Abstract:
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.