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IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fahad Ahmed Satti ◽  
Musarrat Hussain ◽  
Jamil Hussain ◽  
Syed Imran Ali ◽  
Taqdir Ali ◽  
...  

2019 ◽  
Vol 47 (3) ◽  
pp. 502-519 ◽  
Author(s):  
Bo Wang ◽  
Jie Tang ◽  
Rui Zhang ◽  
Wei Ding ◽  
Deyu Qi

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 78817-78829 ◽  
Author(s):  
Dongfang Zhang ◽  
Yong Wang ◽  
Zhenling Liu ◽  
Shijie Dai
Keyword(s):  
Z Curve ◽  

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 122707-122721
Author(s):  
Kun Hao ◽  
Junchang Xin ◽  
Zhiqiong Wang ◽  
Keyan Cao ◽  
Guoren Wang
Keyword(s):  

2015 ◽  
Vol 71 (7) ◽  
pp. 2694-2719 ◽  
Author(s):  
Naila Karim ◽  
Khalid Latif ◽  
Zahid Anwar ◽  
Sharifullah Khan ◽  
Amir Hayat
Keyword(s):  

2014 ◽  
Vol 940 ◽  
pp. 449-452
Author(s):  
Ya Juan Yao ◽  
Fang Tian

GML is the encoding specification of geospatial data, more and more geospatial data are represented in GML documents. It’s efficient to use database technologies to manage and maintain the geospatial data described by GML. The index in a database can help to locate the tuples for a query. In order to query GML data efficiently, appropriate index structure should be designed. In this paper, a method to build path index for the GML document is proposed based on its storage schema. The path index records the sequences and levels of elements in the GML document. Tuples stored in tables can be quickly located for a query with the path index, and the structure information recorded in the path index can help to reconstruct the GML document.


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