Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104998
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dc.contributor.authorChen, Lisien_US
dc.contributor.authorCui, Yanen_US
dc.contributor.authorCong, Gaoen_US
dc.contributor.authorCao, Xinen_US
dc.date.accessioned2014-08-28T07:30:49Zen
dc.date.accessioned2019-12-06T21:44:18Z-
dc.date.available2014-08-28T07:30:49Zen
dc.date.available2019-12-06T21:44:18Z-
dc.date.copyright2014en
dc.date.issued2014-
dc.identifier.citationChen, 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:10.14778/2733004.2733040en
dc.identifier.urihttps://hdl.handle.net/10356/104998-
dc.description.abstractMassive 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.en_US
dc.format.extent4 p.en
dc.language.isoenen_US
dc.relation.ispartofseriesProceedings of the VLDB endowmenten
dc.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 http://creativecommons.org/licenses/by-nc-nd/3.0/. Obtain permission prior to any use beyond those covered by the license. Contact copyright holder by emailing info@vldb.org. 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.en_US
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleSOPS : a system for efficient processing of spatial-keyword publish/subscribeen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.identifier.doi10.14778/2733004.2733040-
dc.description.versionPublished versionen_US
dc.identifier.urlhttp://www.vldb.org/2014/program/papers/demo/p1077-chen.pdfen
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