Please use this identifier to cite or link to this item:
Title: SOPS : a system for efficient processing of spatial-keyword publish/subscribe
Authors: Chen, Lisi
Cui, Yan
Cong, Gao
Cao, Xin
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: Chen, L., Cui, Y., Cong, G., & Cao, X. (2014). SOPS : a system for efficient processing of spatial-keyword publish/subscribe. Proceedings of the VLDB endowment, 7(13), 1601-1604. doi:10.14778/2733004.2733040
Series/Report no.: Proceedings of the VLDB endowment
Abstract: Massive amount of data that are geo-tagged and associated with text information are being generated at an unprecedented scale. These geo-textual data cover a wide range of topics. Users are interested in receiving up-to-date geo-textual objects (e.g., geo-tagged Tweets) such that their locations meet users' need and their texts are interesting to users. For example, a user may want to be updated with tweets near her home on the topic "dengue fever headache." In this demonstration, we present SOPS, the Spatial-Keyword Publish/Subscribe System, that is capable of efficiently processing spatial keyword continuous queries. SOPS supports two types of queries: (1) Boolean Range Continuous (BRC) query that can be used to subscribe the geo-textual objects satisfying a boolean keyword expression and falling in a specified spatial region; (2) Temporal Spatial-Keyword Top-k Continuous (TaSK) query that continuously maintains up-to-date top-k most relevant results over a stream of geo-textual objects. SOPS enables users to formulate their queries and view the real-time results over a stream of geotextual objects by browser-based user interfaces. On the server side, we propose solutions to efficiently processing a large number of BRC queries (tens of millions) and TaSK queries over a stream of geo-textual objects.
DOI: 10.14778/2733004.2733040
Rights: © 2014 VLDB Endowment. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit Obtain permission prior to any use beyond those covered by the license. Contact copyright holder by emailing Articles from this volume were invited to present their results at the 40th International Conference on Very Large Data Bases, September 1st - 5th 2014, Hangzhou, China.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

Files in This Item:
File Description SizeFormat 
SOPS a system for efficient processing of spatial-keyword publishsubscribe.pdf555.42 kBAdobe PDFThumbnail

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.