# Big Data in Smart City: Management Challenges
## 4 Transformation to Gaminess Big Data Framework
### GANMINESS Management System (GAMINESS Streaming Approach)
(2019) [PERSON]; [PERSON]; [PERSON] Enhancing Sustainable Development through Web Based 3D Smart City Model Using GIS and BIM. Case Study: Sheikh Hamad City. _J. Geogr. Inf. Syst._**2019**, _11_, 3. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Integration of CityGML and Air Quality Spatio-Temporal Data Series via OGC SOS. In Proceedings of the Geospatial Sensor Webs Conference (GSW), Munster, Germany, 29-31 August 2016. [PERSON]; [PERSON]; [PERSON]; [PERSON] GeoSpark SQL: An Effective Framework Enabling Spatial Queries on Spark. _ISPRS Int. J. Geo-Inf._**2017**, \(6\), 285. [CrossRef]
* (26) [PERSON] File-centric organization of large LiDAR Point Clouds in a Big Data context. In Proceedings of the IQmulus Workshop--Processing Large Geospatial Data, Cardiff, UK, 8 July 2014. * (27) [PERSON]; [PERSON]; [PERSON] GeoSpark: A Cluster Computing Framework for Processing Large-Scale Spatial Data. In Proceedings of the ACM International Conference on Advances in Geographic Information Systems ACM SIGSPATIAL GIS 2015, Seattle, WA, USA, 3-6 November 2015. [CrossRef]
* (28) [PERSON]; [PERSON]; [PERSON] Change detection of mobile LIDAR data using cloud computing. _ISPRS Int. Arch. Photogramm. Remote Sens.__Spat. Inf. Sci._**2016**, 309-313. [CrossRef]
* (29) [PERSON]; [PERSON]; [PERSON] Model of Point Cloud Data Management System in Big Data Paradigm. _Int. J. Geo-Inf._**2018**, \(7\), 265. [CrossRef]
* (30) [PERSON]; [PERSON] A Standard Indoor Spatial Data Model--OGC IndoorGML and Implementation Approaches. _ISPRS Int. J. Geo-Inf._**2017**, \(6\), 116. [CrossRef]
* (31) [PERSON]; [PERSON]; [PERSON] Sideloading--Ingestion of large point clouds into the Apache Spark big data engine. _ISPRS Int. Arch. Photogramm. Remote Sens.__Spat. Inf. Sci._**2016**, 343-348. [CrossRef]
* (32) [PERSON]; [PERSON]; [PERSON] Parallel processing of big point clouds using Z-Order-based partitioning. _ISPRS Int. Arch. Photogramm. Remote Sens.__Spat. Inf. Sci._**2016**, 71-77. [CrossRef]
* (33) [PERSON]; [PERSON] Classification of big point cloud data using cloud computing. _ISPRS Int. Arch. Photogramm. Remote Sens.__Spat. Inf. Sci._**2015**, 553-557. [CrossRef]
* (34) [PERSON]; [PERSON] MapReduce: Simplified Data Processing on Large Clusters. In Proceedings of the OSDI'04: Sixth Symposium on Operating System Design and Implementation, San Francisco, CA, USA, 6-8 December 2004; pp. 137-150. [CrossRef]
* (35) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] The IQmulus urban showcase: Automatic tree classification and identification in huge mobile mapping point clouds. _ISPRS Int. Arch. Photogramm. Remote Sens.__Spat. Inf. Sci._**2016**, 301-307. [CrossRef]
* (36) [PERSON]; [PERSON]; [PERSON] Integrating IndoorGML and Indoor POI Data for Navigation Applications in Indoor Space. _J. Korean Surv. Soc._**2019**, _37_, 359-366. [CrossRef]
* (37) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] IoT technologiesfor smart cities. _IET Netw._**2018**, \(7\), 1-13. [CrossRef]
* (38) Open Geospatial Consortium. OGC _Sensor Web Enablement Initiative (SWE)_; SWE: Wayland, MA, USA, 2015; Available online: [[https://www.ogc.org/node/698](https://www.ogc.org/node/698)]([https://www.ogc.org/node/698](https://www.ogc.org/node/698)) (accessed on 13 May 2021). * (39) [PERSON]; [PERSON] Integrating dynamic data and sensors with semantic 3 DCity models in the context of Smart Cities. _ISPRS Ann. Photogramm. Remote Sens.__Spat. Inf. Sci._**2016**, \(4\), 32-38. [CrossRef]
* (40) [PERSON]; [PERSON] An Automatic Embedded Device Registration Procedure Based on the OGC SensorThings API. _Sensors_**2019**, _19_, 495. [CrossRef]
* (41) [PERSON]; [PERSON] Framework for Monitoring and Recognition of the Activities for Elderly People from Accelerometer Sensor Data Using Apache Spark. In _ICDSMLA 2019_; Springer: Singapore, 2020. [CrossRef]
* (42) [PERSON]; [PERSON]; [PERSON]; [PERSON] Real-Time Traffic Monitoring System Using Spark.