@article{Lohan2017,

title = {Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning},

author = {Elena Simona Lohan and Joaquín Torres-Sospedra and Helena Leppäkoski and Philipp Richter and Zhe Peng and Joaquín Huerta-Guijarro},

url = {http://www.mdpi.com/2306-5729/2/4/32},

doi = {10.3390/data2040032},

issn = {2306-5729},

year  = {2017},

date = {2017-10-03},

journal = {Data},

volume = {2},

number = {4},

pages = {32},

abstract = {Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies are still hard to find in the current literature and existing public repositories. This is unlike other research fields, such as the image processing field, where benchmark test images such as the Lenna image or Face Recognition Technology (FERET) databases exist, or the machine learning field, where huge datasets are available for example at the University of California Irvine (UCI) Machine Learning Repository. It is the purpose of this paper to present a new openly available Wi-Fi fingerprint dataset, comprised of 4648 fingerprints collected with 21 devices in a university building in Tampere, Finland, and to present some benchmark indoor positioning results using these data. The datasets and the benchmarking software are distributed under the open-source MIT license and can be found on the EU Zenodo repository.},

keywords = {crowdsourcing, Indoor positioning, Wi-Fi fingerprint},

pubstate = {published},

tppubtype = {article}

}

@article{GranellCanut2016a,

title = {Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management},

author = { Carlos Granell-Canut and Frank O. Ostermann},

url = {http://dx.doi.org/10.1016/j.compenvurbsys.2016.01.006},

doi = {10.1016/j.compenvurbsys.2016.01.006},

issn = {0198-9715},

year  = {2016},

date = {2016-01-01},

journal = {Computers, Environment and Urban Systems},

pages = {in press},

publisher = {Elsevier Ltd},

abstract = {This paper investigates research using VGI and geo-social media in the disaster management context. Relying on the method of systematic mapping, it develops a classification schema that captures three levels of main category, focus, and intended use, and analyzes the relationships with the employed data sources and analysis methods. It focuses the scope to the pioneering field of disaster management, but the described approach and the developed classification schema are easily adaptable to different application domains or future developments. The results show that a hypothesized consolidation of research, characterized through the building of canonical bodies of knowledge and advanced application cases with refined methodology, has not yet happened. The majority of the studies investigate the challenges and potential solutions of data handling, with fewer studies focusing on socio-technological issues or advanced applications. This trend is currently showing no sign of change, highlighting that VGI research is still very much technology-driven as opposed to theory- or application-driven. From the results of the systematic mapping study, the authors formulate and discuss several research objectives for future work, which could lead to a stronger, more theory-driven treatment of the topic VGI in GIScience.},

note = {IF: 2.659 - 23/105 (Q1) Environmental Studies

2.659 - 13/79 (Q1) Geography

},

keywords = {crowdsourcing, data analysis methods, Disaster management, Geo-social media, RyC-Granell, Systematic mapping, VGI},

pubstate = {published},

tppubtype = {article}

}

@article{DiazSanchez2012c,

title = {Web 2.0 Broker: A standards-based service for spatio-temporal search of crowd-sourced information},

author = { Laura Díaz-Sánchez and Carlos Granell-Canut and Joaquín Huerta-Guijarro and Michael Gould},

url = {http://hdl.handle.net/10234/64272},

doi = {10.1016/j.apgeog.2012.09.008},

issn = {0143-6228},

year  = {2012},

date = {2012-11-01},

journal = {Applied Geography},

volume = {35},

number = {1-2},

pages = {448-459},

abstract = {Recent trends in information technology show that citizens are increasingly willing to share information using tools provided by Web 2.0 and crowdsourcing platforms to describe events that may have social impact. This is fuelled by the proliferation of location-aware devices such as smartphones and tablets; users are able to share information in these crowdsourcing platforms directly from the field at real time, augmenting this information with its location. Afterwards, to retrieve this information, users must deal with the different search mechanisms provided by the each Web 2.0 services. This paper explores how to improve on the interoperability of Web 2.0 services by providing a single service as a unique entry to search over several Web 2.0 services in a single step. This paper demonstrates the usefulness of the Open Geospatial Consortium's OpenSearch Geospatial and Time specification as an interface for a service that searches and retrieves information available in crowdsourcing services. We present how this information is valuable in complementing other authoritative information by providing an alternative, contemporary source. We demonstrate the intrinsic interoperability of the system showing the integration of crowd-sourced data in different scenarios.},

keywords = {crowdsourcing, EUROGEOSS, GEOCLOUD, Open Search, Standards, Web 2.0, web services},

pubstate = {published},

tppubtype = {article}

}