Linked Data: a best practice for better knowledge transaction

In recent years there has been much spoken, written and published about the semantic web. The main goal of this future web is to make it understandable to the machines. The traditional web is taken as a global document space where the documents are interlinked by using the hypertext links. The big question of interlinking data is still there. The fundamental prerequisite of the semantic web is the existence of large amount of meaningfully interlinked RDF data on the web. To date this prerequisite has not been widely met, leading to criticism of the broader endeavour and hindering the progress of developers wishing to build Semantic Web applications. Currently many attempts are going on to bring this data on Web like the Open Data movement which tries to bring the royalty free datasets into RDF data and interlinks them. Linked Data is about using the Web to connect related data that wasn’t previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. These best practices could lead to better knowledge transactions in the future. This paper discusses the concept and technical principles of Linked Data by describing the underlying architecture, tools and frameworks available in the context of Linked Data.