Xiaogang (Marshall) Ma is an assistant professor of computer science at the University of Idaho. He received his Ph.D. degree of Earth Systems Science and GIScience from University of Twente, Netherlands in 2011, and then completed postdoctoral training of Data Science at Rensselaer Polytechnic Institute. His research focuses on deploying data science in the Semantic Web to support cross-disciplinary collaboration and scientific discovery, with broad interests in complex systems in Earth and environmental sciences, data interoperability and provenance, and visualized exploratory analysis of Big and Small Data. Ma was one of the four invited early-career panelists at the 2016 International Data Week. He is active in international societies of data science and geoinformatics, including ACM SIGWEB, CODATA, ESIP, RDA, GSA, AGU and IAMG. Ma received the Science of Team Science (SciTS) Meritorious Contribution Award in 2018, the IAMG A.B. Vistelius Research Award in 2015, and the inaugural ICSU-WDS Data Stewardship Award in 2014.

Education

• Postdoctorate of Sloan DCO Data Science Postdoctoral Fellowship, Rensselaer Polytechnic Institute, 06/2012-06/2014
• Ph.D. in Earth Systems Science and GIScience, ITC, University of Twente, The Netherlands, 11/2011
• Dr.Eng. (with distinction) in Geoinformatics Engineering, China University of Geosciences, Wuhan, 12/2009
• B.Eng. (with distinction) in Land Resources Management, China University of Geosciences, Wuhan, 06/2002

Curriculum Vitae

• CV [updated on 04/22/2022]

Career

• Assistant Professor, Department of Computer Science, University of Idaho, 08/2016-Present
• Affiliate Faculty, Department of Geological Sciences, University of Idaho, 2018-Present
• Associate Research Scientist, Tetherless World Constellation, Rensselaer Polytechnic Institute, 06/2014-08/2016
• Postdoctoral Research Associate, Tetherless World Constellation, Rensselaer Polytechnic Institute, 06/2012-06/2014
• Adjunct Faculty, Department of Earth & Environmental Sciences, Rensselaer Polytechnic Institute, 01/2013-05/2013
• Researcher, University of Twente, The Netherlands, 12/2011-05/2012

Honors and Awards

• 2021, University of Idaho College of Engineering Outstanding Early Career Faculty Award
• 2021, Most Cited Articles (2017-2021), Computers & Geosciences, Elsevier
• 2019, Funding Friday Award, Federation of Earth Science Information Partners (my postdoc is leading author)
• 2019, Best Poster Award at the 2019 University of Idaho Computer Science Industrial Advisory Board Meeting (my student is leading author)
• 2018, Frontiers Spotlight Award Finalist (my paper is in one of the 10 shortlisted article collections)
• 2018, SciTS Meritorious Contribution Award, Science of Team Science (SciTS) 2018 Conference, Galveston, TX
• 2017, Guest Professor of Computer Science at China University of Geosciences, Wuhan
• 2016, Panelist, International Data Forum, Denver, CO
• 2015, NSF-EarthCube Distinguished Lecturer
• 2015, Andrei Borisovich Vistelius Research Award, International Association for Mathematical Geosciences
• 2015, Best Paper Nomination, Conference on Empirical Methods in Natural Language Processing (EMNLP)
• 2015, Vespucci Institute 2015 - Spatial Ontologies for e-Science
• 2014, Inaugural WDS Data Stewardship Award, International Council for Science-World Data System
• 2013, Funding Friday Award, Federation of Earth Science Information Partners
• 2012, Funding Friday Award, Federation of Earth Science Information Partners
• 2012, Councilor Nominee, International Association for Mathematical Geosciences
• 2011, Top 25 Hottest Articles (Jul.–Sept., 2011), Computers & Geosciences, Elsevier
• 2011–present, Travel Grants awarded by: NSF-EarthCube (3), NSF-RDA (1), NSF-EarthRates (1), CAES (1), A.P. Sloan Fdn. (8), W.M. Keck Fdn. (3), USGS (1), Univ. of Oxford (1), Columbia Univ. (2), Smithsonian Inst. (1), UCLA (1), McGill Univ. (1), CIW (1), GSA (1), Ohio State Univ. (1), ICSU-WDS (1), Google (1), IAMG (1), ESIP (1), CODATA (2), Global Young Academy (1), CUG (2)

1. 2021-2024: PI, EarthCube Capabilities: OpenMindat - Open Access and Interoperable Mineralogy Data to Broaden Community Access and Advance Geoscience Research, funded by National Science Foundation (NSF) Mindat Website
2. 2020-2023: Co-PI, GeoWeaver: Building an Open-Source Platform for Enabling Ad Hoc Management, Open Sharing, and Robust Reuse of NASA Earth Data-driven Hybrid AI Workflows, funded by National Aeronautics and Space Administration (NASA)
3. 2020-2024: Lead PI, RII Track-2 FEC: Leveraging Big Data to Improve Prediction of Tick-Borne Disease Patterns and Dynamics, funded by National Science Foundation (NSF) Project Website
4. 2020-2021: PI, REU Supplement to NSF OAC CSSI #1835717, funded by National Science Foundation (NSF)
5. 2019-2020: Co-PI, A paleoclimate database, funded by Earth Science Information Partners (ESIP) (my postdoc is PI)
6. 2019-2019, Co-PI, FAIRTool.org toward better Earth science data stewardship, funded by Earth Science Information Partners (ESIP) (my PhD student is PI)
7. 2018-2019: PI, Grant to Support Attendees of the 2019 U.S. Semantic Technologies Symposium (US2TS), funded by the Artificial Intelligence Journal, Elsevier
8. 2018-2022: PI, Elements: Software: HDR: A knowledge base of deep time to facilitate automated workflows in studying the co-evolution of the geosphere and biosphere, funded by National Science Foundation (NSF) Project Website
9. 2018-2019: PI, US2TS: U.S. Semantic Technologies Symposium, funded by Alfred P. Sloan Foundation
10. 2017-2018: PI, Student Support for the 2018 U.S. Semantic Technologies Symposium (US2TS), funded by National Science Foundation (NSF)
11. 2017-2018: PI, Collecting data standards among scientific disciplines and building a catalogue, sub-award from Research Data Alliance (NSF ACI-1349002)
12. 2017-2018: PI, Leveraging data science to explore co-relationships between elements and minerals, funded by UI ORED Seed Grant
13. 2016-2018: Affiliated Scientist, MILES: Managing Idaho's Landscapes for Ecosystem Services, funded by National Science Foundation (NSF) through Idaho EPSCoR
14. 2015-2018: Affiliated Scientist, DTDI: Deep Time Data Infrastructure, funded by W. M. Keck Foundation
15. 2015: Co-PI and Project Leader, Research Data Alliance Adoption Initiatives, funded by National Science Foundation (NSF)
16. 2012-2016: Sub-Project Leader, DCO-DS: Deep Carbon Observatory – Data Science, funded by Alfred P. Sloan Foundation
17. 2013-2014: Sub-Project Leader, INTEROP ECO-OP: Employing Cyber Infrastructure Data Technologies to Facilitate IEA for Climate Impacts in NE & CA LME's (#3 & #7), funded by National Science Foundation (NSF)
18. 2013-2014: Project Leader, GeoData II 2014: EarthCube Assessment of the 2013 State of Geoinformatics: A Community and Interagency Exploration of the Life Cycle, Citation, and Integration of Geoscience Data, funded by National Science Foundation (NSF)
19. 2013-2014: Co-PI, Semantic Similarity Computation and Concept Mapping in the Earth and Environmental Sciences, funded by Foundation for Earth Science
20. 2013-2016: Member, Deep Carbon Observatory Extreme Physics and Chemistry (DCO-EPC) Computer Cluster, funded by Carnegie Institution of Washington
21. 2013-2014: Consultant, RDESC: Resource Discovery for Extreme Scale Collaboration, funded by Department of Energy (DoE)
22. 2012-2014: Project Leader, GCIS-IMSAP: Global Change Information System – Information Modeling and Semantic Application Prototype, funded by National Science Foundation (NSF) and University Corporation for Atmospheric Research (UCAR)
23. 2012-2013: PI, Exploratory Visualization of Earth Science Data in a Semantic Web Context, funded by Earth Science Information Partners (ESIP)

Peer-Reviewed Journal Papers

1. Kale, A., Nguyen, T., Harris Jr., F.C., Li, C., Zhang, J., Ma, X., 2022. Provenance documentation to enable explainable and trustworthy AI: A literature review. Data Intelligence. In Press. DOI
2. Ma, X., 2022. Knowledge graph construction and application in geosciences: A review. Computers & Geosciences, 161, 105082. DOI
3. 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. DOI
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. DOI
5. He, Z., Zhang, C., Ma, X., Liu, G., 2021. Hexadecimal aggregate approximation representation and classification of time series data. Algorithms, 14(12), 353. DOI
6. Brantley, S., Wen, T., Agarwal, D., Catalano, J., Schroeder, P.A., Lehnert, K., Varadharajan, C., Pett-Ridge, J., Engle, M., Castronova, A.M., Hopper, R., Ma, X., Jin, L., McHenry, K., Aronson, E., Shaughnessy, A.R., Derry, L.A., Richardson, J., Bales, J., Pierce, E.M. 2021. A Vision for the Future Low-Temperature Geochemical Data-scape. Computers & Geosciences, 157, 104933. DOI
7. Kong, C., Tian, Y., Ma, X., Weng, Z., Zhang, Z., Xu, K., Landslide susceptibility assessment based on different machine learning methods in Zhaoping county of eastern Guangxi. Remote Sensing, 13(18), 3573. DOI
8. Cui, Z., Chen, Q., Liu, G., Mariethoz, G., Ma, X., 2021. Hybrid Parallel Framework for Multiple-point Geostatistics on Tianhe-2: A Robust Solution for Large-scale Simulation. Computers & Geosciences, 157, 104923. DOI
9. 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. DOI
10. Cui, Z., Chen, Q., Liu, G., Ma, X., Que, X., 2021. Multiple-point geostatistical simulation based on conditional conduction probability. Stochastic Environmental Research and Risk Assessment, 35, 1355–1368. DOI
11. Que, X., Ma, C., Ma, X., Chen, Q., 2021. Parallel Computing for Fast Spatiotemporal Weighted Regression. Computers & Geosciences, 150, 104723. DOI
12. Alghushairy, O., Alsini, R., Soule, T., Ma, X., 2021. A review of local outlier factor algorithms for outlier detection in big data streams. Big Data and Cognitive Computing, 5(1), 1. DOI
13. Que, X., Ma, C., Ma, X., Chen, Q., 2020. A Spatiotemporal Weighted Regression Model (STWR v1.0) for Analyzing Local Non-stationarity in Space and Time. Geoscience Model Development, 13, 6149-6164. DOI
14. Alsini, R., Almakrab, A., Ibrahim, A., Ma, X., 2020. Improving the Outlier Detection Method in Concrete Mix Design by Combining Isolation Forest and Local Outlier Factor. Construction and Building Materials, 270, 121396. DOI
15. Alshamrani, R., Althbiti, A., Alshamrani, Y., Ma, X., 2020. Model-Driven Decision-Making in Multiple Sclerosis Research: Existing Works and Latest Trends. Patterns, 1(8), 100121. DOI
16. He, Z., Long, S., Ma, X., Zhao, H., 2020. A boundary distance-based symbolic aggregate approximation method for time series data. Algorithm. 13(11), 284. DOI
17. Ma, X., Ma, C., Wang, C., 2020. A new structure for representing and tracking version information in a deep time knowledge graph. Computers & Geosciences, 145(12), 104620. DOI
18. Chen, Q., Liu, G., Ma, X., Li, X., He Z., 2020. 3D stochastic modeling framework for Quaternary sediments using multiple-point statistics: a case study in Minjiang Estuary area, Southeast China. Computers & Geosciences. 136(3), 104404. DOI
19. He, Z., Liu, G., Ma, X., Chen, C., 2019. GeoBeam: A Distributed Computing Framework for Spatial Data. Computers & Geosciences. 131(10), 15-22. DOI
20. Zeng, Y., Su, Z., Barmpadimos, I., Perrels, A., Poli, P., Boersma, K.f., Frey, A., Ma, X., de Bruin, K., Gossen, H., Timmermans, W., 2019. Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables. Remote Sensing. 11(10), 1186. (Open Access) DOI
21. Chen, Q., Liu, G., Ma, X., Zhang, J., Zhang, X., 2019. Conditional multiple-point geostatistical simulation for unevenly distributed sample data. Stochastic Environmental Research and Risk Assessment. 33, 973-987. DOI
22. Hazen, R.M., Downs, R.T., Eleish, A., Fox, P., Gagne, O., Golden, J.J., Grew, E.S., Hummer, D.R., Hystad, G., Krivovichev, S.V., Li, C., Liu, C., Ma, X., Morrison, S.M., Pan, F., Pires, A.J., Prabhu, A., Ralph, J., Rumyon, S.E., Zhong, H., 2019. Data-driven discovery in mineralogy: Recent advances in data resources, analysis, and visualization. Engineering. In Press. 5(3), 397-405. DOI
23. Ma, X., 2019. Geo-Data Science: Leveraging Geoscience Research with Geoinformatics, Semantics and Open Data. Acta Geologica Sinica (English Edition), 93(s1), 44-47. (Open Access) DOI
24. 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 (English Edition), 93(s1), 55-55. (Open Access) DOI
25. Chen, Q., Mariethoz, G., Liu, G., Comunian, A., Ma, X., 2018. Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross-sections. Hydrology and Earth System Sciences, 22, 6547-6566. DOI
26. Chen, Q., Liu, G., Ma, X., Yao, Z., Tian, Y., 2018. A virtual globe-based integration and visualization framework for aboveground and underground 3D spatial objects. Earth Science Informatics, 11 (4), 591-603. DOI
27. Ma, X., Fu, L., West, P., Fox, P., 2018. Ontology Usability Scale: Context-aware metrics for the effectiveness, efficiency and satisfaction of ontology uses. Data Science Journal, 17, 10. (Open Access) DOI
28. He, Z., Ma, X., 2018. A distributed indexing method for timeline similarity query, Algorithms, 11 (4), 41. (Open Access) DOI
29. Wang, C., Ma, X., Chen, J., 2018. Ontology-driven data integration and visualization for exploring regional geologic time and paleontological information, Computers & Geosciences, 115, 12-19. (Open Access) DOI
30. Wang, C., Ma, X., Chen, J., 2018. The application of data pre-processing technology in the geoscience big data. Acta Petrologica Sinica, 34 (2), 303-313. (In Chinese with English Abstract)
31. Chen, Q., Liu, G., Ma, X., Mariethoz, G., He, Z., Tian, Y., Weng, Z., 2018. Local curvature entropy-based 3D terrain representation using a comprehensive Quadtree. ISPRS Journal of Photogrammetry and Remote Sensing, 139, 30-45. DOI
32. Wang, C., Ma, X., Chen, J., Chen, J., 2018. Information extraction and knowledge graph construction from geoscience literature. Computers & Geosciences, 112, 112-120. DOI
33. Ma, X., Hummer, D., Golden, J.J., Fox, P.A., Hazen, R.M., Morrison, S.M., Downs, R.T., Madhikarmi, B.L., Wang, C., Meyer, M.B., 2017. Using Visual Exploratory Data Analysis to Facilitate Collaboration and Hypothesis Generation in Cross-Disciplinary Research. International Journal of Geo-Information 6 (11), 368. (Open Access) DOI
34. Ma, X., 2017. Linked Geoscience Data in practice: where W3C standards meet domain knowledge, data visualization and OGC standards. Earth Science Informatics, 10(4), 429-441. DOI
35. Chen, Q., Liu, G., Ma, X., Li, X., He, Z., 2017. Fractal generator for efficient production of random planar patterns and symbols in digital mapping. Computers & Geosciences, 105, 91-102. DOI
36. Ma, X., West, P., Zednik, S., Erickson, J., Eleish, A., Chen, Y., Wang, H., Zhong, H., Fox, P., 2017. Weaving a knowledge network for Deep Carbon Science. Frontiers in Earth Science, 5, 36. (Open Access) DOI
37. Ma, X., Erickson, J.S., Zednik, S., West, P., Fox, P., 2016. Semantic specification of data types for a world of Open Data. ISPRS International Journal of Geo-Information 5 (3), 38. (Open Access) DOI
38. Zheng, J., Fu, L., Ma, X., Fox, P., 2015. SEM+: tool for discovering concept mapping in Earth science related domain. Earth Science Informatics 8 (1), 95-102. DOI
39. Ma, X., Fox, P., Narock, T., Wilson, B., 2015. Semantic e-Science. Earth Science Informatics 8 (1), 1-3. DOI
40. Ma, X., Zheng, J.G., Goldstein, J., Zednik, S., Fu, L., Duggan, B., Aulenbach, S., West, P., Tilmes, C., Fox, P., 2014. Ontology engineering in provenance enablement for the National Climate Assessment. Environmental Modelling & Software 61, 191-205. DOI
41. Ma, X., Fox, P., Tilmes, C., Jacobs, K., Waple, A., 2014. Capturing and presenting provenance of global change information. Nature Climate Change 4 (6), 409-413. DOI
42. Ma, X., Fox, P., 2014. A jigsaw puzzle layer cake of spatial data. EOS, Transactions American Geophysical Union 95 (19), 161–161. DOI
43. Ma, X., Fox, P., Rozell, E., West, P., Zednik, S., 2014. Ontology dynamics in a data life cycle: challenges and recommendations from a geoscience perspective. Journal of Earth Science 25 (2), 407–412. DOI
44. Tilmes, C., Fox, P., Ma, X., McGuinness, D., Privette, A.P., Smith, A., Waple, A., Zednik, S., Zheng, J., 2013. Provenance representation for the National Climate Assessment in the Global Change Information System. IEEE Transactions on Geoscience and Remote Sensing 51 (11), 5160-5168. DOI
45. Ma, X., Fox, P., 2013. Recent progress on geologic time ontologies and considerations for future works. Earth Science Informatics 6 (1), 31–46. DOI
46. He, Z., Kraak, M.-J., Huisman, O., Ma, X., Xiao, J., 2013. Parallel indexing technique for spatio-temporal data. ISPRS Journal of Photogrammetry and Remote Sensing 78, 116–128. DOI
47. Ma, X., Carranza, E.J.M., Wu, C., van der Meer, F.D., 2012. Ontology-aided annotation, visualization and generalization of geological time scale information from online geological map services. Computers & Geosciences 40 (3), 107–119. DOI
48. Ma, X., Asch, K., Laxton, J.L., Richard, S.M., Asato, C.G., Carranza, E.J.M., van der Meer, F.D., Wu, C., Duclaux, G., Wakita, K., 2011. Data exchange facilitated. Nature Geoscience 4 (12), 814–814. DOI
49. Ma, X., Carranza, E.J.M., Wu, C., van der Meer, F.D., Liu, G., 2011. A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps. Computers & Geosciences 37 (10), 1602–1615. DOI
50. Ma, X., Wu, C., Carranza, E.J.M., Schetselaar, E.M., van der Meer, F.D., Liu, G., Wang, X., Zhang, X., 2010. Development of a controlled vocabulary for semantic interoperability of mineral exploration geodata for mining projects. Computers & Geosciences 36 (12), 1512–1522. DOI
51. Ma, X., Carranza, E.J.M., van der Meer, F.D., Wu, C., Zhang, X., 2010. Algorithms for multi-parameter constrained compositing of borehole assay intervals from economic aspects. Computers & Geosciences 36 (7), 945–952. DOI
52. Ma, X., Wang, X., Wu, C., Ju, F., 2007. Metadata hierarchy in integrated geoscientific database for regional mineral prospecting. Geo-spatial Information Science 10 (3), 223–227. DOI

Books & Book Chapters

1. Althbiti, A., Ma, X., 2019. Collaborative Filtering. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
2. Alowairdhi, A., Ma, X., 2019. Data Brokers and Data Services. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
3. Alghushairy, O., Ma, X., 2019. Data Storage. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
4. Alsini, R., Ma, X., 2019. Data Streaming. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
5. Alshamrani, R., Ma, X., 2019. Deep Learning. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. 5pp. In Press. DOI
6. Wang, C., Ma, X., 2019. Text Mining to Facilitate Domain Knowledge Discovery. In: Mouatasim, A.E., (ed.) Text Mining - Analysis, Programming and Application. IntechOpen, London. In Press. (Open Access) DOI
7. Ma, X., 2019. Data-Information-Knowledge-Action Model. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
8. Ma, X., 2019. Data Repository. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
9. Ma, X., 2019. Metadata. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
10. Ma, X., 2019. Spatial Data. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
11. Ma, X., 2019. Visualization. In: Schintler, L.A., McNeely, C.L. (eds.) Encyclopedia of Big Data. Springer, Cham, Switzerland. In Press. DOI
12. Ma, X., 2018. Data Science for Geoscience: Leveraging Mathematical Geosciences with Semantics and Open Data. In Sagar, B.S.D., Cheng, Q., Agterberg, F.D. (eds.) Handbook of Mathematical Geosciences: Fifty Years of IAMG. Springer. 16pp. In Press.
13. Ma, X., Beaulieu, S.E., Fu, L., Fox, P., Di Stefano, M., West, P., 2017. Documenting Provenance for Reproducible Marine Ecosystem Assessment in Open Science. In: Diviacoo, P., Glaves, H.M., Leadbetter, A. (eds.) Oceanographic and Marine Cross-Domain Data Management for Sustainable Development. IGI Global, Hershey, PA, USA. pp.100-126. DOI
14. Ma, X., Chen, Y., Wang, H., Zheng J.G., Fu, L., West, P., Erickson, J.S., Fox, P., 2015. Data visualization in the Semantic Web. In: Narock, T., Fox, P., (eds.) The Semantic Web in Earth and Space Science: Current Status and Future Directions. IOS Press, Berlin. pp. 149-167. DOI
15. Ma, X., Fox, P., Narock, T., Wilson, B., (Eds.) 2015. Semantic e-Science. Special Issue of Earth Science Informatics, Volume 8, Issue 1, Springer, 146 pp. Link
16. Wu, C., Liu G., Tian, Y., Mao, X., He, Z., Zhang, X., Liu, J., Weng, Z., Zhang, Z., Li, X., Li, Z., Xu, K., Kong, C., Li, X., Qi, G., Ma, X., 2014. An Outline of Geological Information Science and Technology. Science Press, Beijing, China. 521 pp. (In Chinese)

Peer-Reviewed Conference Papers

1. Alghushairy, O., Alsini, R., Ma, X., Soule, T., 2020. Improving the Efficiency of Genetic-based Incremental Local Outlier Factor Algorithm for Network Intrusion Detection. The 4th International Conference on Applied Cognitive Computing. Las Vegas, NV, USA. In press.
2. Alsini, R., Alghushairy, O., Ma, X., Soule, T., 2020. A Grid Partition-based Local Outlier Factor for Data Stream Processing. The 4th International Conference on Applied Cognitive Computing. Las Vegas, NV, USA. In press.
3. Alghushairy, O., Alsini, R., Ma, X., Soule, T., 2020. A Genetic-Based Incremental Local Outlier Factor Algorithm for Efficient Data Stream Processing. Proceedings of the ICCDA 2020 Conference, San Jose, CA. pp. 38-49. doi: 10.1145/3388142.3388160.
4. Wyborn, L., Cox, S., Hudson, S., Ma, X., 2018. The role of the International Science Council and CODATA in Enabling Global Transdisciplinary Integration of Data in Support of New Research Horizons. International Data Week 2018, Gaborone, Botswana. 3pp.
5. Mou, X., Jamil, H., Ma, X., 2017. VisFlow: A visual database integration and workflow querying system. Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE 2017). San Diego, CA, USA. 2pp. [Finalist of Demo Paper Track]
6. Ma, X., 2015. Geoinformatics in the Semantic Web. In: Schaeben, H., Delgado, R.T., van den Boogaart, K.G., van den Boogaart, R. (eds.) Proceedings of IAMG 2015, Freiberg, Germany, pp 18-26. [Andrei B. Vistelius Award Invited Article]
7. Tilmes, C., Wolfe, R.E., Duggan, B., Aulenbach, S., Goldstein, J.C., Ma, X., Zednik, S., 2015. Supporting Trust with Provenance of the Findings of the National Climate Assessment. In: Proceedings of the Method Workshop at ISWC 2015, Bethlehem, PA. 4 pp.
8. Ma, X., West, P., Erickson, J., Zednik, S., Chen, Y., Wang H., Zhong H., Fox, P., 2015. From data portal to knowledge portal: Leveraging semantic technologies to support interdisciplinary studies. In: Proceedings of the Diversity++ Workshop at ISWC 2015, Bethlehem, PA. 6 pp.
9. Wang, H., Zheng, J.G., Ma, X., Fox P., Ji, H., 2015. Language and Domain Independent Entity Linking with Quantified Collective Validation. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP2015). 10 pp. [Best Paper Nomination]
10. Ma, X., Fu, L., Fox, P., Liu, G., 2014. An integrated golden spike information portal enabled by data visualization and semantic web technologies. In: Proceedings of IAMG 2014, New Delhi, India, 5 pp.
11. Ma, X., Chen, Y., Wang, H., Erickson, J.S., West, P., Fox, P., 2014. Deep Carbon Virtual Observatory: A cyber-enabled platform for linked science. In: Proceedings of SciDataCon2014, New Delhi, India, 3 pp.
12. Ma, X., Carranza, E.J.M., Wu, C., van der Meer, F.D., 2011. Practicing an ontology spectrum for geological data interoperability. In: Proceedings of IAMG'11, Salzburg, Austria,14 pp.
13. Ma, X., Carranza, E.J.M., van der Meer, F.D., Wu, C., 2010. Integrating data-flow analysis and object-oriented analysis for compositing of borehole metal-grade intervals. In: Proceedings of IAMG'10, Budapest, Hungary, 9 pp.

Other Publications

• Conference abstracts and presentations, invited lectures and seminars are listed in CV.

Guest Editor

• Earth Science Informatics (2015, special issue ‘Semantic e-Science’)

Associate Editor

• Computers & Geosciences
• Applied Computing & Geosciences

Editorial Board Member

• Earth Science Informatics
• Data Science Journal
• International Journal of Information Retrieval Research