A Symbolic-based Indoor Navigation System with Direction-based Navigation Instruction

Abstract

Indoor navigation is difficult because of complexity of indoor space. The efficient navigation system is required for locating the objects in space with accuracy. This research proposes an indoor navigation system which relies on symbolic information described by OWL. The description is used for path finding and for generating navigation instruction. The proposed indoor navigation system is developed using semantic web technology and the mobile application for navigation is developed on Android platform. With OWL-based symbolic information, spatial object information is described semantically in which both computer and human are readable and therefore, the spatial object information is easier to create and to maintain. Using direction-based navigation, interaction between human and system is flexible and the users are able to realise the orientation of current location easily.

Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19

“…Wang et al [23] proposed an ontology for representing a semantic location in indoor navigation models. Sriharee [24] developed an indoor navigation system based on OWL-defined symbolic knowledge. Lee et al [25] proposed a location-based service that focuses on indoor activities at a university, using ontology-based semantic queries.…”