The continuous development of wireless networks and mobile devices has motivated an
intense research in mobile data services. Some of these services provide the user with …

Many applications require finding objects closest to a specified location that contains a set of
keywords. For example, online yellow pages allow users to specify an address and a set of …

Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

In this paper we discuss a new type of query in Spatial Databases, called the Trip Planning
Query (TPQ). Given a set of points of interest P in space, where each point belongs to a …

Given a set of objects P and a query point q, ak nearest neighbor (k-NN) query retrieves the
k objects in P that lie closest to q. Even though the problem is well-studied for static datasets …

Given two spatial datasets P (eg, facilities) and Q (queries), an aggregate nearest neighbor
(ANN) query retrieves the point (s) of P with the smallest aggregate distance (s) to points in …

Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with
the highest scores according to f. Even though the problem is well-studied in conventional …

This paper proposes a generic framework for monitoring continuous spatial queries over
moving objects. The framework distinguishes itself from existing work by being the first to …

Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly
dynamic scenarios, where the queries and the data objects move frequently and arbitrarily …

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 …