Open AccessA Knowledge Representation Model using Concept-Relation Graph
Author(s) -
Praveena Rachel Kamala S.,
S. Justus
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1034.1291s319
Subject(s) - computer science , relation (database) , representation (politics) , process (computing) , knowledge representation and reasoning , knowledge graph , graph , conceptual graph , data science , information retrieval , data mining , theoretical computer science , artificial intelligence , programming language , politics , political science , law
Huge volume of relevant and irrelevant information is available from different sources for gaining knowledge about a system. If the required data is in a structured form, then the fact can be easily understood otherwise the process becomes laborious and results are vague after intense analysis. In this paper, we are proposing a framework for fetching knowledge from unstructured source of data. The algorithms proposed identifies the concepts and separates the concepts and relation words, enables to add new concepts and also modify the old concept word with new concept and locate the concept. This Concept-Relation Model enables the system to work according to the users’ connivance and deliveries accurate knowledge. This model does not manipulate or interpret the information provided but only represent and share the desired knowledge.