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
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Topological relations in the world of minimum bounding rectangles: a study with R-trees
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Distance browsing in spatial databases
ACM Transactions on Database Systems (TODS)
Closest pair queries in spatial databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Spatial SQL: A Query and Presentation Language
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 17th International Conference on Data Engineering
Reasoning about Gradual Changes of Topological Relationships
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
FlexRecs: expressing and combining flexible recommendations
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Location recommendation for location-based social networks
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Topological operators: a relaxed query processing approach
Geoinformatica
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Recommendation functionalities have been recently considered in traditional database systems as an approach for guaranteeing a satisfactory interaction with the database also to users with a low or moderate technical skill or in presence of huge volumes of, potentially heterogeneous, data. Recommendation is performed by extending query results with additional and potentially interesting items. Among the proposed techniques, current-state approaches exploit the content and the schema of a query result as well as the database instance in order to recommend new items. While some preliminary current-state approaches have been proposed for relational databases, in this paper, we claim that current-state approaches can also be relevant for providing new ways of interactions in spatial databases. To support our claim, we present a current-state recommendation approach for spatial data and topological queries. The proposed approach exploits the principles of locality and similarity between topological predicates to recommend new spatial objects besides those precisely returned by a query. An index-based query processing algorithm for the proposed recommendation operator is also proposed, to guarantee an efficient computation of recommended items.