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Results: 125
Number of items: 125
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Soiland-Reyes, S., & Groth, P. (2019, November 7). Zenodo metadata JSON records as of 2019-09-16 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3531504
  • Open Access
    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.), 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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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.), 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
  • 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
  • Open Access
    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
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