Ontological Based Approach of Integrating Big Data: Issues and Prospects

Abstract

Sematic Web is an extended form of the current web which provides an easier way to search, reuse, combine and share the information. Therefore it is subsequently viewed as a combiner crosswise over various things, data applications, and frameworks. It is provided by World Wide Web consortium (W3C) and international standardization body of the web. Today’s big data is frequently marked as consisting of 3 V’s: volume, velocity and variety. Variety of data discusses to deal with different formats of data generating from various data sources. Thus the problems of big data variety are important for solving many real-world difficulties. Semantic Web is used as an integrator to incorporate data from various kinds of sources like web services, relational databases, and spreadsheets etc. and in different formats. Due to the presence of data heterogeneity, this work presents various difficulties that may not be totally settled with the existing system. This paper is an attempt to focus on the various issues that involved in integrating data and reviews the related work that has been carried out in the previous work and finally proposes the model for integrating data from different types of sources.