@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}, }