User Queries for Semantic Search Engine
2015
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.
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