An Ontology Design for Traffic Incident Q&A System
Napong Wanichayapong, Wasan Pattara-Atikom, Ratchata Peachavanish · 20th ITS World CongressITS Japan · 2013
Traffic incident information is very helpful to plan the trip or make a decision to avoid any road situation like traffic jam. Traffic incident information that can help road user is text information like tweet from Twitter, one of the major sources, and the research data such as global positioning system (GPS) data, flow rate and congestion density level. Therefore, the authors decided to create the Traffic Incident Q&A System. This system collects tweets from Twitter, extracts and classifies tweets and research data into incident knowledge base. Then, the system provides useful traffic information that road users can query to get what they need to know. So, the authors present an ontology design for this Traffic Incident Q&A System that using class relationship to avoid spatial search cost. This system can infer some information from knowledge base and answer some of the frequently asked questions.