Transforming Relational Database to Ontology Using Multiple Tables
R. Priyanka, V. Sujatha · CiiT international journal of data mining and knowledge engineering · 2019
Ontology is a data model for sharing knowledge and the general information on the concept or word. Data are sharable, repeatedly used in ontology. Ontology is a programming language using the database component for triggering and transforming relational database to ontology model to increase the power of data. Ontology is using OWL (WEB ONTOLOGY LANGUAGE) it is like SQL (STRUCTURE QUERY LANGUAGE). Reason for moving relational database to ontology is to map each table to class, each column mapping to the database property and each row are mapping to an instance. It can be used to only move the data. Transforming table is only possible in Relational database to ontology and not use in reverse direction. ONTOLOGY is used for developing the set of data and their structure of data for other programs. Program is solved by the method of application software agent using ontology. Ontology files are stored in relational database for continuing storage of data, so it can avoid the lacking of data. Reason for moving relational database to ontology is mapping of each table to class.