Efficient processing of top-k spatial keyword queries
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
A moving-object index for efficient query processing with peer-wise location privacy
Proceedings of the VLDB Endowment
Text vs. space: efficient geo-search query processing
Proceedings of the 20th ACM international conference on Information and knowledge management
Top-k spatial keyword queries on road networks
Proceedings of the 15th International Conference on Extending Database Technology
Evaluating spatial keyword queries under the mapreduce framework
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
SWORS: a system for the efficient retrieval of relevant spatial web objects
Proceedings of the VLDB Endowment
DISKs: a system for distributed spatial group keyword search on road networks
Proceedings of the VLDB Endowment
A framework for efficient spatial web object retrieval
The VLDB Journal — The International Journal on Very Large Data Bases
Aggregate keyword routing in spatial database
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Spatio-textual similarity joins
Proceedings of the VLDB Endowment
Moving spatial keyword queries: Formulation, methods, and analysis
ACM Transactions on Database Systems (TODS)
Spatial keyword query processing: an experimental evaluation
Proceedings of the VLDB Endowment
Scalable top-k spatial keyword search
Proceedings of the 16th International Conference on Extending Database Technology
Collective spatial keyword queries: a distance owner-driven approach
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Map search via a factor graph model
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Spatial keyword querying of geo-tagged web content
Proceedings of the 7th International Workshop on Ranking in Databases
User-Contributed relevance and nearest neighbor queries
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
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Given a geographic query that is composed of query keywords and a location, a geographic search engine retrieves documents that are the most textually and spatially relevant to the query keywords and the location, respectively, and ranks the retrieved documents according to their joint textual and spatial relevances to the query. The lack of an efficient index that can simultaneously handle both the textual and spatial aspects of the documents makes existing geographic search engines inefficient in answering geographic queries. In this paper, we propose an efficient index, called IR-tree, that together with a top-k document search algorithm facilitates four major tasks in document searches, namely, 1) spatial filtering, 2) textual filtering, 3) relevance computation, and 4) document ranking in a fully integrated manner. In addition, IR-tree allows searches to adopt different weights on textual and spatial relevance of documents at the runtime and thus caters for a wide variety of applications. A set of comprehensive experiments over a wide range of scenarios has been conducted and the experiment results demonstrate that IR-tree outperforms the state-of-the-art approaches for geographic document searches.