Nowadays, more and more people rely on freely available user-generated spatial content, known as Volunteered Geographic Information (VGI). Therefore, spatial data creation is no more exclusively in the hands of professionals and Linked Open Data (LOD) techniques have a role in promoting such online and freely accessible spatial information. However, the volume of VGI data is constantly growing so evaluating its quality is a basic need, especially in urban environments where Points of Interest change frequently and human feedbacks are crucial to get frequent updates of their descriptions. In this context, we propose a crowdsourcing-based framework, relying on linked data principles and devised to collect, organize and rank usergenerated content in order to improve accuracy and completeness of geo-spatial LOD. To this purpose, metrics have been defined for evaluating both users and contents.
A Crowdsourcing-based Framework for Improving Geo-spatial Open Data
MELCHIORI, Michele
2013-01-01
Abstract
Nowadays, more and more people rely on freely available user-generated spatial content, known as Volunteered Geographic Information (VGI). Therefore, spatial data creation is no more exclusively in the hands of professionals and Linked Open Data (LOD) techniques have a role in promoting such online and freely accessible spatial information. However, the volume of VGI data is constantly growing so evaluating its quality is a basic need, especially in urban environments where Points of Interest change frequently and human feedbacks are crucial to get frequent updates of their descriptions. In this context, we propose a crowdsourcing-based framework, relying on linked data principles and devised to collect, organize and rank usergenerated content in order to improve accuracy and completeness of geo-spatial LOD. To this purpose, metrics have been defined for evaluating both users and contents.File | Dimensione | Formato | |
---|---|---|---|
SMCpaperRoulaMike.pdf
gestori archivio
Tipologia:
Abstract
Licenza:
DRM non definito
Dimensione
486.56 kB
Formato
Adobe PDF
|
486.56 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.