Improving travel information access with semantic search application on mobile environment

  • Authors:
  • Tuan-Dung Cao;Nguyen-Dat Tuan

  • Affiliations:
  • Hanoi University of Science and Technology, Hanoi, Vietnam;Hanoi University of Science and Technology, Hanoi, Vietnam

  • Venue:
  • Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
  • Year:
  • 2011

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Abstract

In last decade, we witness a significant increase in performance of mobile devices. In parallel, the growth of online data and services available on the Web make it become more and more emerging as a gold mine for the tourist guide application. With the inherent mobility and the widely supported Internet connectivity, tourist guide applications on smart phone are currently potential substitutes or supplements to travel book. However, it is a nightmare for tourists to select what are really interesting in a sheer volume of information while mobile devices have limited interactivity due to the inconvenient keyboard and small screen size regarding to computer. Therefore, the goal of our research is to develop a smart tool helping tourists find relevant travel information with minimum effort. This tool, implemented on Android platform, is the main component of STAAR (Semantic Tourist informAtion Access and Recommending), a system that supports request from heterogeneous environments. For the purpose, we describe our ontology formalized in RDFS/OWL to describe travel related information and to support integrating data from Linked data source. Through ontology manipulating web services, our Android application generates dynamic ontology-based user interfaces, allowing tourist to express their need in semantic queries with different levels of complexity, and then get access to relevant information.