Abstract
Considering advantages and disadvantages of search engines and SQL query of keywords search, we propose a novel method of constructing fuzzy ontology model combining ontology with fuzzy sets. We introduce membership functions and the fuzzy operator, then expand semantic keywords based on the semantic synonym dictionary. To process query effectively, we design an optimized storage structure based on B* tree. Some techniques, such as index mechanism, are used in our system. Based on these techniques, we propose a top-k query which uses dynamic filtering to accelerate processes. We experimentally demonstrate the accuracy and efficiency of the methods.
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Acknowledgments
This paper was partially supported by National Sci-Tech Support Plan 2015BAH10F01 and NSFC grant U1509216,61472099,61133002 and the Scientific Research Foundation for the Returned Overseas Chinese Scholars of Heilongjiang Province LC2016026.
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Han, S., Wang, H., Gao, H., Li, J., Huang, S. (2016). Fuzzy Keywords Query. 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_20
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DOI: https://doi.org/10.1007/978-3-319-45817-5_20
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