CLODA: A Crowdsourced Linked Open Data Architecture
In this paper, the authors present their Crowdsourced Linked Open Data Architecture (CLODA), a first attempt to combine crowdsourcing, localization and location-based services to generate, collect, validate and relate real-world, geo-spatial and multidimensional information using smartphones and other mobile devices. CLODA focuses on the construction of URI addressable, interlinked and semi-structured data following the Linked-Open Data (LOD) paradigm. The validity of the constructed data is then contributed by a participating crowd. They present their prototype implementation on top of Google Maps and a blend of in-house technologies, particularly their indoor positioning framework, coined Airplace, their trajectory similarity framework, coined SmartTrace, their neighborhood detection framework, coined Proximity and their smartphone testing platform coined SmartLab.