A3 Book section, Chapters in research books
Toward evolving knowledge ecosystems for big data understanding (2014)
Ermolayev, V., Akerkar, R., Terziyan, V., & Cochez, M. (2014). Toward evolving knowledge ecosystems for big data understanding. In R. Akerkar (Ed.), Big Data Computing (pp. 3-56). Taylor & Francis. https://doi.org/10.1201/b16014-3
JYU authors or editors
Publication details
All authors or editors: Ermolayev, Vadim; Akerkar, Rajendra; Terziyan, Vagan; Cochez, Michael
Parent publication: Big Data Computing
Parent publication editors: Akerkar, Rajendra
ISBN: 978-1-4665-7837-1
Publication year: 2014
Pages range: 3-56
Number of pages in the book: 564
Publisher: Taylor & Francis
Place of Publication: Boca Raton, FL
Publication country: United States
Publication language: English
DOI: https://doi.org/10.1201/b16014-3
Publication open access: Not open
Publication channel open access:
Abstract
...
This chapter offers a possible approach in addressing the problem of
“understanding” Big Data in an effective and efficient way. The idea is making adequately grained and expressive knowledge representations and fact
collections evolve naturally, triggered by new tokens of relevant data coming
along. Pursuing this way would also imply conceptual changes in the Big Data
Processing stack. A refined semantic layer has to be added to it for providing adequate interfaces to interlink horizontal layers and enable knowledge related functionality coordinated in top-down and bottom-up directions.
Free keywords: evolving knowledge ecosystem; volume
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2014
JUFO rating: 2