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2015 | OriginalPaper | Buchkapitel

MASIR: A Multi-agent System for Real-Time Information Retrieval from Microblogs During Unexpected Events

verfasst von : Imen Bizid, Patrice Boursier, Jacques Morcos, Sami Faiz

Erschienen in: Agent and Multi-Agent Systems: Technologies and Applications

Verlag: Springer International Publishing

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Abstract

Microblogs have proved their potential to attract people from all over the world to express voluntarily what is happening around them during unexpected events. However, retrieving relevant information from the huge amount of data shared in real time in these microblogs remain complex. This paper proposes a new system named MASIR for real-time information retrieval from microblogs during unexpected events. MASIR is based on a decentralized and collaborative multi-agent approach analyzing the profiles of users interested in a given event in order to detect the most prominent ones that have to be tracked in real time. Real time monitoring of these users enables a direct access to valuable fresh information. Our experiments shows that MASIR simplifies the real-time detection and tracking of the most prominent users by exploring both the old and fresh information shared during the event and outperforms the standard centrality measures by using a time-sensitive ranking model.

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Metadaten
Titel
MASIR: A Multi-agent System for Real-Time Information Retrieval from Microblogs During Unexpected Events
verfasst von
Imen Bizid
Patrice Boursier
Jacques Morcos
Sami Faiz
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-19728-9_1