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Web data management through crowdsourcing upon social networks. / Brambilla, Marco; Bozzon, Alessandro.

Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. IEEE, 2012. p. 1123-1127 6425607.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Harvard

Brambilla, M & Bozzon, A 2012, Web data management through crowdsourcing upon social networks. in Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012., 6425607, IEEE, pp. 1123-1127, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey, 26/08/12. https://doi.org/10.1109/ASONAM.2012.193

APA

Brambilla, M., & Bozzon, A. (2012). Web data management through crowdsourcing upon social networks. In Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 (pp. 1123-1127). [6425607] IEEE. https://doi.org/10.1109/ASONAM.2012.193

Vancouver

Brambilla M, Bozzon A. Web data management through crowdsourcing upon social networks. In Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. IEEE. 2012. p. 1123-1127. 6425607 https://doi.org/10.1109/ASONAM.2012.193

Author

Brambilla, Marco ; Bozzon, Alessandro. / Web data management through crowdsourcing upon social networks. Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. IEEE, 2012. pp. 1123-1127

BibTeX

@inproceedings{ca17489a2a99488199ef387e1eb9b4da,
title = "Web data management through crowdsourcing upon social networks",
abstract = "Retrieval and management of Web data is becoming a more and more complex problem, due to the amount of information to be dealt with, to the diversity of the information sources and of the data formats, and to the evolving expectations of users. More and more users are increasingly relying on social interaction to complete and validate the results of their online activities. For instance, scouting {"}interesting{"} results, or suggesting new, unexpected search directions in information seeking processes, occurs in most times aside of the search systems and processes, possibly instrumented and mediated by a social network. Moreover, tasks such as quality assessment, opinion making, and sense extraction cannot be completely delegated to automatic procedures. In this paper we propose a paradigm that embodies crowds and social network communities as first-class sources for the information management and extraction on the Web. Our approach aims at filling the gap between traditional Web systems (CMS, search engines and others), which operate upon world-wide information, with social systems, capable of interacting with real people, in real time, to capture their opinions, suggestions, and emotions by leveraging crowdsourcing practices and making them viable upon a social network. Thanks to the proposed approach, the data management and manipulation experience of users can be enormously enriched.",
keywords = "Crowdsourcing, Semantic web, Social network, Web information system",
author = "Marco Brambilla and Alessandro Bozzon",
year = "2012",
doi = "10.1109/ASONAM.2012.193",
language = "English",
isbn = "9780769547992",
pages = "1123--1127",
booktitle = "Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012",
publisher = "IEEE",
address = "United States",

}

RIS

TY - GEN

T1 - Web data management through crowdsourcing upon social networks

AU - Brambilla, Marco

AU - Bozzon, Alessandro

PY - 2012

Y1 - 2012

N2 - Retrieval and management of Web data is becoming a more and more complex problem, due to the amount of information to be dealt with, to the diversity of the information sources and of the data formats, and to the evolving expectations of users. More and more users are increasingly relying on social interaction to complete and validate the results of their online activities. For instance, scouting "interesting" results, or suggesting new, unexpected search directions in information seeking processes, occurs in most times aside of the search systems and processes, possibly instrumented and mediated by a social network. Moreover, tasks such as quality assessment, opinion making, and sense extraction cannot be completely delegated to automatic procedures. In this paper we propose a paradigm that embodies crowds and social network communities as first-class sources for the information management and extraction on the Web. Our approach aims at filling the gap between traditional Web systems (CMS, search engines and others), which operate upon world-wide information, with social systems, capable of interacting with real people, in real time, to capture their opinions, suggestions, and emotions by leveraging crowdsourcing practices and making them viable upon a social network. Thanks to the proposed approach, the data management and manipulation experience of users can be enormously enriched.

AB - Retrieval and management of Web data is becoming a more and more complex problem, due to the amount of information to be dealt with, to the diversity of the information sources and of the data formats, and to the evolving expectations of users. More and more users are increasingly relying on social interaction to complete and validate the results of their online activities. For instance, scouting "interesting" results, or suggesting new, unexpected search directions in information seeking processes, occurs in most times aside of the search systems and processes, possibly instrumented and mediated by a social network. Moreover, tasks such as quality assessment, opinion making, and sense extraction cannot be completely delegated to automatic procedures. In this paper we propose a paradigm that embodies crowds and social network communities as first-class sources for the information management and extraction on the Web. Our approach aims at filling the gap between traditional Web systems (CMS, search engines and others), which operate upon world-wide information, with social systems, capable of interacting with real people, in real time, to capture their opinions, suggestions, and emotions by leveraging crowdsourcing practices and making them viable upon a social network. Thanks to the proposed approach, the data management and manipulation experience of users can be enormously enriched.

KW - Crowdsourcing

KW - Semantic web

KW - Social network

KW - Web information system

UR - http://www.scopus.com/inward/record.url?scp=84874248028&partnerID=8YFLogxK

U2 - 10.1109/ASONAM.2012.193

DO - 10.1109/ASONAM.2012.193

M3 - Conference contribution

SN - 9780769547992

SP - 1123

EP - 1127

BT - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

PB - IEEE

ER -

ID: 45467711