WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10998,
	  title     = { Semantic Spatial Objects Data Structure for Spatial Access Method},
	  author    = {Kalum Priyanath Udagepola and  Zuo Decheng and  Wu Zhibo and  Yang Xiaozong},
	  country	= {},
	  institution	= {},
	  abstract     = {Modern spatial database management systems require a unique Spatial Access Method (SAM) in order solve complex spatial quires efficiently. In this case the spatial data structure takes a prominent place in the SAM. Inadequate data structure leads forming poor algorithmic choices and forging deficient understandings of algorithm behavior on the spatial database. A key step in developing a better semantic spatial object data structure is to quantify the performance effects of semantic and outlier detections that are not reflected in the previous tree structures (R-Tree and its variants). This paper explores a novel SSRO-Tree on SAM to the Topo-Semantic approach. The paper shows how to identify and handle the semantic spatial objects with outlier objects during page overflow/underflow, using gain/loss metrics. We introduce a new SSRO-Tree algorithm which facilitates the achievement of better performance in practice over algorithms that are superior in the R*-Tree and RO-Tree by considering selection queries.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {2},
	  year      = {2007},
	  pages     = {328 - 335},
	  ee        = {https://publications.waset.org/pdf/10998},
	  url   	= {https://publications.waset.org/vol/2},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 2, 2007},
	}