| dc.description.abstract | Observing the last decade, semantic data on web is increasing exponentially with
time and it has become difficult for amateur users to retrieve information. An enhancement
of the existing web is semantic web where semantics is attached with
the information, allowing machine and users to work in cooperation. A RDF is a
standard model for data interchange on web, developed to interlink large amount
of Linked data for web semantic and to extract data efficiently in less amount of
time. To retrieve data from RDF database, SPARQL is used as a standard query
language. To use SPARQL it is necessary to have knowledge of all Uri’s which
is unique for each resource in DBpedia, but to figure out the Uri’s for all the resources
in not feasible and predicate is restricted to domain and range. In this
work we propose an interface which maps the keyword into URI, a major step
towards the automated SPARQL generation. Our system take keyword-SPARQL
as input and produces SPARQL as output which can be executed on SPARQL
endpoint. Studying the structure of DBpedia, we create an interface which provides
Auto suggestion technique to users to resolve the general problems caused
due to DBpedia structure and commonly occurring typing errors . Concept and
property mapping functions are used to map instances to concept in DBpedia and
WSD is used to resolve the predicate disambiguation. The advantage of this approach
is that users, who are unaware of the Schema of DBpedia and complexity
of SPARQL, can retrieve information. | |
