Abstract
A novel query type named preference-aware top-k spatial-textual query is proposed in this paper. Unlike the common measure, this query returns spatial-textual objects ranked according to the warefare of the facilities in conditional range. Suppose a tourist that looks for motels that have nearby a highly rated Japanese restaurant that serves sushi. The proposed query considers not only the spatial location and textual description of spatial-textual objects (such as motels and restaurants), but also additional information such as ratings that describe their quality. Furthermore, spatial-textual objects (i.e., motels) are ranked according to the features of facilities (i.e., restaurants) in their neighborhood. However, it is time-consuming to compute the score of data object. To address this issue, we propose an efficient algorithm for processing this query. Last but not least, we conduct extensive experiments for evaluating the performance of the proposed methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bouros, P., Ge, S., Mamoulis, N.: Spatio-textual similarity joins. Proc. VLDB Endowment 6(1), 1–12 (2012)
Cao, C.C., Tong, Y., Chen, L., Jagadish, H.V.: Wisemarket: a new paradigm for managing wisdom of online social users. In: SIGKDD 2013, pp. 455–463 (2013)
Cao, X., Cong, G., Jensen, C.S.: Retrieving top-k prestige-based relevant spatial web objects. Proc. VLDB Endowment 3(1–2), 373–384 (2010)
Chen, L., Cong, G., Jensen, C.S., Wu, D.: Spatial keyword query processing: an experimental evaluation. Proc. VLDB Endowment. 6, 217–228 (2013)
Cong, G., Jensen, C.S., Wu, D.: Efficient retrieval of the top-k most relevant spatial web objects. Proc. VLDB Endowment 2(1), 337–348 (2009)
De Felipe, I., Hristidis, V., Rishe, N.: Keyword search on spatial databases. In: ICDE 2008, pp. 656–665 (2008)
Li, Z., Lee, K.C., Zheng, B., Lee, W.C., Lee, D., Wang, X.: Ir-tree: an efficient index for geographic document search. IEEE Trans. Knowl. Data Eng. 23(4), 585–599 (2011)
Rocha-Junior, J.B., Gkorgkas, O., Jonassen, S., Nørvåg, K.: Efficient processing of top-k spatial keyword queries. In: Pfoser, D., Tao, Y., Mouratidis, K., Nascimento, M.A., Mokbel, M., Shekhar, S., Huang, Y. (eds.) SSTD 2011. LNCS, vol. 6849, pp. 205–222. Springer, Heidelberg (2011)
Rocha-Junior, J.B., Vlachou, A., Doulkeridis, C., Nørvåg, K.: Efficient processing of top-k spatial preference queries. Proc. VLDB Endowment 4(2), 93–104 (2010)
She, J., Tong, Y., Chen, L.: Utility-aware social event-participant planning. In: SIGMOD 2015, pp. 1629–1643 (2015)
She, J., Tong, Y., Chen, L., Cao, C.C.: Conflict-aware event-participant arrangement. In: ICDE 2015, pp. 735–746 (2015)
She, J., Tong, Y., Chen, L., Cao, C.C.: Conflict-aware event-participant arrangement and its variant for online setting. IEEE Trans. Knowl. Data Eng. 28(9), 2281–2295 (2016)
Tong, Y., Cao, C.C., Chen, L.: TCS: efficient topic discovery over crowd-oriented service data. In: SIGKDD 2014, pp. 861–870 (2014)
Tong, Y., Cao, C.C., Zhang, C.J., Li, Y., Chen, L.: Crowdcleaner: data cleaning for multi-version data on the web via crowdsourcing. In: ICDE 2014, pp. 1182–1185 (2014)
Tong, Y., She, J., Ding, B., Chen, L., Wo, T., Xu, K.: Online minimum matching in real-time spatial data: experiments and analysis. Proc. VLDB Endowment 9(12), 1053–1064 (2016)
Tong, Y., She, J., Ding, B., Wang, L., Chen, L.: Online mobile micro-task allocation in spatial crowdsourcing. In: ICDE 2016, pp. 49–60 (2016)
Tong, Y., She, J., Meng, R.: Bottleneck-aware arrangement over event-based social networks: the max-min approach. World Wide Web J. 19(6), 1151–1177 (2016)
Yiu, M.L., Dai, X., Mamoulis, N., Vaitis, M.: Top-k spatial preference queries. In: ICDE 2007, pp. 1076–1085 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Gao, Y., Wang, Y., Yi, S. (2016). Preference-Aware Top-k Spatio-Textual Queries. In: Song, S., Tong, Y. (eds) Web-Age Information Management. WAIM 2016. Lecture Notes in Computer Science(), vol 9998. Springer, Cham. https://doi.org/10.1007/978-3-319-47121-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-47121-1_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47120-4
Online ISBN: 978-3-319-47121-1
eBook Packages: Computer ScienceComputer Science (R0)