User Queries for Semantic Search Engine.

The amount of linked open data stored on the internet is increasing hugely, yet it is difficult for non-expert users to access the semantic data without having knowledge of SPARQL language. Whilst the modern semantic search engines tackled the problem with standard user interfaces, these interfaces are not very usable for the users with no or little knowledge of semantic web technologies. One way to achieve a user friendly interface is the use of an effective tool to convert a natural language query into a standard SPARQL query. This paper introduces an efficient way of information retrieval from online repositories and a system to match user entered keywords with related ontologies to format a query. This paper proposes a solution based on a previously modelled framework and introduces algorithms for query tagging and keyword mapping in order to formulate SPARQL queries. Finally, the paper describes examples using prototype user interface. [ABSTRACT FROM AUTHOR]