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|Publisher=IEEE | |Publisher=IEEE | ||
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{{Publikation Details | {{Publikation Details | ||
|Abstract=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. | |Abstract=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=Smart Data Paper final.pdf, | + | |Download=Smart Data Paper final.pdf, |
|Forschungsgruppe=Betriebliche Informationssysteme | |Forschungsgruppe=Betriebliche Informationssysteme | ||
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Version vom 11. Oktober 2015, 14:04 Uhr
Towards a Taxonomy of Standards in Smart Data
Towards a Taxonomy of Standards in Smart Data
Published: 2015
Oktober
Buchtitel: Big Data, 2015 IEEE International Conference on
Verlag: IEEE
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
Betriebliche Informationssysteme