A frame work to construct automatic ontology with combine and partitioner logics
Uma Pavan Kumar Kethavarapu, S. Saraswathi
Abstract
Uma Pavan Kumar Kethavarapu, S. Saraswathi
Abstract
Data quality comes from consistency which is dependent on reliable source. The concept of ontology is used to represent a common knowledge sharing to various users in the distributed manner. In the literature we can see various ontologies like medical, biotechnology and automobile. All these ontologies allows various levels of users so as to share the knowledge, but unfortunately the construction of automatic ontology, change management in the source so as to track the modifications and update the changes which leads to dynamic ontologies are very complex. The current article explains the automatic ontology construction in simple and efficient manner along with the method of change management in the flexible way. The dynamic ontology construction is the leading aspect of the article, by taking the changes at the source we are merged the changes to the ontology. The importance of the research is to build a recommendation system with job portals data which will help the recruiters and job seekers in searching of jobs, and more over there is no common framework of activities to tag automatic ontology construction, change tracking to identify the modifications in source data and construction of dynamic ontology. We believe that the work outperforming when compared with other ontology construction methods. The innovation here is a frame work that holds all the activities like ontology construction, change management and dynamic ontology generation.
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Data quality comes from consistency which is dependent on reliable source. The concept of ontology is used to represent a common knowledge sharing to various users in the distributed manner. In the literature we can see various ontologies like medical, biotechnology and automobile. All these ontologies allows various levels of users so as to share the knowledge, but unfortunately the construction of automatic ontology, change management in the source so as to track the modifications and update the changes which leads to dynamic ontologies are very complex. The current article explains the automatic ontology construction in simple and efficient manner along with the method of change management in the flexible way. The dynamic ontology construction is the leading aspect of the article, by taking the changes at the source we are merged the changes to the ontology. The importance of the research is to build a recommendation system with job portals data which will help the recruiters and job seekers in searching of jobs, and more over there is no common framework of activities to tag automatic ontology construction, change tracking to identify the modifications in source data and construction of dynamic ontology. We believe that the work outperforming when compared with other ontology construction methods. The innovation here is a frame work that holds all the activities like ontology construction, change management and dynamic ontology generation.
Key concepts: Ontology, Computer science, Ontology-based data integration, Suggested Upper Merged Ontology, Process ontology, Upper ontology, Consistency (knowledge bases), Construct (python library)