓Ollscoil na Gaillimhe – University of GalwayGalway · Ireland2006–2015 · 5 papersEmployment 2006 · Part-time LecturerEmployment 2010–2015 · Researcher, Insight Centre for Data Analytics🎓Galway-Mayo Institute of TechnologyGalway · Ireland2004–2015Employment 2004–2006 · ResearcherEmployment 2005 · Part-time LecturerEmployment 2013–2015 · Assistant Lecturer, Science

🏛️Storm TechnologyGalway · Ireland2006–2013Employment 2006–2008 · Senior Software ArchitectEmployment 2009–2013 · Líon II Project - Storm Technical Lead

🏛️CelerityDublin · Ireland2003–2004Employment 2003–2004 · Software Engineer.

🏢NortelMississauga · Canada1999–2002Employment 1999–2001Employment 2001–2002

🏛️Nortel Networks LtdMelbourne · Australia2001–2002Employment 2001–2002 · Sales Engineer

🏛️Nortel Networks LtdGalway · Ireland1999–2001Employment 1999–2001 · Software Engineer

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.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Knowledge Graphs (2020 · 2,014 citations)
   This tutorial-style survey gives newcomers a broad, unified introduction to knowledge graphs. Industry interest has grown since Google's 2012 announcement, but the field lacked one overview linking the techniques to classic data management. The authors take an inclusive view: a knowledge graph is a graph of data that…
2. Comparing Annotated Datasets for Named Entity Recognition in English Literature (2022 · 2 citations)
   Named entity recognition benchmarks for English fiction follow different annotation conventions, so a tool's measured quality may reflect the chosen gold standard as much as the tool.

All works

4 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 GraphsACM Computing SurveysAidan Hogan, Eva Blomqvist, Michael Cochez, et al.2020 · 2,014 citations
2. Machine Understandable Policies and GDPR Compliance Checking ↗arXiv:2001.08930 · no summary yetPiero A. Bonatti et al.2020 · 47 citations
3. The linked legal data landscape: linking legal data across different countries ↗Artificial Intelligence and Law (Springer) · no summary yetErwin Filtz, Sabrina Kirrane, Axel Polleres2021 · 41 citations
4. Comparing Annotated Datasets for Named Entity Recognition in English LiteratureLanguage Resources and Evaluation Conference (LREC)Rositsa V. Ivanova, Sabrina Kirrane, Marieke van Erp2022 · 2 citations

🤝 Co-authors here

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

• Aidan Hogan
• Axel-Cyrille Ngonga Ngomo
• Gerard de Melo
• Marieke van Erp
• Roberto Navigli
• Sebastian Neumaier

Venues

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

• ACM Computing Surveys: ACM Computing Surveys 2020
• Language Resources and Evaluation Conference (LREC): LREC 2022
• Artificial Intelligence and Law (Springer)

🔗 Cited by

Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 30 October 2026

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