Campus Guidance System for International Conferences Based on OpenStreetMap

Jacob, Ricky; Zheng, Jianhua; Ciepłuch, Błażej; Mooney, Peter; Winstanley, Adam C.

doi:10.1007/978-3-642-10601-9_13

Cited by 22 publications

(21 citation statements)

References 11 publications

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“…Due to the increased potential and use of VGI (as demonstrated in the works of Chunara et al (2012), Sakaki et al (2010), Fuchs et al (2013), MacEachren et al (2011), Liu et al (2008), McDougall (2009), Bulearca and Bulearca (2010), Jacob et al (2009)), it becomes increasingly important to be aware of the quality of VGI, in order to derive accurate information and decisions. Due to a lack of standardization, quality in VGI has shown to vary across heterogeneous data sources (text, image, maps etc.).…”

Section: Introductionmentioning

confidence: 99%

A review of volunteered geographic information quality assessment methods

Senaratne

Mobasheri

Ali

et al. 2016

International Journal of Geographical Information Science

387

315

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With the ubiquity of advanced web technologies and location-sensing hand held devices, citizens regardless of their knowledge or expertise, are able to produce spatial information. The phenomena is known as Volunteered Geographic Information (VGI). During the last decade VGI has been used as a data source supporting a wide range of services such as environmental monitoring, events reporting, human movement analysis, disaster management etc. However, these volunteer contributed data also come with varying quality. Reasons for this are: data is produced by heterogeneous contributors, using various technologies and tools, having different level of details and precision, serving heterogeneous purposes, and a lack of gatekeepers. Crowd-sourcing, social, and geographic approaches have been proposed and later followed to develop appropriate methods to assess the quality measures and indicators of VGI. In this paper, we review various quality measures and indicators for selected types of VGI, and existing quality assessment methods. As an outcome, the paper presents a classification of VGI with current methods utilized to assess the quality of selected types of VGI. Through these findings we introduce data mining as an additional approach for quality handling in VGI.

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Section: Introductionmentioning

confidence: 99%

A review of volunteered geographic information quality assessment methods

Senaratne

Mobasheri

Ali

et al. 2016

International Journal of Geographical Information Science

387

315

View full text Add to dashboard Cite

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“…A screenshot of the OSM map coverage for this area at the time of project implementation is shown in Figure 1(a), while the corresponding map coverage over the same time/area from Google Maps is shown in Figure 1(b). The detailed OSM data is mainly created by students from NUIM and is freely available for inclusion in all value-added projects, a clear example of how OSM grows research and business opportunities through volunteers contributing data [13]. In this project, 2D footprints of NUIM campus buildings were downloaded directly from the OSM map interface (www.openstreetmap.org) and/or from its data repository (e.g.…”

Section: Osm and Volunteered Geographical Information (Vgi)mentioning

confidence: 99%

Design and Development of Personal GeoServices for Universities

Ballatore

Pham

Yin

et al. 2015

Lecture Notes in Geoinformation and Cartography

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“…Here the ability to use custom data would be of great advantage to users. Events such as conferences could provide custom POI and map data to attendees before an event takes place [10]. Colleges and universities could also provide detailed information, such as lecture theatre locations, to students on the campus.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of storing and querying spatial data on mobile devices for offline location based services

Jacob

Smithers

Winstanley

2012

IET Irish Signals and Systems Conference (ISSC 2012)

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_______________________________________________________________________________Abstract-Use of location based services has been gaining popularity over the years especially with the increase in smartphone sales. The benefits include helping you find nearby places of interest like a restaurant, café, atm among others and additional information like location and distance and providing navigation assistance to these places. In most cases such services are dependent on the availability of an internet connection on the phone. Thus the use of such services is lost in scenarios where an internet connection is not available or not used (due to expensive internet plans) like when visiting another country. We evaluate the performance of querying spatial data when stored locally on the mobile device. The circular query and the pointing gesture based geowand query are performed on a copy of the OpenStreetMap data stored in SQLite on the mobile device. The SpatiaLite extension provides the vector geodatabase functionalities to query such databases. In this paper we report on the performance of such queries on mobile devices. We also compare some features of this offline prototype with alternative proprietary solutions like Google Places and highlight the importance of Open data and crowdsourcing.

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Campus Guidance System for International Conferences Based on OpenStreetMap

Cited by 22 publications

References 11 publications

A review of volunteered geographic information quality assessment methods

A review of volunteered geographic information quality assessment methods

Design and Development of Personal GeoServices for Universities

Performance evaluation of storing and querying spatial data on mobile devices for offline location based services

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