Izvorni znanstveni članak

https://doi.org/10.17559/TV-20180408134120

ETGP: Top-K Geography-Text P/S Approach without Threshold

Zongmin Cui ; School of Information Science and Technology, Jiujiang University, No. 551, Qianjin East Road, Jiujiang, Jiangxi 332005, China
Hongbo Li ; School of Computer Science and Information Technology, Daqing Normal University, Xibin Xi Road, Ranghulu District, Daqing, Heilongjiang Province, China
Hong Zhu ; School of Computer Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Hongshan District, Wuhan, Hubei 430074, China

Sažetak

Social media are more and more popular. Subsequently, geography-text data has caused wide attention. Different from the traditional publish/subscribe (P/S), geography-text data is published and subscribed in the form of dynamic data flow in the mobile network. The difference raises higher demands for facility. However, previous top-k geography-text P/S approaches want to set a set of thresholds. A user should take time to set a threshold for each subscription, which is not facile enough. The threshold yields many weaknesses to users. Therefore, we herein propose an efficient top-k geography-text P/S approach that excludes the threshold, called ETGP. Our approach does not need users to set any threshold. Subsequently, the ETGP returns the highest score results to the subscriber without setting a threshold. Therefore, our approach can lessen redundant computations, promote the query integrity rate, and make P/S system easier for the user to use. Comprehensive experiments prove the efficiency of the proposed approach with high facility.

Ključne riječi

geography-text data query; none threshold; P/S; publish/subscribe system; top-khighest score

Hrčak ID:

207441

URI

https://hrcak.srce.hr/207441

Datum izdavanja:

28.10.2018.

Posjeta: 1.476 *