Abstract
The highly generation of spatio-textual data and the ever-increasing development of spatio-textual-based services have attracted the attention of researchers to retrieve desired points among the data. With the ability of returning all desired points which are not dominated by other points, skyline queries prune input data and make it easy to the user to make the final decision. A point will dominate another point if it is as good as the point in all dimensions and is better than it at least in one dimension. This type of query is very costly in terms of computation. Therefore, this paper provides an approximate method to solve spatio-textual skyline problem. It provides a trade-off between runtime and accuracy and improves the efficiency of the query. Experiment results show the acceptable accuracy and efficiency of the proposed method.
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Aboutorabi, S.H., Ghadiri, N., Khodizadeh Nahari, M. (2018). A Novel Approach for Approximate Spatio-Textual Skyline Queries. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_65
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