SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects
Summary: SWORS enables efficient retrieval of spatial web objects that combine geo-location with textual descriptions. It defines LkT (location-aware top-k text) and SKG (spatial keyword group) queries to balance proximity, text relevance, keyword coverage, and inter-object distance, with browser and mobile map interfaces and real-data validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Xin Cao
- 2. Gao Cong
- 3. Christian S. Jensen
- 4. Jun Jie Ng
- 5. Beng Chin Ooi
- 6. Nhan-Tue Phan
- 7. Dingming Wu
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,923 | Towards Personalized Maps: Mining User Preferences from Geo-textual Data | 2016 | VLDB | 4.427232e-05 |
| 12,067 | GroupFinder: A New Approach to Top-K Point-of-Interest Group Retrieval | 2013 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 648 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 0.00018666267 |
| 4,786 | Collective Spatial Keyword Querying | 2011 | SIGMOD | 5.9235651e-05 |
Previous
Page 1 / 1
Next