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Pairwise location-aware publish/subscribe for geo-textual data streams
2020
IEEE Access
Specifically, top-k frequent terms or terms with frequency no less than a pre-defined threshold are delivered to users. ...
GEO-TEXTUAL OBJECT PUBLISH/SUBSCRIBE Geo-textual object publish/subscribe systems have been studied extensively in recent years. ...
doi:10.1109/access.2020.3038921
fatcat:2c4vmcsgyfdonmu5p7ror372ym
Temporal Spatial-Keyword Top-k publish/subscribe
2015
2015 IEEE 31st International Conference on Data Engineering
Given a TaSK query, we continuously maintain up-to-date top-k most relevant results over a stream of geo-textual objects (e.g., geo-tagged Tweets) for the query. ...
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. ...
These geo-textual objects can be modeled as continuously arriving streams, and many real-world applications can benefit from a publish/subscribe system for streams of such geo textual objects. ...
doi:10.1109/icde.2015.7113289
dblp:conf/icde/ChenCCT15
fatcat:x7m4j4tkujgizgbi27nswq4jja
Approximate spatio-temporal top-k publish/subscribe
2018
World wide web (Bussum)
In this light, we propose and study a novel problem of processing location-based top-k subscriptions over spatio-temporal data streams. ...
Location-based publish/subscribe plays a significant role in mobile information disseminations. ...
To solve this problem, some existing studies [4, 51] develop location-based top-k publish/subscribe systems that focus on processing a large number of location-based top-k subscriptions over geo-textual ...
doi:10.1007/s11280-018-0564-3
fatcat:j2igega64jaz7aqzmyh2dpkzja
Top-k Spatial-keyword Publish/Subscribe Over Sliding Window
[article]
2016
arXiv
pre-print
In this paper, we investigate a novel real-time top-k monitoring problem over sliding window of streaming data; that is, we continuously maintain the top-k most relevant geo-textual messages (e.g., geo-tagged ...
To the best of our knowledge, this is the first work to study top-k spatial-keyword publish/subscribe over sliding window. ...
To buffer the most recent data from geo-textual stream, we adopt a count-based sliding window defined as follows. ...
arXiv:1611.03204v1
fatcat:k66v3oiwobgwbeqoi3di4ko7ni
Top-k spatial-keyword publish/subscribe over sliding window
2017
The VLDB journal
In this paper, we investigate a novel real-time top-k monitoring problem over sliding window of streaming data; that is, we continuously maintain the top-k most relevant geo-textual messages (e.g., geo-tagged ...
To provide the most recent information under controllable memory cost, sliding window model is employed on the streaming geo-textual data. ...
To buffer the most recent data from geo-textual stream, we adopt a count-based sliding window defined as follows. ...
doi:10.1007/s00778-016-0453-2
fatcat:yirt3mnzb5h3pn2seqbkpxbkfi
EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe
2018
KSII Transactions on Internet and Information Systems
However, most of the existing Top-k geo-textual publish/subscribe schemes have the following deficiencies: (1) All publications have to be scored for each subscription, which is not efficient enough. ( ...
Different from the traditional publish/subscribe format, geo-textual data is published and subscribed in the form of dynamic data flow in the mobile network. ...
Unlike traditional publish/subscribe systems, geo-textual data includes a geographic description and a textual description that are continuously generated and propagated in the form of a dynamic data stream ...
doi:10.3837/tiis.2018.12.015
fatcat:dzijtkx7qzajhca2ys2t2vb664
Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream
[article]
2017
arXiv
pre-print
However, the explosive growth of data scale and user base has posed challenges to the existing centralized publish/subscribe systems for spatio-textual data streams. ...
In this paper, we propose our distributed publish/subscribe system, called PS2Stream, which digests a massive spatio-textual data stream and directs the stream to target users with registered interests ...
We also acknowledge the "AWS Cloud Credits for Research" program for its support of this work. ...
arXiv:1612.02564v4
fatcat:dsyogfmk5fg63gqptkpnichpt4
AP-Tree: efficiently support location-aware Publish/Subscribe
2015
The VLDB journal
We investigate the problem of efficiently supporting location-aware Publish/Subscribe (Pub/Sub for short), which is essential in many applications such as location-based recommendation and advertising, ...
(for the textual constraint imposed by the problem. ...
Introduction Content-based Publish/Subscribe (Pub/Sub for short) system has attracted a lot of attention since the last decade [1, 17, 37, 48] . ...
doi:10.1007/s00778-015-0403-4
fatcat:ajpz6yyjrfattngpmn4lf527te
A location-aware publish/subscribe framework for parameterized spatio-textual subscriptions
2015
2015 IEEE 31st International Conference on Data Engineering
In this paper, we allow subscribers to parameterize their subscriptions and study the location-aware publish/subscribe problem on parameterized spatio-textual subscriptions. ...
Different from traditional content-based publish/subscribe, subscriptions registered by subscribers and messages published by publishers include both spatial information and textual descriptions, and messages ...
[3] proposed an efficient index to match a stream of boolean range continuous queries over a stream of geo-textual objects. ...
doi:10.1109/icde.2015.7113327
dblp:conf/icde/HuLLFT15
fatcat:rztqf4gaazgi7fmq3uqc4yzezy
SOPS
2014
Proceedings of the VLDB Endowment
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. ...
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. ...
We define such query as Temporal Spatial-Keyword Top-k Continuous (TaSK) query that continuously maintains the up-to-date top-k results over a stream of geo-textual objects. ...
doi:10.14778/2733004.2733040
fatcat:ecu6i4jbgjdz5jlxjwiws7flqu
Skype
2016
Proceedings of the VLDB Endowment
In this paper, we investigate a novel real-time top-k monitoring problem over sliding window of streaming data; that is, we continuously maintain the top-k most relevant geo-textual messages (e.g., geo-tagged ...
To provide the most recent information under controllable memory cost, sliding window model is employed on the streaming geo-textual data. ...
CONCLUSION The popularity of streaming geo-textual data offers great opportunity for applications such as information dissemination and location-based campaigns. ...
doi:10.14778/2904483.2904490
fatcat:i2fbzq76abdmzbiuce3omtalne
Efficient processing of continuous spatial-textual queries over geo-textual data stream
2022
Indonesian Journal of Electrical Engineering and Computer Science
The various continuous geo-keyword query processing methods normally lack the support for fuzzy keyword matching when processing the objects from the geo-textual data stream. ...
For the spatialkeyword data stream, the performance plays a vital role as the geo information and keyword description matching is needed for every incoming streaming object. ...
However, it is proposed a time-based publish/subscribe system while taking into account both textual and spatial factors and semantic-based top-k search is performed [31] . ...
doi:10.11591/ijeecs.v25.i2.pp1094-1102
fatcat:fhbyk22dofdozis4u3fhmirfh4
Continuous Top-k Queries over Real-Time Web Streams
[article]
2016
arXiv
pre-print
In this setting, we need to process continuous top-k text queries combining both static and dynamic scores. ...
To accommodate high arrival rates of information items and user events we explore a publish/subscribe paradigm in which we index queries and update on the fly their results each time a new item and relevant ...
Top-k publish/subscribe on spatio-textual streams: AP (Adaptive spatial-textual Partition)-Trees [30] aim to efficiently serve spatial-keyword subscriptions in location-aware publish/subscribe applications ...
arXiv:1610.06500v1
fatcat:htl5t23hwfbfzjuljjtmdsg7fe
Region-Based Message Exploration over Spatio-Temporal Data Streams
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Massive amount of spatio-temporal data that contain location and text content are being generated by location-based social media. These spatio-temporal messages cover a wide range of topics. ...
We develop a region-based message exploration mechanism that retrieve spatio-temporal message clusters from a stream of spatio-temporal messages based on users' preferences on message topic and message ...
Related Work Continuous query processing over spatio-temporal data streams Our problem is relevant to the location-based publish/subscribe problem. ...
doi:10.1609/aaai.v33i01.3301873
fatcat:u2kpkkhuwjccvmhnexassiymgy
FAST: Frequency-Aware Spatio-Textual Indexing for In-Memory Continuous Filter Query Processing
[article]
2017
arXiv
pre-print
Many applications need to process massive streams of spatio-textual data in real-time against continuous spatio-textual queries. ...
For example, in location-aware ad targeting publish/subscribe systems, it is required to disseminate millions of ads and promotions to millions of users based on the locations and textual profiles of users ...
., location-aware publish/subscribe systems [4] , information dissemination [5] , and sponsored search [6] . ...
arXiv:1709.02529v2
fatcat:spfwh325l5dpvc7ba5fq56ct6m
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