Concept Relation Knowledge Visualization with CR Logic using Neo4j
Praveena Rachel Kamala S1, Justus S2
1Praveena Rachel Kamala S, Research Scholar, School of Computing Science and Engineering, VIT University, Chennai, India.
2Justus S, Associate Professor, School of Computing Science and Engineering, VIT University, Chennai, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8475-8480 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9792118419/2019©BEIESP | DOI: 10.35940/ijrte.D9792.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Knowledge Visualization using graphical structure is a field in which the researchers have a strong influence on comprehensibility. Based on the information provided by the users, the knowledge is created. By mapping the logic generated based on the knowledge, we have created a new graphical structure using Cypher Query Language that shows the connectivity between each concept and their relationship. These knowledge visualization techniques are mainly suitable in finding the outcome of a situation and also in discovering new knowledge from the existing or by adding new information. An automated code is generated to build the graph structure for visualization in Neo4j. The reduction in content size and graphical structure helps the user to easily gain knowledge about the system.
Keywords: CR Logic, Cypher Query Language (CQL), Knowledge Visualization, Neo4j..
Scope of the Article: Natural Language Processing.