Open AccessConcept Relation Knowledge Visualization with CR Logic using Neo4j
Author(s) -
Praveena Rachel Kamala S.,
S. Justus
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9792.118419
Subject(s) - computer science , visualization , relation (database) , information visualization , field (mathematics) , graph , information retrieval , knowledge extraction , data science , data mining , theoretical computer science , mathematics , pure mathematics
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.