Abstract
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 lan guage. 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 seman tic web technologies. One way to achieve a user friendly interface is the use of an effective tool to convert a natural language q uery into a standard SPARQL query. This paper introduces an efficien t way of information retrieval from online repositories and a system to match user entered keywords with related ontologies t o format a query. This paper proposes a solution based on a previously modelled framework and introduces algorithms for que ry tagging and keyword mapping in order to formulate SPARQL queries. Finally, the paper describes examples using pro totype user interface.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Simulation Systems Science & Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.