A rapid place name locating algorithm based on ontology qualitative retrieval, ranking and recommendation

Hong Fan; Anfeng Zhu; Weixia Zhang

doi:10.1117/12.2209223

14 December 2015 A rapid place name locating algorithm based on ontology qualitative retrieval, ranking and recommendation

Hong Fan, Anfeng Zhu, Weixia Zhang

Author Affiliations +

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 981505 (2015) https://doi.org/10.1117/12.2209223
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In order to meet the rapid positioning of 12315 complaints, aiming at the natural language expression of telephone complaints, a semantic retrieval framework is proposed which is based on natural language parsing and geographical names ontology reasoning. Among them, a search result ranking and recommended algorithms is proposed which is regarding both geo-name conceptual similarity and spatial geometry relation similarity. The experiments show that this method can assist the operator to quickly find location of 12,315 complaints, increased industry and commerce customer satisfaction.

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Hong Fan, Anfeng Zhu, and Weixia Zhang "A rapid place name locating algorithm based on ontology qualitative retrieval, ranking and recommendation ", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981505 (14 December 2015); https://doi.org/10.1117/12.2209223

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