Publications
Journal Papers
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Ma, C., Kale, A., Zhang, J., Ma, X., 2022. A Knowledge Graph and Service for Regional Geologic Time Standards. Geoscience Frontiers. In Press. https://10.1016/j.gsf.2022.101453.
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Ma, C., Morrison, S.M., Muscente, A.D., Wang, C., Ma. X., 2022. Incorporate temporal topology in a deep-time knowledge base to facilitate data-driven discovery in geoscience. Geoscience Data Journal. In Press. https://doi.org/10.1002/gdj3.171.
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Ma, X., 2022. Knowledge graph construction and application in geosciences: A review. Computers & Geosciences, 161, 105082. https://doi.org/10.1016/j.cageo.2022.105082
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Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S.M., Wang, J., Lin, C., Cristea, N., Tong, D., Carande, W.H., Ma, X., Rao, Y., Bednar, J.A., Tan, A., Wang, J., Purushotham, S., Gill,T.E., Chastang, J., Howard, D., Holt, B., Gangodagamage, C., Zhao, P., Rivas, P., Chester, Z., Orduz, J., John, A., 2022. A Review of Earth Artificial Intelligence. Computers & Geosciences, 159, 105034. https://doi.org/10.1016/j.cageo.2022.105034
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Muscente, A.D., Martindale, R.C., Prabhu, A., Ma, X., Fox, P., Hazen, R.M., Knoll, A.H., 2022. Appearance and disappearance rates of Phanerozoic marine animal paleocommunities. Geology, 50(3), 341-345. https://doi.org/10.1130/G49371.1
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Ma, C., Hinnov, L.A., Eldrett, J.S., Meyers, S.R., Bergman, S.C., Minisini, D., Lutz, B., 2022. Centennial to millennial variability of greenhouse climate across the mid-Cenomanian event. Geology, 50 (2): 227–231. https://doi.org/10.1130/G48734.1
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Wang, C., Hazen, R.M., Cheng, Q., Stephenson, M.H., Zhou, C., Fox, P., Shen, S., Oberhansli, R., Hou, Z., Ma, X., Feng, Z., Fan, J., *Ma, C., Hu, X., Luo, B., Wang, J., 2021. The Deep-time Digital Earth Program: Data-driven Discovery in the Geosciences. National Science Review, 8(9), nwab027. https://doi.org/10.1093/nsr/nwab027.
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Ma, X., Ma, C., Wang, C., 2020. A new structure for representing and tracking version information in a deep time knowledge graph. 145(12), 104620. https://doi.org/10.1016/j.cageo.2020.104620.
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Ma, C., Li, M., 2020. Multiple paleoclimate proxies constrained astrochronology of the Turonian. Geoscience Frontiers, 11(4), 1345-1352. https://doi.org/10.1016/j.gsf.2020.01.013.
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Ma, C., Meyers, S.R., Hinnov, L.A., Eldrett, J.S., Bergman, S.C. and Minisini, D., 2020. A method to decipher the time distribution in astronomically forced sedimentary couplets. Marine and Petroleum Geology, 118, 104399. https://doi.org/10.1016/j.marpetgeo.2020.104399.
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Ma, X., 2019. Geo-Data Science: Leveraging Geoscience Research with Geoinformatics, Semantics and Open Data. Acta Geologica Sinica, 93(s1), 44-47. https://doi.org/10.1111/1755-6724.14240.
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Morrison, S.M., Prabhu, A., Eleish, A., Pan, F., Zhong, H., Huang, F., Fox, P., Ma, X., Ralph, J., Golden, J.J., Downs, R., Liu, C., Runyon, S.E., Hazen, R.M., 2019. Application of Advanced Analytics and Visualization in Mineral Systems. Acta Geologica Sinica, 93(s1), 55-55. https://doi.org/10.1111/1755-6724.14243.
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Wang, C., Ma, X. and Chen, J., 2018. Ontology-driven data integration and visualization for exploring regional geologic time and paleontological information. Computers & Geosciences, 115, pp.12-19. Open Access. https://doi.org/10.1016/j.cageo.2018.03.004. [An earlier pilot study]
Book Chapters
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Ma, X., 2021. Big Data. Encyclopedia of Mathematical Geosciences. Springer, Cham, Switzerland. In Press. [Invited Category-A Article: Deep Review of a Domain] https://doi.org/10.1007/978-3-030-26050-7_2-1
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Ma, X., 2021. Data Science for Geosciences: Recent Progress and Future Trends from the Perspective of a Data Life Cycle. In: GSA Special Papers - Recent Advancement in Geoinformatics and Data Science. Geological Society of America, Boulder, CO. In Press.
Conference Presentations
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Ma, X., Kale, A., Li, C., Zhang, J., Que, X., Salati, S., Ralph, J., Prabhu, A., Morrison, S.M., Hazen, R.M., 2022. Semantics of FAIR geoscience data: A key factor to facilitate the data science workflow. GSA 2022 Annual Meeting, Denver, CO. Oral presentation.
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Ma, X., 2022. Temporal topology in the deep-time knowledge base and applications in geoscience. IAMG 2022 Annual Meeting, Nancy, France. Oral presentation.
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Zhang, J., Ma, X., 2022. Knowledge graphs in geoscience data analytics: A literature review. 2022 ESIP Summer Meeting, Pittsburg, PA, Poster.
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Ma, X., 2021. Temporal topology for nominal and numerical entities in the deep-time knowledge base. GSA 2021 Annual Meeting, Portland, OR.
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Ma, X., 2021. Incorporate temporal topology in the deep-time knowledge base. Session – Spatial Data Handling for Smart Cities and Earth System. 19thInternational Conference on Spatial Data Handling and Geographic Intelligence. Online Meeting.
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Ma, X., 2021. X-Informatics: making data science down to earth in the real world. ESIP 2021 Summer Meeting Special Plenary Session to Honor Prof. Peter Fox.
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Ma, X., Ma, C., Kale, A., Crump III, R., 2020. Approaches to improve semantic description and reasoning capability in the deep time knowledge base. GSA 2020 Annual Meeting. [Invited Presentation]
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Ma, C., Ma, X., Kale, A., Crump III, R., 2020. Knowledge graphs for global and regional geologic time scales and an associated R package. AGU Fall Meeting 2020.
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Ma, X., Ma, C., 2020. Deep Time Knowledge Base: Improving Data Interoperability and Facilitating Reproducible Workflows. NSF CSSI PI Meeting, Seattle, WA. Lightning Talk and Poster.
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Ma, C., Ma, X., Que, X., 2020. Deep-time Climate Database and Tailored Spatio-temporal Tools. ESIP Winter Meeting 2020. Bethesda, MD. Poster.
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Morrison, M.M., Eleish, A., Prabhu, A., Narkar, S., Pan, F., Huang, F., Fox, P., Zhang, S., Howell, S., Ma, X., Ralph, J., Golden, J.J., Downs, R.T., Hazen, R.M., 2019. Characterizing carbon mineralogy and formational environments through deep time with advanced analytics and visualization. GSA 2019 Annual Meeting. Phoenix, AZ. Oral Presentation.
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Ma, X., 2019. Data visualization in mineral evolution studies. GSA 2019 Annual Meeting. Phoenix, AZ. Invited Oral Presentation.
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Ma, C., Ma, X., 2019. Deep time climate data. ESIP 2019 Summer Meeting. Tacoma, WA. Poster.
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Ma, X., 2019. A knowledge base of deep time to assimilate multi-disciplinary datasets in the study of co-evolving geosphere and biosphere. IAMG 2019 Annual Meeting. State College, PA. Oral Presentation.
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Ma, X., Ma, C., 2019. Towards a machine-readable knowledge base of deep time: challenges, current progress, and future work. ESIP 2019 Summer Meeting. Tacoma, WA. Poster. [Link to poster on Figshare]
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Ma, X., 2019. A Method for Concept and Attribute Versioning in the Geologic Time Ontology. US2TS2019: The Second U.S. Semantic Technologies Symposium. Durham, NC. Oral Presentation.
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Ma, X., 2019. Geo-Data Science: Leveraging Geoscience Research with Geoinformatics, Semantics and Open Data. International Forum on Deep-time Digital Earth (DDE) Big Science Program. Beijing. Invited Oral Presentation.
Seminars
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Ma, X., 2022. Semantics in the Open Science Network. The 2022 EarthCube Annual Meeting, San Diego, CA [15-minute lightning talk for a panel]
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Ma, X., 2022. Knowledge Graph Construction and Application in Geosciences - An Illustration with the Deep-Time Knowledge Graph. The First Workshop on Geospatial Knowledge Graphs at The Knowledge Graph Conference 2022, New York. [One hour]
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Ma, X., 2021. Temporal topology in the deep-time knowledge base. University of Idaho Computer Science Colloquium. [45 minutes]
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Ma, C., Ma, X., Crump III, R., Kale A.S., Clemens, T., 2020. Knowledge graphs for global and regional geologic time scales and an associated R package. GIS Day at University of Idaho. [20 minnutes]
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Ma, C., 2020. A transformation of depth to age for IODP cores and spatiotemporal analysis of paleoclimate proxies in IODP data. 2020 DDE and IODP Open Data Workshop. [20 minutes]
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Ma, X., 2020. Deep time knowledge graph and smart deep time dataset search. 2020 DDE and IODP Open Data Workshop. [20 minutes]
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Ma, X., 2020. A new structure for version control in a deep time knowledge graph. 2020 Deep-time Digital Earth Knowledge System Workshop. Online Meeting. [30 minutes]
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Ma, X., 2020. A new structure for representing and tracking version information in a deep time knowledge graph. ESIP Semantic Technology Committee Telecon. [30 minutes] [Link to recorded video on Youtube]
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Ma, X., 2019. Geoinformatics and Geo-Data Science in Practice. The 644th Session of the Xiangshan Science Conference, Deep-time Digital Earth: International Workshop on Paleogeography Reconstruction and Deep-time Big Data, Beijing, China. 45-minute seminar.
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Ma, X., 2019. Towards a machine-readable knowledge base of deep time. The Fifth Deep-time Digital Earth (DDE) Working Group Seminar, Kunshan, China. 30-minute seminar
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Ma, X., 2019. Why we need a machine-readable knowledge base of deep time and our approach to build it. Seminar at Carnegie Institution for Science – Geophysical Laboratory, Washington, DC. 45-minute seminar. [Link to recorded video on Youtube]