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Informetric mapping of "big data" in FI-WARE

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Published:18 June 2014Publication History

ABSTRACT

Today, governmental entities are embracing new trends in information technology. One of the technological developments that generate more excitement is Big Data; because this technology let us analyze the huge amount of information produced by the government and is useful for decisions making. On the other hand, the Future Internet platform of the European Community (FI- WARE) is one of the most powerful trends around the world and has aroused more interest in governments. This technology is based on a set of Generic Enablers (GE) for various applications, including Big Data. The FI-WARE is a platform under construction and knowing how this process performed is essential to join in this monumental effort and take advantages of its benefits. This document presents the results of the application of text and data mining techniques as well as informetric mapping to gain understanding regarding the development of Big Data technology present in the FI- WARE.

References

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  1. Informetric mapping of "big data" in FI-WARE

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    • Published in

      cover image ACM Other conferences
      dg.o '14: Proceedings of the 15th Annual International Conference on Digital Government Research
      June 2014
      365 pages
      ISBN:9781450329019
      DOI:10.1145/2612733

      Copyright © 2014 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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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 June 2014

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      • research-article

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      dg.o '14 Paper Acceptance Rate36of62submissions,58%Overall Acceptance Rate150of271submissions,55%

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