Search Articles

Home / Articles

Memory and Time aware Automated Job Ontology Construction with reduced Ontology Size Based Semantic Similarity

. Dr. N. Kumaresh, Dr. S. Oswalt Manoj, Dr. S. Thanga Ramya, Dr. V. Gladis Pushparathi and Dr. D. Praveena


Abstract

Job ontology is a way of providing details about the tasks and requirements needed for a particular kind of job. Construction and updating of job ontology play a more important role in ensuring the accurate and reliable retrieval of information about the jobs. This is ensured in a research method by introducing Domain Ontology Construction Framework (DOCF) which would support the dynamic and user interactive based ontology construction. However, in the previous method, certain issues related to memory may be raised because of the dynamic updation of the ontology through run time retrieval of the details. By finding the similarity among the ontologies, this issue can be avoided. This is resolved by the introduction of a technique named Semantic Similarity based Job Ontologies Size Reduction (SSJOSR). Here, the semantic similarity among the knowledge ontology and the job ontology is identified and the interconnected information are directly connected together to avoid the memory consumption problems. Semantic distance is the metric that is used to measure the similarity among two entities. The proposed approach is implemented and evaluated from and we can evolve better results when compared to the predominant re- search scheme. This improves the accuracy and the results evidently portray the appropriate collection of the scaling stages and also the likeness measures. This reduces the size of ontologies in a noteworthy scale without misplacing the significant details.

 

Keywords - Semantic Distance, Semantic relatedness, Ontology, DOCF, SSJOSR.

Download :