A Model Independent and User-Friendly Querying System for Indoor Spaces

Querying indoor information has become important with increasing demand for indoor pervasive applications in vogue. A number of applications have been developed like indoor navigation, localization etc., which work on the modeled indoor data. Different models like geometric, spatial and topological models exist for the indoor space. Existing query languages are model specific, and not user friendly. We propose a querying system which will work irrespective of the underlying model by hiding the complex details of the indoor model from the user. A querying framework is developed which abstracts out basic entities and primitive operators from multiple models. A text-based query language for the indoor space is built on this framework. A visual querying interface is developed which further simplifies the task of querying.