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Query Expansion Based on Semantic Related Network

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Abstract

With the development of big data, the heuristic query based on the semantic relationship network has become a hot topic, which attracts much attention. Due to the complex relationship between data records, the traditional query technologies cannot satisfy the requirements of users. To this end, this paper proposes a heuristic query method based on the semantic relationship network, which first constructs the semantic relationship model, and then expands the query based on the constructed semantic relationship network. The experiments demonstrate the reasonableness, high precision of our method.

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Acknowledgement

This work is supported by National Key R&D Program of China (No. 2017YFC0803300), the National Natural Science of Foundation of China (No. 61703013, 91546111, 91646201) and the Key Project of Beijing Municipal Education Commission (No. KM201810005023, KM201810005024, KZ201610005009).

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Correspondence to Ling Zhang .

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Guo, L., Su, X., Zhang, L., Huang, G., Gao, X., Ding, Z. (2018). Query Expansion Based on Semantic Related Network. In: Geng, X., Kang, BH. (eds) PRICAI 2018: Trends in Artificial Intelligence. PRICAI 2018. Lecture Notes in Computer Science(), vol 11013. Springer, Cham. https://doi.org/10.1007/978-3-319-97310-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-97310-4_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97309-8

  • Online ISBN: 978-3-319-97310-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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