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Publications

Journal Papers

  1. 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.
  2. 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. 
  3. 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
  4. 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
  5. 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 
  6. 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
  7. 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. 
  8. 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.
  9. 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.
  10. 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.
  11. 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. 
  12. 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.
  13. 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

  1. 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
  2. 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

  1. 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.
  2. Ma, X., 2022. Temporal topology in the deep-time knowledge base and applications in geoscience. IAMG 2022 Annual Meeting, Nancy, France. Oral presentation.
  3. Zhang, J., Ma, X., 2022. Knowledge graphs in geoscience data analytics:  A literature review. 2022 ESIP Summer Meeting, Pittsburg, PA, Poster.
  4. Ma, X., 2021. Temporal topology for nominal and numerical entities in the deep-time knowledge base. GSA 2021 Annual Meeting, Portland, OR. 
  5. 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.
  6. 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. 
  7. 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]
  8. 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. 
  9. 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. 
  10. Ma, C., Ma, X., Que, X., 2020. Deep-time Climate Database and Tailored Spatio-temporal Tools. ESIP Winter Meeting 2020. Bethesda, MD. Poster.
  11. 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. 
  12. Ma, X., 2019. Data visualization in mineral evolution studies. GSA 2019 Annual Meeting. Phoenix, AZ. Invited Oral Presentation.
  13. Ma, C., Ma, X., 2019. Deep time climate data. ESIP 2019 Summer Meeting. Tacoma, WA. Poster.
  14. 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.
  15. 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]
  16. 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.
  17. 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

  1. Ma, X., 2022. Semantics in the Open Science Network. The 2022 EarthCube Annual Meeting, San Diego, CA [15-minute lightning talk for a panel]
  2. 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]
  3. Ma, X., 2021. Temporal topology in the deep-time knowledge base. University of Idaho Computer Science Colloquium. [45 minutes] 
  4. 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]
  5. 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]
  6. Ma, X., 2020. Deep time knowledge graph and smart deep time dataset search. 2020 DDE and IODP Open Data Workshop. [20 minutes]
  7. 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]     
  8. 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]
  9. 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.
  10. 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
  11. 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]