A top-k spatial-keyword query returns the k best spatio-textual objects ranked based on their
proximity to the query location and relevance to the query keywords. Various index schemes …

A top-k spatial keyword query returns k objects having the highest (or lowest) scores with
regard to spatial proximity as well as text relevancy. Approaches for answering top-k spatial …

There is a significant commercial and research interest in location-based web search
engines. Given a number of search keywords and one or more locations (geographical …

Geographic objects associated with descriptive texts are becoming prevalent, justifying the
need for spatial-keyword queries that consider both locations and textual descriptions of the …

Geographic objects associated with descriptive texts are becoming prevalent. This gives
prominence to spatial keyword queries that take into account both the locations and textual …

Spatial keyword queries retrieve spatial textual objects that are near a query location and
are relevant to query keywords. The paper defines the top-k spatial textual clusters (k-STC) …

With the growing data volume and popularity of Web services and Location-Based Services
(LBS) new spatio-textual application are emerging. These applications are contributing to a …

Spatio-textual queries retrieve the most similar objects with respect to a given location and a
keyword set. Existing studies mainly focus on how to efficiently find the top-k result set given …

In this big data era, huge amounts of spatial documents have been generated everyday
through various location based services. Top-k spatial keyword search is an important …

Applications based on spatial data has become present in our daily lives. Spatial data can
be used to represent objects such as roads, bus stops, restaurants and schools. Some of …