Document (#38402)

Author

Jacobfeuerborn, B.
Muraszkiewicz, M.

Title

Big data and knowledge : Extracting to automate innovation. An outline of a formal model

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

Imprint

Würzburg : Ergon Verlag

Year

2014

Pages

S.33-40

Series

Advances in knowledge organization; vol. 14

Abstract

This paper strives for elaborating a preliminary methodology to significantly increase the number of created innovations, be they of technological, economic, social, or any other nature. The need for having such a methodology stems from the fact that the most important factor of growth of contemporary and future economies and societies is innovation. A sine qua non pre-requisite of any type of innovativeness is knowledge. And there is the rub. The increase of knowledge worldwide is relatively slow, not up to the expectations and needs of scientific, business and other communities whose operations and growth are intrinsically knowledge dependent. We still suffer from the problem that a quick upsurge of data, towards what is dubbed big data, does not entail a comparable increase in knowledge. Thus we need methods and tools to discover and/or create more knowledge in a faster manner, and then-on top of that knowledge-to generate in a semi-automatic way more innovations. We propose a framework of a methodology to achieve this objective by tapping into big datasets for discovering, exploring and analysing knowledge and through combinatorial operations obtain innovative solutions and objects. In the paper we briefly present our approach to defining data, information, and knowledge and show how these notions could be applied to define the notion of innovation, then we present the process of generating innovations. We close the discussion by a few remarks on the role big data could play in boosting not only innovation but also science, perhaps leading to a new scientific paradigm and significant changes in knowledge organisation, and library and information sciences.

Content

Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/aiko_vol_14_2014_06.pdf.

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