Framework based ontology for heterogenous Big Data correlation in cloud infrastructure

摘要

People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of Big Data. Big Data in organizations have transformed the way organizations across industries implement new approach to handle huge amount of data. Organizations rely to this data to achieve specific business priorities. The challenge is how to capture this data from different data sources. The aim of this paper is to propose a framework using an ontology to capture relevant information from different data sources. In order to achieve this aim, we review past literature related to the model based ontology that incorporate both internal data and external data sources. The results from the this paper will develop an incremental approach to extend the ontology with relevant external knowledge bases by clustering and annotating the external data to concepts and properties within the ontology.