Home |  DEUTSCH |  Contact |  Imprint |  Login |  KIT

Inproceedings3482

Aus Aifbportal

Wechseln zu: Navigation, Suche

(This page contains COinS metadata)

Towards a Taxonomy of Standards in Smart Data


Alexander Lenk, Leif Bonorden, Astrid Hellmanns, Nico Rödder, Stefan Jähnichen



Published: 2015 Oktober

Buchtitel: Big Data, 2015 IEEE International Conference on
Verlag: IEEE
Erscheinungsort: Santa Clara
Nicht-referierte Veröffentlichung
BibTeX

Kurzfassung
The usage of large amounts of data has an immense potential for global economic growth and the competitiveness of countries with high technological standards. Vast amounts of data from different sources are collected and analyzed in order to seek economic profit and competitive advantages for companies and society in general. To gain profit from such data, it needs to be analyzed, processed, and interpreted. Thus, knowledge can be created and such generation of knowledge within the analysis and interpretation process constitutes the difference between “Big” and “Smart” Data. In this paper we present a taxonomy to develop standards in the field of Smart Data. It consists of 8 challenges that need to be addressed by standards and 13 fields of standardization.

Download: Media:Smart Data Paper final.pdf



Forschungsgruppe

Betriebliche Informationssysteme