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Prof. dr. P.T. (Paul) Groth

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute

  • Science Park 904
  • Kamernummer: C3.253
  • Postbus 94323
    1090 GH Amsterdam
Social media
  • Publicaties


    • Daza, D., Cochez, M., & Groth, P. (2021). Inductive entity representations from text via link prediction. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 798-808). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450141 [details]
    • Koesten, L., Gregory, K., Groth, P., & Simperl, E. (2021). Talking datasets – Understanding data sensemaking behaviours. International Journal of Human-Computer Studies, 146, [102562]. https://doi.org/10.1016/j.ijhcs.2020.102562 [details]


    • Alam, M., Groth, P., Hitzler, P., Paulheim, H., Sack, H., & Tresp, V. (2020). CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 3523-3524). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3414072 [details]
    • Berger, M., Zavrel, J., & Groth, P. (2020). Effective distributed representations for academic expert search. In M. K. Chandrasekaran, A. de Waard, G. Feigenblat, D. Freitag, T. Ghosal, E. Hovy, P. Knoth, D. Konopnicki, P. Mayr, R. M. Patton, & M. Shmueli-Scheuer (Eds.), First Workshop on Scholarly Document Processing: EMNLP 2020 : proceedings of the workshop : November 19, 2020, Online (pp. 56-71). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.sdp-1.7 [details]
    • Blomqvist, E. (Ed.), Groth, P. (Ed.), de Boer, V. (Ed.), Pellegrini, T. (Ed.), Alam, M., Käfer, T. (Ed.), Kieseberg, P. (Ed.), Kirrane, S. (Ed.), Meroño-Peñuela, A. (Ed.), & Pandit, H. J. (Ed.) (2020). Semantic Systems : In the Era of Knowledge Graphs: 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7-10, 2020 : proceedings. (Lecture Notes in Computer Science; Vol. 12378). Springer. https://doi.org/10.1007/978-3-030-59833-4 [details]
    • Brate, R., Groth, P., & van Erp, M. (2020). Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels. In S. DeGaetano, A. Kazantseva, N. Reiter, & S. Szpakowicz (Eds.), The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature: Co-located with the 28th International Conference on Computational Linguistics COLING’2020 : COLING 2020 : proceedings : December 12, 2020, Barcelona, Spain, (Online) (pp. 147-155). International Committee on Computational Linguistics. https://www.aclweb.org/anthology/2020.latechclfl-1.18 [details]
    • Chapman, A., Simperl, E., Koesten, L., Konstantinidis, G., Ibáñez, L-D., Kacprzak, E., & Groth, P. (2020). Dataset search: a survey. The VLDB Journal, 29(1), 251-272. https://doi.org/10.1007/s00778-019-00564-x [details]
    • Gregory, K. M., Cousijn, H., Groth, P., Scharnhorst, A., & Wyatt, S. (2020). Understanding data search as a socio-technical practice. Journal of Information Science, 46(4), 459-475. https://doi.org/10.1177/0165551519837182 [details]
    • Gregory, K., Groth, P., Scharnhorst, A., & Wyatt, S. (2020). Lost or Found? Discovering Data Needed for Research. Harvard Data Science Review, 2(2.2). https://doi.org/10.1162/99608f92.e38165eb [details]
    • Groth, P., Cousijn, H., Clark, T., & Goble, C. (2020). FAIR Data Reuse – the Path through Data Citation. Data Intelligence, 2(1-2), 78-86. https://doi.org/10.1162/dint_a_00030 [details]
    • Koesten, L., Vougiouklis, P., Simperl, E., & Groth, P. (2020). Dataset Reuse: Toward Translating Principles to Practice. Patterns, 1(8), [100136]. https://doi.org/10.1016/j.patter.2020.100136 [details]
    • Selten, F., Neylon, C., Huang, C-K., & Groth, P. (2020). A longitudinal analysis of university rankings. Quantitative Science Studies, 1(3), 1109-1135. https://doi.org/10.1162/qss_a_00052 [details]
    • Stamatogiannakis, M., Bos, H., & Groth, P. (2020). PANDAcap: A framework for streamlining collection of full-system traces. In EuroSec 2020: proceedings of the 13th European Workshop on Systems Security : April 27, 2020, Heraklion, Crete, Greece (pp. 1-6). The Association for Computing Machinery. https://doi.org/10.1145/3380786.3391396 [details]
    • van Erp, M., & Groth, P. (2020). Towards Entity Spaces. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2020: Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (pp. 2129-2137). European Language Resources Association (ELRA). https://www.aclweb.org/anthology/2020.lrec-1.261 [details]


    • Gregory, K., Groth, P., Cousijn, H., Scharnhorst, A., & Wyatt, S. (2019). Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines. Journal of the Association for Information Science and Technology, 70(5), 419-432. https://doi.org/10.1002/asi.24165 [details]
    • Groth, P., Scerri, A., Daniel, R., & Allen, B. P. (2019). End-to-end learning for answering structured queries directly over text. In M. Alam, D. Buscaldi, M. Cochez, F. Osborne, D. Reforgiato Recupero, & H. Sack (Eds.), DL4KG2019 : Workshop on Deep Learning for Knowledge Graphs: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019), co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019) : Portoroz, Slovenia, June 2, 2019 (pp. 57-70). (CEUR Workshop Proceedings; Vol. 2377). CEUR-WS. http://ceur-ws.org/Vol-2377/paper_7.pdf [details]


    • Groth, P., Koesten, L., Mayr, P., de Rijke, M., & Simperl, E. (2018). DATA:SEARCH'18 - Searching Data on the Web: Preface. In L. Dietz, L. Koesten, & S. Verberne (Eds.), ProfS-KG4IR-Data:Search 2018 : SIGIR 2018 Workshops: ProfS, KG4IR, and DATA:SEARCH: Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search (DATA:SEARCH’18), co-located with (ACM SIGIR 2018) : Ann Arbor, Michigan, USA, July 12, 2018 (pp. 65-66). (CEUR Workshop Proceedings; Vol. 2127). CEUR-WS. http://ceur-ws.org/Vol-2127/preface-datasearch.pdf [details]
    • Groth, P., Koesten, L., Mayr, P., de Rijke, M., & Simperl, E. (2018). DATA:SEARCH'18 - Searching data on the web. In SIGIR #41 proceedings: Ann Arbor, Michigan, USA, 08-12, July 2018 (pp. 1419-1422). Association for Computing Machinery. https://doi.org/10.1145/3209978.3210195 [details]


    • Hoekstra, R., & Groth, P. (2015). PROV-O-Viz - Understanding the Role of Activities in Provenance. In B. Ludäscher, & B. Plale (Eds.), Provenance and Annotation of Data and Processes: 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014 : revised selected papers (pp. 215-220). (Lecture Notes in Computer Science; Vol. 8628). Springer. https://doi.org/10.1007/978-3-319-16462-5_18 [details]
    • Wibisono, A., Bloem, P., de Vries, G. K. D., Groth, P., Belloum, A., & Bubak, M. (2015). Generating scientific documentation for computational experiments using provenance. In B. Ludäscher, & B. Plale (Eds.), Provenance and Annotation of Data and Processes: 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014 : revised selected papers (pp. 168-179). (Lecture Notes in Computer Science; Vol. 8628). Springer. https://doi.org/10.1007/978-3-319-16462-5_13 [details]


    • Beek, W., Groth, P., Schlobach, S., & Hoekstra, R. (2014). A Web Observatory for the Machine Processability of Structured Data on the Web. In WebSci'14: proceedings of the 2014 ACM Web Science Conference: June 23-26, 2014, Bloomington, IN, USA (pp. 249-250). Association for Computing Machinery. https://doi.org/10.1145/2615569.2615654 [details]
    • Hoekstra, R., Groth, P., & Charlaganov, M. (2014). Linkitup: Semantic Publishing of Research Data. In V. Presutti, M. Stankovic, E. Cambria, I. Cantador, A. Di Iorio, T. Di Noia, C. Lange, D. R. Recupero, & A. Tordai (Eds.), Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014: revised selected papers (pp. 95-100). (Communications in Computer and Information Science; Vol. 475). Springer. https://doi.org/10.1007/978-3-319-12024-9_12 [details]




    • Antoniou, G., Groth, P., van Harmelen, F., & Hoekstra, R. (2012). A Semantic Web Primer. (3rd ed.) (Cooperative information systems). MIT Press. [details]


    • Symeonidou, A., Sazonau, V., & Groth, P. (2019). Transfer learning for biomedical named entity recognition with BioBert. Poster session presented at 15th International Conference on Semantic Systems, SEMPDS 2019, Karlsruhe, Germany. http://ceur-ws.org/Vol-2451/paper-26.pdf


    • van Noort, G. & Groth, P. (2019). Ethical MInDS: Mapping interventions for data use in squads.


    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    • MIT Press
      Text book author
    • Morgan and Claypool Publishers
      Book series editor for the Synthesis Lectures on the Semantic Web
    • Hivemap