Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Vector-space ranking with effective early termination
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Knowledge and Data Engineering
Efficient OLAP Operations in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Query processing in spatial network databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Introduction to Information Retrieval
Introduction to Information Retrieval
Keyword search on external memory data graphs
Proceedings of the VLDB Endowment
Fast object search on road networks
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Keyword Search on Spatial Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Keyword Search in Spatial Databases: Towards Searching by Document
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Efficient retrieval of the top-k most relevant spatial web objects
Proceedings of the VLDB Endowment
IR-Tree: An Efficient Index for Geographic Document Search
IEEE Transactions on Knowledge and Data Engineering
Collective spatial keyword querying
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Efficient continuously moving top-k spatial keyword query processing
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Efficient processing of top-k spatial keyword queries
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
ROAD: A New Spatial Object Search Framework for Road Networks
IEEE Transactions on Knowledge and Data Engineering
Collective spatial keyword queries: a distance owner-driven approach
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
G-tree: an efficient index for KNN search on road networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
A spatial keyword evaluation framework for network-based spatial queries
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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With the popularization of GPS-enabled devices there is an increasing interest for location-based queries. In this context, one interesting problem is processing top-k spatial keyword queries. Given a set of objects with a textual description (e.g., menu of a restaurant), a query location (latitude and longitude), and a set of query keywords, a top-k spatial keyword query returns the k best objects ranked in terms of both distance to the query location and textual relevance to the query keywords. So far, the research on this problem has assumed Euclidean space. In order to process such queries efficiently, spatio-textual indexes combining R-trees and inverted files are employed. However, for most real applications, the distance between the objects and query location is constrained by a road network (shortest path) and cannot be computed efficiently using R-trees. In this paper, we address, for the first time, the challenging problem of processing top-k spatial keyword queries on road networks where the distance between the query location and the spatial object is the shortest path. We formalize the new query type, and present novel indexing structures and algorithms that are able to process such queries efficiently. Finally, we perform an experimental evaluation that shows the efficiency of our approach.