This book gathers a selection of the best papers presented during the 14th International Conference on Location Based Services, which was held in Zurich (Switzerland) between the 15th and 17th January 2018. It presents a general overview of recent research activities related to location based services. Such activities have grown in importance over the past several years, especially those concerning outdoor/indoor positioning, smart environments, spatial modeling, personalization and context-awareness, cartographic communication, novel user interfaces, crowdsourcing, social media, big data analysis, usability and privacy.
Inhaltsverzeichnis
Part I: Positioning: Locations Selection for Periodic Radio Map Update in Wi Fi Fingerprinting.- Task-Oriented Evaluation of Indoor Positioning system.- An Original Approach to Positioning with Cellular Fingerprints Based on Decision Tree Ensembles.- Jaccard Analysis and LASSO-Based Feature Selection for Location Fingerprinting with Limited Computational Complexity.- Part II: Mapping: Road Network Fusion for Incremental Map Updates.- Semantic Web Technologies Automate Geospatial Data Conflation: Conflating Points of Interest Data for Emergency Response Services.- Topology Extraction from Occupancy Grids.- Discovering and Learning Recurring Structures in Building Floor Plans.- Part III: Landmarks and Mobility: 243 Extracting Rankings for Spatial Keyword Queries from GPS Data .- Towards a Dynamic Isochrone Map: Adding Spatiotemporal Traffic and Population Data.- Continuous Trajectory Pattern Mining for Mobility Behaviour Change Detection.- An Overall Framework for Personalised Landmark Selection.- Part IV: Location Based Social Media and Citizen Participation: “Thanks for Your Input. We Will Get Back to You Shortly.” How to Design Automated Feedback in Location-Based Citizen Participation Systems.- Captcha Your Location Proof—A Novel Method for Passive Location Proofs in Adversarial Environments.- Data Quality of Points of Interest Selected Mapping and Social Media Platforms.- Mapping Spatiotemporal Tourist Behaviors and Hotspots Through Location-Based Photo-Sharing Service (Flickr) Data.
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