research-article

On-line aggregation of POIs from Google and Facebook

Authors:

Maurizio Toccu,

Giuseppe Psaila,

Davide AltomareAuthors Info & Claims

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

Pages 1081 - 1089

https://doi.org/10.1145/3297280.3297576

Published: 08 April 2019 Publication History

Abstract

In the last decade, social media have become widely exploited sources of information concerning every aspect of life. The reason is that they permit to create and widely share information, even in mobility by exploiting mobile apps. Information available on social media are often related to public places (restaurants, museums, etc.), and users often look for interesting public places. Currently, various social media own and publish huge and independently-built corpora of geo-located data about public places, which are not linked each other. In particular, the main players are Google and Facebook.

Users searching for a public place of interest (POI) might wish to get all available information from social media. Therefore, they need an on-line aggregation engine for public places that returns an aggregated view of a place, retrieving data concerning the same place from various sources. The on-line approach is suggested by continuous variations in data within the on-line corpora, that demands for a technique that cannot rely on off-line processing.

In this paper, we address the problem by devising a novel technique to aggregate geo-located data about public places; the application context is to associate data provided by Google Places with Facebook pages concerning public places; the Klondike software tool implements this technique. Tests were conducted on a data set containing about 300 public places in Manchester (UK).

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Cited By

Lim SLee IChoi GChae JAshish EWard EPu C(2025)FastPlan: A three-step framework for accelerating drone-centric search operations in post-disaster reliefPervasive and Mobile Computing10.1016/j.pmcj.2025.102017107(102017)Online publication date: Feb-2025
https://doi.org/10.1016/j.pmcj.2025.102017
Fosci PPsaila G(2025)Evolving J-CO-QL+ with fuzzy evaluators for flexible queryisng of JSON data setsNeurocomputing10.1016/j.neucom.2025.129621633(129621)Online publication date: Jun-2025
https://doi.org/10.1016/j.neucom.2025.129621
Psaila GToccu M(2019)A Fuzzy Technique for On-Line Aggregation of POIs from Social Media: Definition and Comparison with Off-Line Random-Forest ClassifiersInformation10.3390/info1012038810:12(388)Online publication date: 7-Dec-2019
https://doi.org/10.3390/info10120388

Index Terms

On-line aggregation of POIs from Google and Facebook
1. Information systems
  1. Data management systems
    1. Information integration

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cover image ACM Conferences

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

April 2019

2682 pages

ISBN:9781450359337

DOI:10.1145/3297280

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University, Marietta, Georgia
,
George A. Papadopoulos
University of Cyprus, Nicosia, Cyprus

Copyright © 2019 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGAPP: ACM Special Interest Group on Applied Computing

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Published: 08 April 2019

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SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2019

Limassol, Cyprus

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Lim SLee IChoi GChae JAshish EWard EPu C(2025)FastPlan: A three-step framework for accelerating drone-centric search operations in post-disaster reliefPervasive and Mobile Computing10.1016/j.pmcj.2025.102017107(102017)Online publication date: Feb-2025
https://doi.org/10.1016/j.pmcj.2025.102017
Fosci PPsaila G(2025)Evolving J-CO-QL+ with fuzzy evaluators for flexible queryisng of JSON data setsNeurocomputing10.1016/j.neucom.2025.129621633(129621)Online publication date: Jun-2025
https://doi.org/10.1016/j.neucom.2025.129621
Psaila GToccu M(2019)A Fuzzy Technique for On-Line Aggregation of POIs from Social Media: Definition and Comparison with Off-Line Random-Forest ClassifiersInformation10.3390/info1012038810:12(388)Online publication date: 7-Dec-2019
https://doi.org/10.3390/info10120388

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