Semantic web and augmented reality for searching people, events and points of interest within of a university campus
Abstract:
The advance of technology makes that mobile devices have gained widespread popularity. Modern mobile devices include build in sensors, cameras, compasses, and enhanced storage and processing capabilities, allowing developers to use those features to create applications with new or enhanced functionality. In this context, we present a mobile application for searching places, people and events within a university campus. In our work, we leverage semantic web and augmented reality to provide an application with a high degree of query expressiveness and an enhanced user experience. In addition, we validate our approach with a use case example that shows the complete searching process.
Año de publicación:
2017
Keywords:
- mobile app
- Augmented reality
- semantic search
Fuente:

Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Inteligencia artificial
- Ciencias de la computación
Áreas temáticas:
- Ciencias de la computación
- Métodos informáticos especiales
- Funcionamiento de bibliotecas y archivos