Retrieving text-based surrounding objects in spatial databases

Bojie Shen; Md. Saiful Islam; David Taniar; Junhu Wang

doi:10.1007/978-3-030-15032-7_78

Retrieving text-based surrounding objects in spatial databases

Bojie Shen, Md. Saiful Islam, David Taniar, Junhu Wang

Dept of Software Systems & Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

Retrieval of textually relevant non-dominated surrounding data objects has many potential applications in spatial databases such as textually relevant nearby point-of-interest retrieval surrounding a user. This paper presents a novel query, called textually-relevant direction-based spatial skyline (TDSS), for retrieving textually relevant non-dominated surrounding data objects in spatial databases. The paper also presents efficient algorithms for processing TDSS queries in spatial databases by designing novel data pruning techniques using keyword inverted index and R-Tree data indexing scheme. The effectiveness and efficiency of the proposed algorithms are demonstrated by conducting extensive experiments.

Original language	English
Title of host publication	Advanced Information Networking and Applications
Subtitle of host publication	Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019)
Editors	Leonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	927-939
Number of pages	13
ISBN (Electronic)	9783030150327
ISBN (Print)	9783030150310
DOIs	https://doi.org/10.1007/978-3-030-15032-7_78
Publication status	Published - 2020
Event	International Conference on Advanced Information Networking and Applications 2019 - Matsue, Japan Duration: 27 Mar 2019 → 29 Mar 2019 Conference number: 33rd http://voyager.ce.fit.ac.jp/conf/aina/2019/

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	926
ISSN (Print)	2194-5357

Conference

Conference	International Conference on Advanced Information Networking and Applications 2019
Abbreviated title	AINA-2019
Country	Japan
City	Matsue
Period	27/03/19 → 29/03/19
Internet address	http://voyager.ce.fit.ac.jp/conf/aina/2019/

Cite this

Shen, B., Islam, M. S., Taniar, D., & Wang, J. (2020). Retrieving text-based surrounding objects in spatial databases. In L. Barolli, M. Takizawa, F. Xhafa, & T. Enokido (Eds.), Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019) (pp. 927-939). (Advances in Intelligent Systems and Computing; Vol. 926). Cham Switzerland: Springer. https://doi.org/10.1007/978-3-030-15032-7_78

Shen, Bojie ; Islam, Md. Saiful ; Taniar, David ; Wang, Junhu. / Retrieving text-based surrounding objects in spatial databases. Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). editor / Leonard Barolli ; Makoto Takizawa ; Fatos Xhafa ; Tomoya Enokido. Cham Switzerland : Springer, 2020. pp. 927-939 (Advances in Intelligent Systems and Computing).

@inproceedings{dca76fdfa5bf4b2c8875c0261a4ac156,

title = "Retrieving text-based surrounding objects in spatial databases",

abstract = "Retrieval of textually relevant non-dominated surrounding data objects has many potential applications in spatial databases such as textually relevant nearby point-of-interest retrieval surrounding a user. This paper presents a novel query, called textually-relevant direction-based spatial skyline (TDSS), for retrieving textually relevant non-dominated surrounding data objects in spatial databases. The paper also presents efficient algorithms for processing TDSS queries in spatial databases by designing novel data pruning techniques using keyword inverted index and R-Tree data indexing scheme. The effectiveness and efficiency of the proposed algorithms are demonstrated by conducting extensive experiments.",

author = "Bojie Shen and Islam, {Md. Saiful} and David Taniar and Junhu Wang",

year = "2020",

doi = "10.1007/978-3-030-15032-7_78",

language = "English",

isbn = "9783030150310",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "927--939",

editor = "Leonard Barolli and Makoto Takizawa and Fatos Xhafa and Tomoya Enokido",

booktitle = "Advanced Information Networking and Applications",

}

Shen, B, Islam, MS, Taniar, D & Wang, J 2020, Retrieving text-based surrounding objects in spatial databases. in L Barolli, M Takizawa, F Xhafa & T Enokido (eds), Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). Advances in Intelligent Systems and Computing, vol. 926, Springer, Cham Switzerland, pp. 927-939, International Conference on Advanced Information Networking and Applications 2019, Matsue, Japan, 27/03/19. https://doi.org/10.1007/978-3-030-15032-7_78

Retrieving text-based surrounding objects in spatial databases. / Shen, Bojie; Islam, Md. Saiful; Taniar, David; Wang, Junhu.

Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). ed. / Leonard Barolli; Makoto Takizawa; Fatos Xhafa; Tomoya Enokido. Cham Switzerland : Springer, 2020. p. 927-939 (Advances in Intelligent Systems and Computing; Vol. 926).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Retrieving text-based surrounding objects in spatial databases

AU - Shen, Bojie

AU - Islam, Md. Saiful

AU - Taniar, David

AU - Wang, Junhu

PY - 2020

Y1 - 2020

N2 - Retrieval of textually relevant non-dominated surrounding data objects has many potential applications in spatial databases such as textually relevant nearby point-of-interest retrieval surrounding a user. This paper presents a novel query, called textually-relevant direction-based spatial skyline (TDSS), for retrieving textually relevant non-dominated surrounding data objects in spatial databases. The paper also presents efficient algorithms for processing TDSS queries in spatial databases by designing novel data pruning techniques using keyword inverted index and R-Tree data indexing scheme. The effectiveness and efficiency of the proposed algorithms are demonstrated by conducting extensive experiments.

AB - Retrieval of textually relevant non-dominated surrounding data objects has many potential applications in spatial databases such as textually relevant nearby point-of-interest retrieval surrounding a user. This paper presents a novel query, called textually-relevant direction-based spatial skyline (TDSS), for retrieving textually relevant non-dominated surrounding data objects in spatial databases. The paper also presents efficient algorithms for processing TDSS queries in spatial databases by designing novel data pruning techniques using keyword inverted index and R-Tree data indexing scheme. The effectiveness and efficiency of the proposed algorithms are demonstrated by conducting extensive experiments.

UR - http://www.scopus.com/inward/record.url?scp=85063981261&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-15032-7_78

DO - 10.1007/978-3-030-15032-7_78

M3 - Conference Paper

AN - SCOPUS:85063981261

SN - 9783030150310

T3 - Advances in Intelligent Systems and Computing

SP - 927

EP - 939

BT - Advanced Information Networking and Applications

A2 - Barolli, Leonard

A2 - Takizawa, Makoto

A2 - Xhafa, Fatos

A2 - Enokido, Tomoya

PB - Springer

CY - Cham Switzerland

ER -

Shen B, Islam MS, Taniar D, Wang J. Retrieving text-based surrounding objects in spatial databases. In Barolli L, Takizawa M, Xhafa F, Enokido T, editors, Advanced Information Networking and Applications: Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019). Cham Switzerland: Springer. 2020. p. 927-939. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-15032-7_78

Access to Document

10.1007/978-3-030-15032-7_78

Link to publication in Scopus