CLODA: A Crowdsourced Linked Open Data Architecture

Year: 
2013
Publication Date: 
Monday, 3 June, 2013
Published in: 
Proceedings of the 1st IEEE International Workshop on Mobile Data Management Mining and Computing on Social Networks" (Mobisocial '13), collocated with IEEE MDM'13
Authors: 
G. Larkou, J. Metochi, G. Chatzimilioudis and D. Zeinalipour-Yazti
Abstract: 

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 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. 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.

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