Publications

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Filters: Author is Ryan McGranaghan  [Clear All Filters]
2022
C. Baru, Campbell, L., Chang, W., DeBlank-Knowles, T., George, J., Halbert, M., Albrecht, K., Amaral, L., Ammar, N., Bacastow, T., Baranzini, S., Bishop, M., Cafarella, M., Cucerzan, S., Ding, Y., Handspicker, B., Hassanzadeh, O., Hitzler, P., Hudson, F., Israni, S., Rizk-Jackson, A., Jackson, E., Jahn, E., Janowicz, K., Kar, B., Klein, S., Lange, M., Lassila, O., Li, C., McGranaghan, R., Omay, M., Pah, A., Raschid, L., Ricart, G., Sallinger, E., Seaton, G., Shimizu, C., Stahopoulos, A., Wormeli, P., Yeghiazarian, L., Young, E., Livingston, P., Maughan, D., and Smith, S., “Open Knowledge Network Roadmap: Powering The Next Data Revolution”, 2022.
2021
C. Shimizu, McGranaghan, R., Eberhart, A., and Kellerman, A. C., “Towards a Modular Ontology for Space Weather Research”, in Advances in Ontology Design Patterns, IOS Press, 2021.PDF icon Towards a Modular Ontology for Space Weather Research.pdf (596.89 KB)
2020
C. Shimizu, McGranaghan, R., and Kellerman, A. C., “Data Integration with Knowledge Graphs: A Space Weather Use-case”. American Geophysical Union (AGU) Fall Meeting 2020, 2020.
C. Shimizu, McGranaghan, R., Eberhart, A., and Kellerman, A. C., “Towards a Modular Ontology for Space Weather Research”, CoRR, vol. abs/2009.12285, 2020.PDF icon Numeric_Transformation_Pattern.pdf (521.25 KB)