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Road Traffic Question Answering System Using Ontology

  • Napong WanichayapongEmail author
  • Wasan Pattara-Atikom
  • Ratchata Peachavanish
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8943)

Abstract

Many people use social media to report and receive road traffic information, e.g., car accidents and congestions. We have implemented a Twitter-based traffic-related information reposting (retweeting) system, which users usually referred to as @traffy. To improve on our works, we propose an ontology-based Thai-language question answering system that gathers real-time traffic data from Twitter. The data collected are converted into traffic incident knowledge of what is happening and where it is happening. The system can then infer which points of interest (POIs) are affected by the incidents. Users can use natural (Thai) language to query the system against the ontology to receive traffic-related information. The system is currently deployed for demonstration on the web and developers can utilize it via REST API.

Keywords

Intelligent Transport System Traffic information Question answering system Ontology Twitter 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Napong Wanichayapong
    • 1
    Email author
  • Wasan Pattara-Atikom
    • 1
  • Ratchata Peachavanish
    • 2
  1. 1.National Electronics and Computer Technology CenterKhlong LuangThailand
  2. 2.Department of Computer ScienceThammasat UniversityPhra Nakhon Si AyutthayaThailand

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