Textually Relevant Spatial Skylines
Textually Relevant Spatial Skylines
复制标题
文本相关的空间天际线
DOI:
10.1109/tkde.2015.2465374
复制
发表时间:
2016
期刊:
影响因子:
--
通讯作者:
Nikos Mamoulis
中科院分区:
文献类型:
--
作者:
Jieming Shi;Dingming Wu;Nikos Mamoulis
We study the modeling and evaluation of a spatio-textual skyline (STS) query, in which the skyline points are selected not only based on their distances to a set of query locations, but also based on their relevance to a set of query keywords. STS is especially relevant to modern applications, where points of interest are typically augmented with textual descriptions. We investigate three models for integrating textual relevance into the spatial skyline. Among them, model STD, which combines spatial distance with textual relevance in a derived dimensional space, is found to be the most effective one. STD computes a skyline which not only satisfies the intent of STS, but also has a small and easy-to-interpret size. We propose an efficient algorithm for computing STD-based skylines, which operates on an IR-tree that indexes the data. The effectiveness of our STD model and the efficiency of the proposed algorithm are evaluated on real data sets.
登录
查看更多内容
DOI:
10.1145/1559845.1559897
发表时间:
2009-06
期刊:
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
影响因子:
--
作者:
Shiming Zhang;N. Mamoulis;D. Cheung
通讯作者:
Shiming Zhang;N. Mamoulis;D. Cheung
DOI:
10.1109/icde.2011.5767861
发表时间:
2011-04
期刊:
2011 IEEE 27th International Conference on Data Engineering
影响因子:
--
作者:
Dingming Wu;Man Lung Yiu;Christian S. Jensen;G. Cong
通讯作者:
Dingming Wu;Man Lung Yiu;Christian S. Jensen;G. Cong
DOI:
10.1145/1516360.1516479
发表时间:
2009-03
期刊:
--
影响因子:
--
作者:
David Fuhry;R. Jin;Donghui Zhang
通讯作者:
David Fuhry;R. Jin;Donghui Zhang
DOI:
10.1145/1412331.1412343
发表时间:
2008-11
期刊:
ACM Trans. Database Syst.
影响因子:
--
作者:
Ilaria Bartolini;P. Ciaccia;M. Patella
通讯作者:
Ilaria Bartolini;P. Ciaccia;M. Patella
DOI:
10.1016/b978-155860869-6/50032-9
发表时间:
2002-08
期刊:
--
影响因子:
--
作者:
Donald Kossmann;Frank Ramsak;S. Rost
通讯作者:
Donald Kossmann;Frank Ramsak;S. Rost