Significant amounts of information available today contain references to places on earth.
Traditionally such information has been held as structured data and was the concern of …

With the prevalence of Internet access and online services, various big graphs are
generated in many real applications (eg, online social networks and knowledge graphs). An …

Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …

Graph convolutional networks (GCNs), as an extension of classic convolutional neural
networks (CNNs) in graph processing, have achieved good results in completing semi …

Massive amount of data that are geo-tagged and associated with text information are being
generated at an unprecedented scale. These geo-textual data cover a wide range of topics …

With the increasing popularity of geo-positioning technologies and mobile Internet, spatial
keyword data services have attracted growing interest from both the industrial and academic …

With the broad adoption of mobile devices, notably smartphones, keyword-based search for
content has seen increasing use by mobile users, who are often interested in content related …

Multi-focus image fusion is an important way to obtain all-in-focus images. The goal is to
reconstruct all the focused pixels in the source image into the fused image. Generally, in …

As an important type of spatial keyword query, the m-closest keywords (m CK) query finds a
group of objects such that they cover all query keywords and have the smallest diameter …

We investigate the problem of processing a large amount of continuous spatial-keyword
queries over streaming data, which is essential in many applications such as location-based …