Abstract
This paper focuses on the problem of m-Closest Keywords (mCK) queries over spatial web objects. An \(mCK\ query\) is to find the optimal set of objects (object-set) in the sense that they are the spatially-closest records and satisfy m user-given keywords. We propose a new approach called Pairwise Expansion to find an exact solution of mCK queries based on topdown search of an on-the-fly quad-tree. This approach first enumerates object-pairs in a topdown way, then picks up each ‘closer’ object-pair and expands it into candidate object-sets. Experimental results show that this approach is more efficient than existing topdown search strategies and applicable for real spatial web data.
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References
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Qiu, Y., Ohmori, T., Shintani, T., Fujita, H. (2016). Pairwise Expansion: A New Topdown Search for mCK Queries Problem over Spatial Web. In: Li, F., Shim, K., Zheng, K., Liu, G. (eds) Web Technologies and Applications. APWeb 2016. Lecture Notes in Computer Science(), vol 9932. Springer, Cham. https://doi.org/10.1007/978-3-319-45817-5_46
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DOI: https://doi.org/10.1007/978-3-319-45817-5_46
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