Fast Ad Hoc Queries Based on Data Ontologies
Barzdins Janis, Edgars Rencis, Agris Šostaks · Frontiers in artificial intelligence and applications · 2014
It is a very typical situation in many organizations that data gathered by their information systems are not used to their full potential. They can be processed only by IT professionals therefore limiting the scope of their usage. In this paper we propose a novel solution to the problem of how to get answers to ad hoc queries over the collected data in a way convenient to a domain expert. We exploit a concept of Star ontologies in order to develop a new kind of graphical query language that can be used by non-programmers. We explain the functioning of the language on an example of hospital domain.