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Novel Technique for Storing Knowledge using Hypergraphs and NoSQL

by Rahul Mishra, Anala A. Pandit
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 51
Year of Publication: 2018
Authors: Rahul Mishra, Anala A. Pandit
10.5120/ijca2018917327

Rahul Mishra, Anala A. Pandit . Novel Technique for Storing Knowledge using Hypergraphs and NoSQL. International Journal of Computer Applications. 179, 51 ( Jun 2018), 29-33. DOI=10.5120/ijca2018917327

@article{ 10.5120/ijca2018917327,
author = { Rahul Mishra, Anala A. Pandit },
title = { Novel Technique for Storing Knowledge using Hypergraphs and NoSQL },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2018 },
volume = { 179 },
number = { 51 },
month = { Jun },
year = { 2018 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number51/29525-2018917327/ },
doi = { 10.5120/ijca2018917327 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:58:57.618100+05:30
%A Rahul Mishra
%A Anala A. Pandit
%T Novel Technique for Storing Knowledge using Hypergraphs and NoSQL
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 51
%P 29-33
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Traditionally, major focus in knowledge management has been on various techniques of representation of knowledge. In the current scenario the information is available is more often, in unstructured formats. Representation and storage of this information is posing new challenges. This paper introduces the initial approach to knowledge management and the problems faced during knowledge collection. It also describes the use of hypergraphs and NoSQL for knowledge representation and the way data can be stored as information. This paper describes a novel technique for representation of knowledge and also proposes storage solution for the unstructured information in an effective and flexible manner as compared to traditional way of knowledge representation.

References
  1. Modelling Data with Hypergraphs, Szymon Klarman, 2017
  2. Artificial Intelligence Support of Knowledge Transformation in Knowledge Management Systems, Tatiana V. Avdeenko, Ekaterina S. Makarova, Irina L. Klavsuts, 2016
  3. The Artificial Intelligence in Personal Knowledge Management, Lixin Diao1, Mingzhang Zuo1, Qiang Liu1, 2009
  4. https://grakn.ai/, available on 06/06/2018
  5. https://dev.grakn.ai/academy/graql-intro.html, available on 06/06/2018
  6. https://dev.grakn.ai/academy/get-queries.html, available on 06/06/2018
  7. https://dev.grakn.ai/academy/insert-delete-queries.html, available on 06/06/2018
  8. https://dev.grakn.ai/academy/schema-elements.html, available on 06/06/2018
  9. https://dev.grakn.ai/academy/conceptual-modeling- intro.html, available on 06/06/2018
  10. https://dev.grakn.ai/academy/schema-building.html, available on 06/06/2018
  11. https://dev.grakn.ai/academy/schema-building-continued.html, available on 06/06/2018
  12. https://dev.grakn.ai/academy/loading-files.html, available on 06/06/2018
  13. https://searchdatamanagement.techtarget.com/definition/NoSQL-Not-Only-SQL, available on 06/06/2018
Index Terms

Computer Science
Information Sciences

Keywords

Knowledge management Hypergraphs NoSQL

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