Indexing Temporal XML Using Interval-Tree Index

Author(s):  
Gao Dandan ◽  
Wang Xinjun ◽  
Deng Li
Keyword(s):  
2010 ◽  
Vol 32 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Bin CUI ◽  
Yan-fei Lü ◽  
Xue-xuan CHEN
Keyword(s):  

2019 ◽  
Vol 18 (5s) ◽  
pp. 1-20
Author(s):  
Yu-Pei Liang ◽  
Tseng-Yi Chen ◽  
Yuan-Hao Chang ◽  
Shuo-Han Chen ◽  
Kam-Yiu Lam ◽  
...  

2018 ◽  
Vol 72 (2) ◽  
pp. 430-446
Author(s):  
Shuaidong Jia ◽  
Zeyuan Dai ◽  
Lihua Zhang

Due to the limitations of the existing methods (for example, the route binary tree method) that can only automatically generate routes based on a single chart, a method for automatically generating the shortest distance route based on an obstacle spatial database is proposed. Using this proposed method, the route between two arbitrary points at sea can be automatically generated. First, the differences in accuracy and updating time of charts are quantitatively analysed. Next, the mechanism for updating obstacles is designed, an obstacle spatial database is constructed, and the obstacle data extracted from multiple charts are fused. Finally, considering the effect of efficiency on the amount of obstacle data, a route window and an improved R-tree index are designed for quickly extracting and querying the obstacle database. The experimental results demonstrate that compared with existing methods, the proposed method can generate the shortest distance between two arbitrary points at sea and eliminates the limitation of the area of the chart. In addition, with data from multiple charts, the route generated by the proposed method is more reliable than that of the existing methods, and it is more efficient.


2017 ◽  
Vol 9 (6) ◽  
pp. 25-36 ◽  
Author(s):  
Esraa Rslan ◽  
Hala Abdel Hameed ◽  
Ehab Ezzat

2013 ◽  
Vol 441 ◽  
pp. 691-694
Author(s):  
Yi Qun Zeng ◽  
Jing Bin Wang

With the rapid development of information technology, data grows explosionly, how to deal with the large scale data become more and more important. Based on the characteristics of RDF data, we propose to compress RDF data. We construct an index structure called PAR-Tree Index, then base on the MapReduce parallel computing framework and the PAR-Tree Index to execute the query. Experimental results show that the algorithm can improve the efficiency of large data query.


Author(s):  
Yinglian Zhou ◽  
Jifeng Chen

Driven by experience and social impact of the new life, user preferences continue to change over time. In order to make up for the shortcomings of existing geographic social network models that often cannot obtain user dynamic preferences, a time-series geographic social network model was constructed to detect user dynamic preferences, a dynamic preference value model was built for user dynamic preference evaluation, and a dynamic preferences group query (DPG) was proposed in this paper . In order to optimize the efficiency of the DPG query algorithm, the UTC-tree index user timing check-in record is designed. UTC-tree avoids traversing all user check-in records in the query, accelerating user dynamic preference evaluation. Finally, the DPG query algorithm is used to implement a well-interacted DPG query system. Through a large number of comparative experiments, the validity of UTC-tree and the scalability of DPG query are verified.


Author(s):  
Marlene Goncalves ◽  
Alberto Gobbi

Location-based Skyline queries select the nearest objects to a point that best meet the user's preferences. Particularly, this chapter focuses on location-based Skyline queries over web-accessible data. Web-accessible may have geographical location and be geotagged with documents containing ratings by web users. Location-based Skyline queries may express preferences based on dynamic features such as distance and changeable ratings. In this context, distance must be recalculated when a user changes his position while the ratings must be extracted from external data sources which are updated each time a user scores an item in the Web. This chapter describes and empirically studies four solutions capable of answering location-based Skyline queries considering user's position change and information extraction from the Web inside an area search around the user. They are based on an M-Tree index and Divide & Conquer principle.


2019 ◽  
Vol E102.D (12) ◽  
pp. 2441-2450
Author(s):  
Dokeun LEE ◽  
Seongjin LEE ◽  
Youjip WON

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