Visualizing semantic web
Meera Mudholkar, Jagannath V. Aghav, Saloni Peswani, Härish Jädhäø, Seema Kela, S. K. Hiremath · 2012
Extensive volume of information spread across the web poses a major challenge for identification of relevant information. Attaching concise meaning to this information allows for effective retrieval and usage. In this paper, we propose an interactive component that extracts pertinent information from this structured data and presents it to the user through an innovative graph mechanism, namely the spring graph. Adobe Flash builder forms the base for spring graph generation, whereas deduction of desired result from semantic data is handled by Jena framework and SPARQL query language. RDF technology is used to structure information aggregated from various web sources. The current implementation reads RDF file input and visualizes it in the form of nodes of the spring graph. The solution is validated through relevant experiments that test the efficiency and proper functionality of the system. The proposed mechanism renders better quality graphs, visual output and concrete results instead of long list of documents.