1. Toomanian, A. (2012) Methods to Improve and Evaluate Spatial Data Infrastructures. Lund University, Sweden. Available at: http://www.lunduniversity.lu.se/lup/publication/40d93fc-98ca-4f12-becd-a0e8d25c9048. 2. Li, D., Wang, S. and Li, D. (2016) Spatial data mining : theory and application. Available at: http://www.springer.com/us/book/9783662485361 (Accessed: 28 August 2017). 3. Talia, D. and Trunfio, P. (2013) Service-oriented distributed knowledge discovery. CRC Press. [ DOI:10.1201/b12990] 4. Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic information science and systems. John Wiley & Sons. 5. Omidipoor, M., Toomanian, A., & Samani, N. N. (2018, June). Towards Spatial Knowledge Infrastructure (SKI): Technological Understanding. In Proceedings of the 21st AGILE International Conference on Geographic Information Science, Lund, Sweden (pp. 12-15). 6. Miller, H. J., & Han, J. (2009). Geographic data mining and knowledge discovery. CRC press. [ DOI:10.1201/9781420073980] 7. Rajabifard, A., Feeney, M.-E. F. and Williamson, I. P. (2002) 'Future directions for SDI', International Journal of Applied Earth Observation and Geoinformation. Elsevier, 4(1), pp. 11-22. [ DOI:10.1016/S0303-2434(02)00002-8] 8. Williamson, I. P., Rajabifard, A. and Feeney, M.-E. F. (2003) Developing spatial data infrastructures : from concept to reality. Taylor & Francis. [ DOI:10.1201/9780203485774] 9. Mansourian, A., Rajabifard, A., Valadan-Zoje, M. and Williamson, I. (2006) 'using SDI and web-based system to facitilate disaster management', Computers & Geosciences, 32(3), pp. 303-315. doi: http://dx.doi.org/10.1016/j.cageo.2005.06.017. [ DOI:10.1016/j.cageo.2005.06.017] 10. Kargupta, H. (2009) Next generation of data mining. CRC Press. [ DOI:10.1201/9781420085877] 11. Li, S., Dragićević, S. and Veenendaal, B. (2011) Advances in web-based GIS, mapping services and applications. CRC Press/Balkema. [ DOI:10.1201/b15452] 12. Yue, P. (2013) Semantic web-based intelligent geospatial web services, springer. Available at: http://link.springer.com/content/pdf/10.1007/978-1-4614-6809-7.pdf. 13. Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., ... & Cheng, T. (2016). Geospatial big data handling theory and methods: A review and research challenges. ISPRS journal of Photogrammetry and Remote Sensing, 115, 119-133. [ DOI:10.1016/j.isprsjprs.2015.10.012] 14. Dalkir, K. (2013). Knowledge management in theory and practice: Routledge. [ DOI:10.4324/9780080547367] 15. Easterby-Smith, M., & Lyles, M. A. (Eds.). (2011). Handbook of organizational learning and knowledge management. John Wiley & Sons. 16. Rubenstein-Montano, B., Liebowitz, J., Buchwalter, J., McCaw, D., Newman, B., Rebeck, K., & Team, T. K. M. M. (2001). A systems thinking framework for knowledge management. Decision support systems, 31(1), 5-16. [ DOI:10.1016/S0167-9236(00)00116-0] 17. Zhong, N. and Zhou, L. (1999) Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings. Springer. [ DOI:10.1007/3-540-48912-6] 18. Omidipoor, M., Toomanian, A., Neysani Samany, N., & Mansourian, A. (2020). Knowledge discovery web service for spatial data infrastructures. ISPRS International Journal of Geo-Information, 10(1), 12. [ DOI:10.3390/ijgi10010012] 19. Alkathiri, M., Jhummarwala, A., & Potdar, M. B. (2019). Multi-dimensional geospatial data mining in a distributed environment using MapReduce. Journal of Big Data, 6(1), 82. [ DOI:10.1186/s40537-019-0245-9] 20. Li, Z., Gui, Z., Hofer, B., Li, Y., Scheider, S., & Shekhar, S. (2020). Geospatial information processing technologies. Manual of digital earth, 191-227. [ DOI:10.1007/978-981-32-9915-3_6] 21. Jo, J., & Lee, K. W. (2018). High-performance geospatial big data processing system based on MapReduce. ISPRS International Journal of Geo-Information, 7(10), 399. [ DOI:10.3390/ijgi7100399]
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