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https://doi.org/10.17559/TV-20160419053402

Keyword Search in Large-Scale Databases with Topic Cluster Units

Yingqi Wang   ORCID icon orcid.org/0000-0002-4215-5903 ; School of Computer Science and Technology, Harbin Engineering University Harbin, 150001, China
Nianbin Wang ; School of Computer Science and Technology, Harbin Engineering University Harbin, 150001, China
Lianke Zhou   ORCID icon orcid.org/0000-0002-3601-9286 ; School of Computer Science and Technology, Harbin Engineering University Harbin, 150001, China

Puni tekst: engleski, pdf (934 KB) str. 748-758 preuzimanja: 158* citiraj
APA 6th Edition
Wang, Y., Wang, N. i Zhou, L. (2018). Keyword Search in Large-Scale Databases with Topic Cluster Units. Tehnički vjesnik, 25 (3), 748-758. https://doi.org/10.17559/TV-20160419053402
MLA 8th Edition
Wang, Yingqi, et al. "Keyword Search in Large-Scale Databases with Topic Cluster Units." Tehnički vjesnik, vol. 25, br. 3, 2018, str. 748-758. https://doi.org/10.17559/TV-20160419053402. Citirano 12.11.2019.
Chicago 17th Edition
Wang, Yingqi, Nianbin Wang i Lianke Zhou. "Keyword Search in Large-Scale Databases with Topic Cluster Units." Tehnički vjesnik 25, br. 3 (2018): 748-758. https://doi.org/10.17559/TV-20160419053402
Harvard
Wang, Y., Wang, N., i Zhou, L. (2018). 'Keyword Search in Large-Scale Databases with Topic Cluster Units', Tehnički vjesnik, 25(3), str. 748-758. https://doi.org/10.17559/TV-20160419053402
Vancouver
Wang Y, Wang N, Zhou L. Keyword Search in Large-Scale Databases with Topic Cluster Units. Tehnički vjesnik [Internet]. 2018 [pristupljeno 12.11.2019.];25(3):748-758. https://doi.org/10.17559/TV-20160419053402
IEEE
Y. Wang, N. Wang i L. Zhou, "Keyword Search in Large-Scale Databases with Topic Cluster Units", Tehnički vjesnik, vol.25, br. 3, str. 748-758, 2018. [Online]. https://doi.org/10.17559/TV-20160419053402

Sažetak
To solve the inefficiency of the existing keyword search methods in large databases, this paper proposes TCU-based query, an offline query method based on topic cluster units. First, topic cluster units (TCUs) are constructed through vertical grouping and horizontal grouping on tables and tuples. In contrast to traditional keyword query methods, this offline method cannot only reduce the query response time, but also return results comprising richer and more complete semantic information. In order to further improve the efficiency of data preprocessing, an optimized solution for table join ordering based on the genetic algorithm is presented. Second, we select index terms using the association rule, and then we build an index on every topic cluster; by doing so we can improve the query speed significantly. Finally, we conduct extensive experiments to demonstrate that our approach greatly improves the performance of keyword search.

Ključne riječi
clustering; keyword search; relational databases; subject indexes; topic cluster units

Hrčak ID: 202609

URI
https://hrcak.srce.hr/202609

Posjeta: 340 *