Data vs. Information
Data vs. Information
Author(s): Mihaela MALITA, Gheorghe M. ŞtefanSubject(s): Philosophy, General Reference Works, History of Philosophy, Metaphysics, Epistemology, Early Modern Philosophy, 19th Century Philosophy, Contemporary Philosophy, Structuralism and Post-Structuralism, Analytic Philosophy, Philosophy of Science, Phenomenology, Source Material
Published by: Editura Academiei Române
Keywords: Data; information; machine learning;
Summary/Abstract: Big Data technologies are about how to extract information from the rough data. The intermediate stage is represented by preprocessed data. But, even from preprocessed data to information the way is long and complex. First of all, we must understand what information means. There is no widely accepted definition for information. By proposing and using a working definition for the concept of information, we present the main techniques involved on the way from the rough data to the useful information. How the information is generated, extracted and how it emerges is shortly introduced. The role played by information in the knowledge process leads to the way information, as structure acting by its meaning, must reconsider the philosophical approach of existence.
Journal: NOEMA
- Issue Year: XVII/2018
- Issue No: 1
- Page Range: 1-6
- Page Count: 6
- Language: English
