The authors present in this paper the functionalities of the Metadata Retrieval (MDR) module, a software component developed to enrich the information content of a system controlling a fleet of Unmanned Aircraft Vehicles (UAVs) by means of annotations on locations provided by Volunteered Geographical Information (VGI) projects. MDR, developed in the context of an overall project based on SOA architecture, adds updated information to the system via Web Services provided by OpenStreetMap and GeoNames. Furthermore, MDR can be applied for the acquisition and the integration of users’ spatial annotations and use them in any way to produce, illustrate and enhance geo-summaries. Actually MDR performs the content characterization of a spatial area by means of a filter that selects the statistically significant annotations whose frequency in the area is in contrast with the surrounding.

A SOA-Based Module for the Production of Geo-Summaries

MEO, Rosa
2014

Abstract

The authors present in this paper the functionalities of the Metadata Retrieval (MDR) module, a software component developed to enrich the information content of a system controlling a fleet of Unmanned Aircraft Vehicles (UAVs) by means of annotations on locations provided by Volunteered Geographical Information (VGI) projects. MDR, developed in the context of an overall project based on SOA architecture, adds updated information to the system via Web Services provided by OpenStreetMap and GeoNames. Furthermore, MDR can be applied for the acquisition and the integration of users’ spatial annotations and use them in any way to produce, illustrate and enhance geo-summaries. Actually MDR performs the content characterization of a spatial area by means of a filter that selects the statistically significant annotations whose frequency in the area is in contrast with the surrounding.
4
1
63
75
http://www.igi-global.com/article/a-soa-based-module-for-the-production-of-geo-summaries/105089
Crowdsourcing; Geo-Summary; Metadata; Statistical Filter; Tags; Volunteered Geographic Information (VGI)
Elena Roglia; Rosa Meo
File in questo prodotto:
File Dimensione Formato  
4d739313-0a73-47a7-af07-688043787b1d-proof.pdf

Accesso riservato

Tipo di file: PREPRINT (PRIMA BOZZA)
Dimensione 837.9 kB
Formato Adobe PDF
837.9 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.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/143590
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact