Basık, Fuat2018-04-122018-04-122017-081613-0073http://hdl.handle.net/11693/37664Conference name: CEUR Workshop Proceedings -Proceedings of the VLDB 2017 PhD WorkshopDate of Conference: 28 August, 2017In this work, we investigate methods for merging spatio-temporal usage and entity records across two location-enhanced services, even when the datasets are semantically different. To address both effectiveness and efficiency, we study this linkage problem in two parts: model and framework. First we discuss models, including κ-l diversity- a concept we developed to capture both spatial and temporal diversity aspects of the linkage, and probabilistic linkage. Second, we aim to develop a framework that brings efficient computation and parallelization support for both models of linkage.EnglishEffectiveness and efficienciesEfficient computationL diversitiesLocation-enhancedParallelizationsProbabilistic linkageSpatio temporalTemporal diversityConference Paper