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The Twitter Observatory

Exploring Social and Semantic Relationships in Social Media
  • Qingpeng ZhangEmail author
  • Bassem Makni
  • James A. Hendler
Conference paper
  • 611 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 480)

Abstract

With the rapid growth of social media and the mature of Web Science research, there is a crucial need for a new generation of open analytics environment, which are able to observe and analyze what is happening in social media. To meet this need, we propose the Twitter Observatory, which is designed to collect data from Twitter in real-time, and enable the analytics of both social and semantic data. This paper introduces the development and implementation of a work-in-progress prototype of the proposed Twitter Observatory, as well as discussions of our ongoing research.

Keywords

Social Media Commentators DBpedia Entry Linked Open Data Proposed Prototype System DBpedia Spotlight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work is funded under the Rensselaer endowment to the Tetherless World Constellation.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Qingpeng Zhang
    • 1
    Email author
  • Bassem Makni
    • 2
  • James A. Hendler
    • 2
  1. 1.Department of Systems Engineering and Engineering ManagementCity University of Hong KongKowloonHong Kong SAR, China
  2. 2.Tetherless World Constellation, Rensselaer Polytechnic InstituteTroyUSA

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