Abstract
Twitter, a popular microblogging platform, is at the epicenter of the social media explosion, with millions of users being able to create and publish short posts, referred to as tweets, in real time. The application of the OLAP (On-Line Analytical Processing) on large volumes of tweets is a challenge that would allow the extraction of information (especially knowledge) such as user behavior, new emerging issues, trends… In this paper, we pursue a goal of providing a generic multidimensional model dedicated to the OLAP of tweets. The proposed model reflects on some specifics such as recursive references between tweets and calculated attributes.
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Ben Kraiem, M., Feki, J., Khrouf, K., Ravat, F., Teste, O.: OLAP of the tweets: from modeling toward exploitation. In: 8th International Conference on Research Challenges in Information Science (IEEE RCIS 2014), Marrakesh, Morocco, May 28–30, 2014, pp. 45–55 (2014)
Michelson, M., Macskassy, S.: A. Discovering users’ topics of interest on Twitter: a first look. In: Proc. AND, pp. 73–80 (2010)
Mathioudakis, M., Koudas, N.: Twittermonitor: trend detection over the twitter stream. In: Proceedings of 2010 International Conference on Management of Data, SIGMOD 2010
Bringay, S., Béchet, N., Bouillot, F., Poncelet, P., Roche, M., Teisseire, M.: Towards an on-line analysis of tweets processing. In: Hameurlain, A., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011, Part II. LNCS, vol. 6861, pp. 154–161. Springer, Heidelberg (2011)
Rehman, N., Mansmann, S., Weiler, A., Scholl, M.H.: Building a data warehouse for twitter stream exploration. In: ACM Fifteenth International Workshop on Data Warehousing and OLAP, DOLAP 2012
Dayal, U., Gupta, C., Castellanos, M., Wang, S., Garcia-Solaco, M.: Of cubes, DAGs and hierarchical correlations: a novel conceptual model for analyzing social media data. In: Atzeni, P., Cheung, D., Ram, S. (eds.) ER 2012 Main Conference 2012. LNCS, vol. 7532, pp. 30–49. Springer, Heidelberg (2012)
Gallinucci, E., Golfarelli, M., Rizzi, S.: Meta-stars: multidimensional modeling for social business intelligence. In: Proceeding of ACM International Workshop on Data Warehousing and OLAP, DOLAP, pp. 11–18 (2013)
Kimball, R.: The data warehouse toolkit: practical techniques for building dimensional data warehouses. John Wiley & Sons (1996)
AlchemyAPI, Alchemyapi:TransformingTextintoKnowledge (2008). http://www.alchemyapi.com
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Ben Kraiem, M., Feki, J., Khrouf, K., Ravat, F., Teste, O. (2015). OLAP4Tweets: Multidimensional Modeling of Tweets. In: Morzy, T., Valduriez, P., Bellatreche, L. (eds) New Trends in Databases and Information Systems. ADBIS 2015. Communications in Computer and Information Science, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-23201-0_9
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DOI: https://doi.org/10.1007/978-3-319-23201-0_9
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