*Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: ajay.rana@shobhituniversity.ac.in
**School of Computer Science and Engineering, Faculty of Engineering and Technology, Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, Uttar Pradesh, India, Email id: tarun.sharma@shobhituniversity.ac.in
Online Published on 03 January, 2022.
The World Wide Web Consortium (W3C), an international standards organization for the web, promotes Semantic Web. It's a more advanced version of the existing web that makes it simpler to find, reuse, combine, and distribute data. As a result, the Semantic Web is seen as a cross-platform integrator of information, data applications, and frameworks. Today's big data is often referred to as having three Vs: volume, variety, and velocity. The term "variety of data" refers to how to cope with diverse data formats and a large number of distinct data sources. As a result, large data variety challenges are critical for resolving a wide range of real-world issues. The semantic web is used as an integrator to combine data from multiple sources and formats, such as online services, relational databases, and spreadsheets. Because of the variety of the data, this task poses a number of challenges that may not be completely resolved with the current approach. This article attempts to concentrate on the many difficulties that come with integrating data from various kinds of sources, as well as how various semantic web technologies and tools are utilized to bring disparate data together.
Big Data, Disparate Data, Information Extraction, Semantic Web, World Wide Web
