A Retrieval-Augmented Language Model (RALM) augments a generative language model
by retrieving context-specific knowledge from an external database. This strategy facilitates …

Recording and querying time-stamped trajectories incurs high cost of data storage and
computing. In this paper, we explore several characteristics of the trajectories in road …

Spatial crowdsourcing refers to the allocation of crowdsourcing workers to each task based
on location information. K-nearest neighbor technology has been widely applied in …

K nearest neighbor (kNN) search is an important problem in location-based services (LBS)
and has been well studied on static road networks. However, in real world, road networks …

Abstract Trajectory classification (TC), ie, predicting the class labels of moving objects based
on their trajectories and other features, has many important real-world applications. Private …

Although the direction aspect is as important as the distance aspect when retrieving spatial
objects, the studies of direction-aware queries are limited. The direction-based surrounder …

In this paper, we study a novel variant of obstructed nearest neighbor queries, namely,
range-based obstructed nearest neighbor (RONN) search. As a natural generalization of …

In order to make up the deficiencies of the existing research results which cannot effectively
deal with the nearest neighbor query based on the line segments in obstacle space, the k …

In this paper, we introduce Continuous Obstructed Detour (COD) Queries, a novel query
type in spatial databases. COD queries continuously return the nearest point of interests …

With the emergence and growing popularity of and location-based service (LBS)
technologies, the continuous k nearest neighbor (CO k NN) query in obstructed space is …