An Autocompletion Mechanism for Enriched Keyword Queries to RDF Data Sources

This article introduces a novel keyword query paradigm for end users in order to retrieve precise answers from semantic data sources. Contrary to existing approaches, connectors corresponding to linking words or verbal structures from natural languages are used inside queries to specify the meaning of each keyword, thus leading to a complete and explicit definition of the intent of the search. An example of such a query is name of person at the head of company and author of article about "business intelligence". In order to help users formulate such connected keywords queries and to translate them into SPARQL, an interactive mechanism based on autocompletion has been developed, which is presented in this article.