In this paper, we study the efficient Time-interval Augmented Spatial Keyword (TASK) query problem, which considers the location, time-interval, and attribute value of keywords of spatial objects on road networks. We propose the concept of keyword hot value which is usually the value of textual attribute, such as popularity and price, and design a novel similarity function to evaluate the similarity between spatial textual objects and the query. A hierarchical index GI-tree is proposed to handle the TASK query with a best-first strategy. To imp...
