Building a Global Location Search Service

Summary: Crosslingual location search; handles ambiguous queries; returns ranked regions (points/lines/polygons) by text. No region-specific rules or training; rapid deployment to new regions; approximate text search over arbitrary spatial data via coherence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4135
Venue: SIGMOD
Year: 2008
Pagerank: 5.093636e-05
Overall Rank: 12,564 | 13.80%
DOI: 10.1145/1376616.1376745

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Vibhuti Sengar (Microsoft)
2. Tanuja Joshi (Independent)
3. Joseph Joy (Microsoft)
4. Samarth Prakash (Microsoft)

BibTeX Citation

@inproceedings{sengar_sigmod08,
        title = {{Building a Global Location Search Service}},
        author = {Sengar, Vibhuti and Joshi, Tanuja and Joy, Joseph and Prakash, Samarth},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376745},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376745},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
158	Robust and Efficient Fuzzy Match for Online Data Cleaning	2003	SIGMOD	0.00028199923

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