Retrieving text-based surrounding objects in spatial databases

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

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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 languageEnglish
Title of host publicationAdvanced Information Networking and Applications
Subtitle of host publicationProceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019)
EditorsLeonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido
Place of PublicationCham Switzerland
PublisherSpringer
Pages927-939
Number of pages13
ISBN (Electronic)9783030150327
ISBN (Print)9783030150310
DOIs
Publication statusPublished - 2020
EventInternational Conference on Advanced Information Networking and Applications 2019 - Matsue, Japan
Duration: 27 Mar 201929 Mar 2019
Conference number: 33rd
http://voyager.ce.fit.ac.jp/conf/aina/2019/

Publication series

NameAdvances in Intelligent Systems and Computing
Volume926
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Advanced Information Networking and Applications 2019
Abbreviated titleAINA-2019
CountryJapan
CityMatsue
Period27/03/1929/03/19
Internet address

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).
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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",
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language = "English",
isbn = "9783030150310",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "927--939",
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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 proceedingConference PaperResearchpeer-review

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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.

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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