Background

In 2012, I received a Bachelor of Arts from the University of Utrecht, with a focus on language and linguistics, and in 2016 a Master of Science in Media Technology at the Leiden Institute of Advanced Computer Science (LIACS). There, I continued with a PhD, applying Semantic Web and Computer Vision technologies for Information Extraction from image collections from the field of natural history. After, I joined the Knowledge Representation and Reasoning group at the Vrije Universiteit in Amsterdam (and later, the Knowledge in AI group). There, I continued working on using AI techniques to prepare scholarly data for knowledge discovery in the MUHAI project, with a focus on human-centric AI. Recently I joined the INDElab, at the University of Amsterdam, as an assistant professor. At the INDElab, I will continue working with scholarly data for preservation of knowledge and knowledge discovery.

Awards/grants

• Young eScientist Award 2019
• Prize for the winning team of the VISUM summer school 2019 project competition
  • The project involved the creation of a Computer Vision model for the detection and classification of abandoned objects in the interior of self-driving cars.
• Fitzgerald Travel Grant for the SPNHC+TWDG 2018 annual meeting
• Best poster award for the TPDL 2018 conference
• Best poster award for the IEEE eScience 2018 conference

Publications

Journal articles

• 2023
• Allen, B. P., Stork, L., and Groth, P. Knowledge Engineering Using Large Language Models. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 3:1-3:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/TGDK.1.1.3


• 2021
• Stork, L., Weber, A., van den Herik, J., Plaat, A., Verbeek, F., and Wolstencroft, K. Large-scale zero-shot learning in the wild: Classifying zoological illustrations. Ecological Informatics, 62, 101222. (2021), https://doi.org/10.1016/j.ecoinf.2021.101222
• 2019
• Stork, L., Weber, A., Miracle, E. G., Verbeek, F., Plaat, A., van den Herik, J., and Wolstencroft, K. Semantic annotation of natural history collections. Journal of Web Semantics, 59, 100462. (2019), https://doi.org/10.1016/j.websem.2018.06.002

Conference proceedings

• 2024
• Stork, L., Zijdeman, R. L., Tiddi, I., & ten Teije, A. (2024, May). Enabling Social Demography Research Using Semantic Technologies. In: European Semantic Web Conference (pp. 199-216). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60635-9_12


• 2023
• Blin, I., Stork, L., Spillner, L., & Santagiustina, C. (2023, December). OKG: A Knowledge Graph for Fine-grained Understanding of Social Media Discourse on Inequality. In: Proceedings of the 12th Knowledge Capture Conference 2023 (pp. 166-174). https://doi.org/10.1145/3587259.3627557


• Stork, L., Tiddi, I., Spijker, R., & ten Teije, A. (2023, May). Explainable drug repurposing in context via deep reinforcement learning. In: Proceedings of the European Semantic Web Conference (pp. 3-20). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-33455-9_1


• 2019
• Stork, L., Weber, A., Van den Herik, J., Plaat, A., Verbeek, F., Wolstencroft, K., Automated semantic annotation of species names in handwritten texts, In: Fuhr, N., Azzopardi, L., Stein, B., Hauff, C., Mayr, P. & Hiemstra, D. (eds.) Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019. vol. 11437 of Lecture Notes in Computer Science, Springer, Cham. 667-680 14 p. https://doi.org/10.1007/978-3-030-15712-8_43


• 2018
• Stork, L., Weber, A., Herik, J. van den, Plaat, A., Verbeek, F., and Wolstencroft, K. From handwritten manuscripts to linked data, In: Méndez E., Crestani F., Ribeiro C., David G., Lopes J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. volume 11057 of Lecture Notes in Computer Science, Springer, Cham https://doi.org/10.1007/978-3-030-00066-0_34


• Weber, A., Ameryan, M., Wolstencroft, K., Stork, L., Heerlien, M., and Schomaker, L. Towards a digital infrastructure for illustrated handwritten archives. In M. Loannides, editor, Digital Cultural Heritage, volume 10605 of Lecture Notes in Computer Science, pages 155–166. Springer International Publishing, April 2018. https://doi.org/10.1007/978-3-319-75826-8_13

Peer-reviewed conference abstracts

• 2018
• Stork, L., Weber, A., Gassó Miracle, E., and Wolstencroft, K., A workflow for the semantic annotation of field Books and specimen labels, in Biodiversity Information Science and Standards 2: e25839 (2018) (to be presented at the joint meeting of the Society for the Preservation of Natural History Collections (SPNHC) and Biodiversity Information Standards (TDWG), Dunedin, New Zealand, August 25 - September 1, 2018) https://doi.org/10.3897/biss.2.25839


• Stork, L., Wolstencroft K., Weber, A., Verbeek, F., Plaat, A., and Herik, J. van den. Priming digitization: learning the textual structure in field books, Conference abstract, ICT OPEN 2018, 18-19 March 2018, Amersfoort.
• 2017
• Stork, L. and Weber, A., A Linked data approach to disclose handwritten biodiversity heritage collections, Book of Abstracts, DH Benelux 2017 (Utrecht 2017), 10-13.

Other scientific contributions

• 2018
• Stork, L., Weber, A., Herik, J. van den, Plaat, A., Verbeek, F., and Wolstencroft, K. From handwritten manuscripts to linked data, Poster session presented at: TPDL 2018 conference, Porto, Portugal, 10-13 September 2018.
• 2016
• Weber, A., Ameryan, M., Stork, L., Wolstencroft, K., Gassó Miracle, E., Nijssen, S., Wiering, M., Heerlien, M., Thijssen, M., Huetink, M., Verbeek, F., Plaat A., Kok, J., Roberts, L., Herik, J. van den, and Schomaker, L., Making sense of illustrated handwritten archives, Poster session presented at: eScience Symposium, Amsterdam, The Netherlands, 13 October 2016.