Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Distance browsing in spatial databases
ACM Transactions on Database Systems (TODS)
Vector-space ranking with effective early termination
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing Multi-Feature Queries for Image Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Efficient OLAP Operations in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Hybrid index structures for location-based web search
Proceedings of the 14th ACM international conference on Information and knowledge management
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Efficient query processing in geographic web search engines
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Efficient top-k aggregation of ranked inputs
ACM Transactions on Database Systems (TODS)
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
Introduction to Information Retrieval
Introduction to Information Retrieval
Keyword Search on Spatial Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Efficient retrieval of the top-k most relevant spatial web objects
Proceedings of the VLDB Endowment
Efficient processing of top-k spatial preference queries
Proceedings of the VLDB Endowment
IR-Tree: An Efficient Index for Geographic Document Search
IEEE Transactions on Knowledge and Data Engineering
Top-k spatial keyword queries on road networks
Proceedings of the 15th International Conference on Extending Database Technology
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
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
An efficient query indexing mechanism for filtering geo-textual data
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
ST-HBase: a scalable data management system for massive geo-tagged objects
WAIM'13 Proceedings of the 14th international conference on Web-Age Information 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
A ranking measure for top-k moving object trajectories search
Proceedings of the 7th Workshop on Geographic Information Retrieval
GroupFinder: a new approach to top-k point-of-interest group retrieval
Proceedings of the VLDB Endowment
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Given a spatial location and a set of keywords, a top-k spatial keyword query returns the k best spatio-textual objects ranked according to their proximity to the query location and relevance to the query keywords. There are many applications handling huge amounts of geotagged data, such as Twitter and Flickr, that can benefit from this query. Unfortunately, the state-of-the-art approaches require non-negligible processing cost that incurs in long response time. In this paper, we propose a novel index to improve the performance of top-k spatial keyword queries named Spatial Inverted Index (S2I). Our index maps each distinct term to a set of objects containing the term. The objects are stored differently according to the document frequency of the term and can be retrieved efficiently in decreasing order of keyword relevance and spatial proximity. Moreover, we present algorithms that exploit S2I to process top-k spatial keyword queries efficiently. Finally, we show through extensive experiments that our approach outperforms the state-of-the-art approaches in terms of update and query cost.