Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Data Warehousing on Nonconventional Data

  • Rafael BerlangaEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_80670


Non-conventional data are any kind of data that are useful for business intelligence (BI) but that cannot be directly managed with traditional data warehousing (DW) technology. Non-conventional data cover a great variety of user-generated contents such as domain knowledge, corporate documents like contracts and e-mails, news feeds, messages posted on social media, and so on. Non-conventional data sources have in common a semi-structured, dynamic, and text-rich nature, which make difficult their integration within traditional corporate information systems (including data warehouses). Nowadays, non-conventional data mainly reside in the Web, adopting the standard formats proposed by the World Wide Web Consortium (W3C), like HTML, XML, RSS, RDF, etc. This entry is focused on those approaches aimed to either integrate non-conventional data with traditional DW/OLAP or to perform ad hoc DW of these data sources. This entry does not account for approaches that adopt Web languages...

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Languages and SystemsUniversitat Jaume ICastellónSpain

Section editors and affiliations

  • Torben Bach Pedersen
    • 1
  • Stefano Rizzi
    • 2
  1. 1.Department of Computer ScienceAalborg UniversityAalborgDenmark
  2. 2.DISIUniversity of BolognaBolognaItaly