Journal: American Journal Of Computer Sciences And Applications
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Abstract
An artificial intelligence solution for automation of classroom note ontology generation using semantic knowledge graph was proposed. This research serves as a ground work solution to challenges faced in schools as a result of inadequate and poor note formation in Nigeria school context. The solution leverages on semantic web while emphasizing on web scrapping concept, output from the former leading to enhancement by Apache Stanbol which generates ontologies adoptable and viewable by Neo4j database tool. The application extended the Online Education System (OES) learning management system while using Jboss application server and this leads to improvement of OES learning management system with Artificial Intelligence learning platform. In implementing this work, Java Programming Language Enterprise Edition (J2EE) was used with MySQL database with Apache Stanbol Restful API. Neosemantics API was also used in Neo4j Graph Database for displace of semantic knowledge graph generated. Finally, based on the topic area resource location, a Resource Development File (RDF) or Turtle file was generated by the system and this resulted in ontologies in a file