000			01808nab a22002177i 4500
999			_c90396 _d90396
003			CITU
005			20250509093123.0
008			250505c2020 ph |||p| |||| 00| 0 eng d
100	1		_aMontejo, Jaye Renzo. _eauthor
245	1	0	_aImproving spatial search using a graph database and Uber H3 / _cJaye Renzo Montejo, Irvin Kean Paulus Paderes, Ligayah Leah Figueroa.
264		4	_c2020
520			_aWith the rise in popularity of applications about ride-sharing, food delivery, courier service, and any subject that caters in fulfilling the needs of an on-demand economy, access to spatial information in real-time becomes an important aspect. To achieve this, spatial databases are used to store and process location information that are consumed by these applications. Normally, these databases use relational modelling. This research proposes the use of hexagonal discrete global grid systems in graph databases in order to improve upon existing spatial databases. In measuring the query performance, a geofence surrounding Quezon City, Philippines was created and various amenities within the area were extracted then used as the dataset. Bounding box search queries were then performed on this dataset. A working implementation of a graph-powered spatial database with a hexagon discrete global grid system called H3 was presented, and it was shown that this setup can pro-duce lower query execution times at scale than those of relational databases
650		0	_aSpatial data infrastructure.
650		0	_aGraph databases.
650		0	_aGeodatabases.
650		0	_aGeographic information systems.
700	1		_aPaderes, Irvin Kean Paulus. _eauthor
700	1		_aFigueroa, Ligayah Leah. _eauthor
773			_tPhilippine Computing Journal _gvol. 15, no. 2: (Dec. 2020), pages 1-6.
942			_2ddc _cART