LOD: Linking and Querying Shared Data on Web

摘要

In today's era of digitization, due to the improper structuring of huge data available from various sources leading to poor interlinking of data, the web is not being utilized to its full potential. So, there is a need for re-establishing the structures of openly published data on the web by giving various specifications or frameworks of data published in cyberspace. With the aim of better utilization of web data and transition from keyword-based search to contextual search, the Semantic web has emerged as a key milestone. In this direction, Tim Berners Lee has proposed the conventions namely RDF and SPARQL for linking and querying the machine-processable shared data on the web and also a 5-star linked data scheme to distinguish the type of data on web based on its linking properties. This paper presents a Framework for Linking and querying open datasets on government portals, embedding semantics in the data by RDF alignment using state-of-art tools such as OpenRefine and Twinkle tool. The 5-Star scheme has been discussed and practical demonstration of enriching data is given. This clearly puts forward the transition from web of documents to web of data. This paper also presents the framework for translating the data in datasets to the graph based RDF data in Triple format. This translated data is then queried using standard SPARQL Queries showcasing the linked data fetched in tuple format. The data-graph of the resultant linked data is also presented.