User Driven Query Framework of Social Networks for Geo-Temporal Analysis of Events of Interest

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10312270" target="_blank" >RIV/00216208:11320/16:10312270 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.4018/978-1-4666-8767-7.ch008" target="_blank" >https://doi.org/10.4018/978-1-4666-8767-7.ch008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4018/978-1-4666-8767-7.ch008" target="_blank" >10.4018/978-1-4666-8767-7.ch008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

User Driven Query Framework of Social Networks for Geo-Temporal Analysis of Events of Interest

Popis výsledku v původním jazyce

In this chapter we propose a framework for collecting, organizing into a database and querying information in social networks by the specification of content-based, geographic and temporal conditions to the aim of detecting periodic and aperiodic events. Our proposal could be a basis for developing context aware services. For example to identify the streets and their rush hours by analyzing the messages in social media periodically sent by queuing drivers and to report these critical spatio-temporal situations to help other drivers to plan alternative routes. Specifically, we rely on a focused crawler to periodically collect messages in social networks related with the contents of interest, and on an original geo-temporal clustering algorithm in order to explore the geo-temporal distribution of the messages. The clustering algorithm can be customized so as to identify aperiodic and periodic events at global or local scale based on the specification of geographic and temporal query conditions.

Název v anglickém jazyce

User Driven Query Framework of Social Networks for Geo-Temporal Analysis of Events of Interest

Popis výsledku anglicky

In this chapter we propose a framework for collecting, organizing into a database and querying information in social networks by the specification of content-based, geographic and temporal conditions to the aim of detecting periodic and aperiodic events. Our proposal could be a basis for developing context aware services. For example to identify the streets and their rush hours by analyzing the messages in social media periodically sent by queuing drivers and to report these critical spatio-temporal situations to help other drivers to plan alternative routes. Specifically, we rely on a focused crawler to periodically collect messages in social networks related with the contents of interest, and on an original geo-temporal clustering algorithm in order to explore the geo-temporal distribution of the messages. The clustering algorithm can be customized so as to identify aperiodic and periodic events at global or local scale based on the specification of geographic and temporal query conditions.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Handbook of Research on Innovative Database Query Processing Techniques

ISBN

978-1-4666-8767-7

Počet stran výsledku

26

Strana od-do

224-249

Počet stran knihy

626

Název nakladatele

IGI Global

Místo vydání

Neuveden

Kód UT WoS kapitoly

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