Temporal reasoning methods have been successful in temporal knowledge graphs (TKGs)
and are widely employed in many downstream application areas. Most existing TKG …

The growing ubiquity of location/activity sensing technologies has created unprecedented
opportunities for research on human spatiotemporal interaction behavior in mobile …

Maximizing Influence (Max-Inf) query is a fundamental operation in spatial data
management. This query returns an optimal site from a candidate set to maximize its …

Abstract The Lifelong Planning A*(LPA*) algorithm demonstrates unique advantages in
dynamic pathfinding by employing incremental update techniques that reuse previously …

Intelligent buildings are among the most active Internet-of-Things (IoT) verticals,
encompassing various IoT-enabled devices and sensing technologies for digital …

With the rapid development of indoor Location Based Services (LBS), a growing volume of
textual data is being generated in indoor environments. Consequently, indoor spatial …

Indoor positioning data is of high significance to many indoor location-based services
whereas it is of low quality due to the limitations of indoor positioning technologies. Thus …

The advancement of indoor location-aware technologies enables a wide range of location
based services in indoor spaces. In this paper, we formulate a novel Indoor Facility Location …

This work introduces an innovative solution for healthcare data management by combining
block chain technology with sharding, utilizing the Bat Optimization algorithm. This blending …

People in general find it difficult to determine the transportation route, because to get to one
destination there are many alternative paths that must be passed. This study aims to model …