Siqiang Luo
ABSTRACT
Spatial object search is prevalent in map services (e.g., Google Maps). To rent an apartment, for example, one will take into account its nearby facilities, such as supermarkets, hospitals, and subway stations. Traditional keyword search solutions, such as the nearby function in Google Maps, are insufficient in expressing the often complex attribute/spatial requirements of users. Those require- ments, however, are essential to reflect the user search intention. In this paper, we propose the Spatial Exemplar Query (SEQ), which allows the user to input a result example over an interface inside the map service. We then propose an effective similarity measure to evaluate the proximity between a candidate answer and the given example. We conduct a user study to validate the effectiveness of SEQ. Our result shows that more than 88% of users would like to have an example assisted search in map services. Moreover, SEQ gets a user satisfactory score of 4.3/5.0, which is more than 2 times higher than that of a baseline solution.
- Gao Cong, Christian S Jensen, and Dingming Wu. 2009. Efficient retrieval of the top-k most relevant spatial web objects. VLDB, Vol. 2, 1 (2009), 337--348. Google Scholar
Digital Library
- Hao Li, Chee-Yong Chan, and David Maier. 2015. Query From Examples: An Iterative, Data-Driven Approach to Query Construction. VLDB, Vol. 8, 13 (2015), 2158--2169. Google ScholarDigital Library
- Junling Liu, Ke Deng, Huanliang Sun, Yu Ge, Xiaofang Zhou, and Christian S Jensen. 2017. Clue-based spatio-textual query. VLDB, Vol. 10, 5 (2017), 529--540. Google ScholarDigital Library
- Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, and Jihong Guan. 2012. DISKs: a system for distributed spatial group keyword search on road networks. VLDB, Vol. 5, 12 (2012), 1966--1969. Google ScholarDigital Library
- Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan, and Zheng Yong. 2014. Distributed Spatial Keyword Querying on Road Networks. EDBT. 235--246.Google Scholar
- Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, and Surajit Chaudhuri. 2015. S4: Top-k Spreadsheet-Style Search for Query Discovery SIGMOD. 2001--2016. Google ScholarDigital Library
- Dongxiang Zhang, Chee-Yong Chan, and Kian-Lee Tan. 2014. Processing spatial keyword query as a top-k aggregation query SIGIR. 355--364. Google ScholarDigital Library
Index Terms
- SEQ: Example-based Query for Spatial Objects
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