Similarity Search on Semantic Trajectories Using Text Processing

The use of location-based sensors has increased exponentially. Tracking moving objects become increasingly common, consolidating a new field research that focuses on trajectory data management. Such trajectories may be semantically enriched using and social media. This enables detailed analysis behavior patterns. One the problems in this is search for semantic database flexible adaptable; flexibility sense retrieving are closest to user’s query not just based exact matching. Adaptability refers adjusting different types trajectories. article proposes approach representing querying text-processing techniques. Furthermore, we describe framework, called SETHE (SEmantic Trajectory HuntEr), performs similarity queries databases. can adapted according aspect posed user queries. We also presented an evaluation proposed framework real dataset, compare our results with those state-of-the-art approaches.