CLODA: A crowdsourced linked open data architecture
Zeinalipour-Yazdi, Constantinos D.
SourceProceedings - IEEE International Conference on Mobile Data Management
14th International Conference on Mobile Data Management, MDM 2013
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In this paper we present our 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 multi-dimensional 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. We present our prototype implementation on top of Google Maps and a blend of in-house technologies, particularly our indoor positioning framework, coined Airplace, our trajectory similarity framework, coined SmartTrace, our neighborhood detection framework, coined Proximity and our smartphone testing platform coined SmartLab. © 2013 IEEE.