Laura Hollink
- Full Name
- L. Hollink
- Function(s)
- Scientific Staff Member
- L.Hollink@cwi.nl
- Telephone
- +31 20 592 4047
- Room
- L325
- Department(s)
- Information Access
- Homepage
- http://www.cwi.nl/~hollink
Biography
Summary of career path: 2002-2010 Researcher Vrije Universiteit Amsterdam – Semantic Web 2010-2012 Assistant prof. Delft University of Technology – Web Information Systems 2012-2014 Assistant prof. Vrije Universiteit Amsterdam – Knowledge Representation and Reasoning 2014-present Tenure track researcher Information Access, CWI – Data Science for humanities and social science Laura Hollink is a recognized member of the Semantic Web community and has been active as chair of the PhD symposium (ESWC), tutor at the summer school (SSSW), and chair of the Linked Data (ESWC) and Data Science (SEMANTiCS) tracks. She has an interdisciplinary background with a PhD in Computer Science, a Master of Arts in Information Science, and a minor in Urban Sociology. She acquired funding for three interdisciplinary projects with political scientists and historians (PoliMedia, Talk of Europe, NewsGAC) and has initiated the USEWOD workshop series and a collaboration with Yahoo! Research.
Publications
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Bogaard, T, Hollink, L, Wielemaker, J, van Ossenbruggen, J.R, & Hardman, L. (2018). Metadata categorization for identifying search patterns in a digital library. Journal of Documentation. doi:10.1108/JD-06-2018-0087
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Bilgin, A, Hollink, L, van Ossenbruggen, J.R, Tjong Kim Sang, E, Smeenk, K, Harbers, F, & Broersma, M. (2018). Utilizing a transparency-driven environment toward trusted automatic genre classification: A case study in journalism history. In IEEE 14th International Conference on eScience, e-Science 2018 (pp. 486–496). doi:10.1109/eScience.2018.00137
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2018). Using the web of data to study gender differences in online knowledge sources: The case of the European parliament. doi:10.1145/3201064.3201108
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Bogaard, T, Wielemaker, J, Hollink, L, & van Ossenbruggen, J.R. (2017). SWISH DataLab: A Web Interface for Data Exploration and Analysis. In BNAIC 2016: Artificial Intelligence.
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Becher, O.L, Hollink, L, & Elliott, D. (2017). Exploring concept representations for concept drift detection. In CEUR Workshop Proceedings.
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2017). Bias in the analysis of multilingual legislative speech. In Proceedings of Digital Humanities Benelux Conference 2017.
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van Aggelen, A.E, Hollink, L, (Max) Kemman, M, (Martijn) Kleppe, M, & Beunders, H. (Henri). (2017). The debates of the European Parliament as Linked Open Data. Semantic Web – Interoperability, Usability, Applicability, 8(2), 271–281. doi:10.3233/SW-160227
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van Aggelen, A.E, Hollink, L, & van Ossenbruggen, J.R. (2016). Combining distributional semantics and structured data to study lexical change. In Knowledge Engineering and Knowledge Management (pp. 40–49). doi:10.1007/978-3-319-58694-6_4
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Hollink, L, Bedjeti, A, van Harmelen, M, & Elliott, D. (2016). A corpus of images and text in online news. In Proceedings of International Conference on Language Resources and Evaluation 2016 (LREC 10) (pp. 1377–1382).
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Luczak-Rösch, M, Hollink, L, & Berendt, B. (2016). Current directions for Usage Analysis and the Web of Data: the diverse ecosystem of Web of Data access mechanisms. In Companion proceedings of the International Conference Companion on World Wide Web (pp. 885–887). doi:10.1145/2872518.2891068
Awards
- de derde prijs in de beste demo wedstrijd van ICT.OPEN 2016. (2016)
- LODLAM Open Data Prize at the SUMMIT 2015 for Linked Open Data for Libraries, Archives and Museums on 29-30 June co-located with the Digital Humanities Conference in Sydney, Australia (2015)