Abstract
This paper describes a unique approach to generate the graph based ontology. Ontology is created from text graph. Many other tools are available to create the ontology but each tool has its own method and complex structure to generate ontology. Ontology is very popular in many fields today and also became the necessary part of www. In this paper, the proposed tool that is used to generate the ontology consists of four different phases. Each phase has its own purpose. First, the text graph is input in notepad and implementing in java (eclipse). Second, the output of first step is converts into XML file. Third, the XML file is parsed with the help of DOM or SAX parser. In the last step, XML file is converted into RDF file which is validating by the help of online RDF parser. In the future, the RDF file is converted into RDFS and in the last ontology is created. After this, the working of proposed tool is improved and its produce more accurate result in term of accuracy.
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Saeed, A., Kamran, M.S., Khan, S.S., Kamran, R.M. (2019). OntoGen Based Ontology Concepts Generation from Graph. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_50
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DOI: https://doi.org/10.1007/978-981-13-6052-7_50
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