The combination of the two quick creating logical exploration regions Semantic Web and Web Mining is called
Semantic Web Mining. The immense increment in the measure of Semantic Web information turned into an ideal objective for
some specialists to apply Data- Mining methods on it. Semantic Web Data is an extra for the World-Wide Web, and the primary
goal of this is to make the web information machine-comprehensible. Resource Description Framework (RDF) is one of the
advancements used to encode and speak to the semantics information as metadata. It's most likely to host the semantic web data
on cloud due to its vast requirement, and also it can be managed well in terms of storage and evaluation. Map-reduce is a
programming model that is well known for its scalability, flexibility, parallel processing, and cost-effective solution. Hadoop and
Spark are the popular open-source tools for handling (Map-Reduce) and storing (HDFS) a huge- amount of data. Semantic web
data can be processed using the SPARQL, which is
