  The ad-hoc querying process is slow and error prone due to inability of
business experts of accessing data directly without involving IT experts. The
problem lies in complexity of means used to query data. We propose a new
natural language- and semistar ontology-based ad-hoc querying approach which
lowers the steep learning curve required to be able to query data. The proposed
approach would significantly shorten the time needed to master the ad-hoc
querying and to gain the direct access to data by business experts, thus
facilitating the decision making process in enterprises, government
institutions and other organizations.
