while data mining has enjoyed great popularity and success in recent years, Semantic web is shaping up as a next big step in the evolution of World Wide Web. It is the way web is growing as a smarter cyberspace. In field of Information and communication technology huge amount of data is available that need to be turned into knowledge. On the one side Data Mining is a nontrivial extraction of implicit, previously unknown and potentially useful knowledge from data in databases and on the other side Semantic web developing new platform to represent extracted knowledge in both the machine and human understandable format. The aim of this paper is to explore the concept of data mining in the context of semantics. Paper uses a basic input dataset with an open source software WEKA and a commercial one SAS for knowledge discovery; further this knowledge is represented in human understandable format with NLP (Natural Language Processing library) and in machine understandable format (RDF) with an indigenous algorithm implemented with java.