Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

TL;DR

This paper explores the fundamental nature of big data, its relationship with knowledge, and proposes a multi-dimensional methodology and infrastructure for managing, analyzing, and discovering knowledge from big data.

Contribution

It introduces a comprehensive framework for mapping big data into knowledge space and discusses the necessary cognitive cyber-infrastructure for effective big data management and knowledge discovery.

Findings

Proposes a mapping from big data to knowledge space.

Defines the fundamental challenges of big data computing.

Suggests a multi-dimensional methodology for big data analysis.

Abstract

Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.