Wang-Chien Lee

TL;DR: To narrow down the search scope for result skyline paths, partial dominance test and full path dominance test are devised as two components of SkyPath.

TL;DR: The objective of this workshop is to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art of LBSN development and applications, present their ideas and contributions, and set future directions in emerging innovative research for location based social networks.

TL;DR: This paper studies the problem of answering probabilistic range queries on moving objects based on an uncertainty model, which captures the possible movements of objects with probabilities and maps the uncertain movements of all objects to a dual space for indexing.

TL;DR: This paper addresses the performance issues of mobile nearest-neighbor search, in which the mobile user issues a query to retrieve stationary service objects nearest to him/her, and proposes a semantic cache to enhance the access efficiency of the service.

TL;DR: A centralized algorithm to determine a set of representative nodes with high energy levels and wide data coverage ranges is proposed, and maintenance mechanisms are proposed to dynamically select alternative representative nodes when the original representative nodes run low on energy, or cannot capture spatial correlation within their respective data Coverage ranges.