Next Article in Journal
The Law of “Information Conversion and Intelligence Creation”
Previous Article in Journal
Information Philosophy, Document and DNA: The “Document Man” and the Biobanks
Article Menu
Issue 3 (IS4SI 2017) cover image

Article Versions

Export Article

Open AccessProceedings
Proceedings 2017, 1(3), 212;

Knowledge Processing as Structure Transformation

University of California, Los Angeles (UCLA), 700 Tiverton Ave Los Angeles, CA 90095, USA
C3DNA, 7533 Kingsbury Ct., Cupertino, CA 95014, USA
SCUTI AI, 271 Ely Place Palo Alto, CA 94306, USA
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
Author to whom correspondence should be addressed.
Published: 9 June 2017
(This article belongs to the Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY)
PDF [186 KB, uploaded 25 January 2018]


As big enterprises and consumers communicate, collaborate and conduct commerce almost at the speed of light using voice, data and video, information explosion (a term first used in 1941, according to the Oxford English Dictionary) has created a need for its accumulation, processing and integration to create “knowledge.” Knowledge processing, in turn, allows us to use the information to make strategic decisions and improve the efficiency of the processes involved. Therefore, knowledge processing systems, their theory and practice are receiving renewed focus. These systems include processes and activities such as cognition, knowledge production, learning, knowledge acquisition, reasoning, management and application. In this paper we discuss how knowledge processing can be viewed as manipulation of various knowledge structures and their transformation. We argue that efficient organization of knowledge processing has to be based on structure transformations of data represented in a symbolic form.
Keywords: knowledge structures; cognition; knowledge transformation; named data networks knowledge structures; cognition; knowledge transformation; named data networks
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Burgin, M.; Mikkilineni, R.; Mittal, S. Knowledge Processing as Structure Transformation. Proceedings 2017, 1, 212.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
Proceedings EISSN 2504-3900 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top