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An Analysis of Quality for Volunteered Geographic Information
Wilfrid Laurier University Scholars Commons @ Laurier Theses and Dissertations (Comprehensive) 2015 An Analysis of Quality for Volunteered Geographic Information Joel C H Meier Wilfrid Laurier University, [email protected] Follow this and additional works at: https://scholars.wlu.ca/etd Part of the Geographic Information Sciences Commons, and the Remote Sensing Commons Recommended Citation Meier, Joel C H, "An Analysis of Quality for Volunteered Geographic Information" (2015). Theses and Dissertations (Comprehensive). 1712. https://scholars.wlu.ca/etd/1712 This Thesis is brought to you for free and open access by Scholars Commons @ Laurier. It has been accepted for inclusion in Theses and Dissertations (Comprehensive) by an authorized administrator of Scholars Commons @ Laurier. For more information, please contact [email protected]. An Analysis of Quality for Volunteered Geographic Information by Joel Clarence Howard Meier B.A., Geography University of Guelph, 2010 P.G. Dip, Centre of Geographic Sciences, 2011 THESIS Submitted to the Faculty of Arts Geography and Environmental Studies in partial fulfillment of the requirements for Master of Science in Geomatics Wilfrid Laurier University © Joel Clarence Howard Meier 2014 ii Abstract Volunteered geographic information is a new and growing source of information for generating accurate maps which display various landscapes and populations. This thesis discusses the definitions, history and theory of VGI with an eye toward its practical applications for geographic and environmental research. A major issue with the practical application of VGI is uncertainty about how to measure and characterize data quality. This thesis investigates issues of data quality for VGI by using the International Standards Organization framework for data quality assessment for geographic information. -
Standardization, Modeling and Implementation of Points of Interest – a Touristic Perspective
International Journal of u- and e- Service, Science and Technology Vol.6, No.6 (2013), pp.59-70 http://dx.doi.org/10.14257/ijunesst.2013.6.6.07 Standardization, Modeling and Implementation of Points of Interest – a Touristic Perspective Thomas Spangenberg Faculty of Automation and Computer Science, Harz University of Applied Sciences, Wernigerode, Germany [email protected] Abstract Points of Interest (POI) are crucial content elements in various applications and services. Numerous use cases (e.g., navigation, mapping, or location-based services) causes that POI data is described in different, mostly proprietary formats. That prevents the use of POI across application boundaries. One reason is that there is no acknowledged POI data standard. However, the World Wide Web Consortium (W3C) released a promising working draft – the POI Core data model. Within this paper, the POI Core is analyzed and an XML schema for POI is presented from a touristic perspective. This schema is implemented using the GPS Exchange Format and a novel GPX extension. The extension enables a significantly improved inclusion of context information into POI descriptions. Finally, a concrete example of a touristic attraction, which is a specialization of POI, will be presented to show the value of the novel approach. Keywords: Data Modeling, GPS Exchange Format, Points of Interest, Standardization, Tourism 1. Introduction Points of Interest (POI) are considered to be the most fundamental requirement of any spatial data infrastructure [19]. They are used in various applications and services, such as navigation systems, mapping, augmented reality, tourist information systems, mobile guides, social networks, recommender systems, location-based services, and many others. -
Open Geodata
Vorlesung Open Data > 09: Open Geodata Vorlesung Open Data Open Geodata Termin 9, 23. April 2020 Dr. Matthias Stürmer Dozentur Digitale Nachhaltigkeit Institut für Wirtschaftsinformatik Universität Bern FS 2020 1 Vorlesung Open Data > 09: Open Geodata Terminübersicht Vorlesung 20. Februar 2020 Informationen zur Vorlesung, Einführung Open Data 27. Februar 2020 Definition von OGD und Argumente dafür und dagegen 5. März 2020 OGD Strategie Schweiz und das Impact Monitoring Framework 12. März 2020 Entstehung und Anwendung des Öffentlichkeitsgesetz 19. März 2020 Geistiges Eigentum und die Open-Bewegung 26. März 2020 Open Data Journalism 2. April 2020 Open Finance und Participatory Budgeting 9. April 2020 Open Transport Data 16. April 2020 Semesterferien 23. April 2020 Open Geodata 30. Mai 2020 Aid Transparency und Open Aid 7. Mai 2020 Linked Data und Semantic Web 14. Mai 2020 Open Corporate Data 21. Mai 2020 Auffahrt 28. Mai 2020 keine Vorlesung, am Nachmittag Abschlusspräsentationen Open Data Apps FS 2020 2 Vorlesung Open Data > 09: Open Geodata Informationen zur Prüfung > Gleiche Prüfung für MA und BA > 1. Prüfungstermin: Mittwoch, 03.06.2020 von 10:15 – 11:15 Uhr im HG 205 > 2. Prüfungstermin: Montag, 07.09.2020 von 12:15 – 13:15 Uhr im HG 114 > Anmelden auf KSL bis spätestens eine Woche vor der Prüfung > Aufgabenbeispiele aus der Vorlesung: — Nennen Sie fünf Voraussetzungen für digitale Nachhaltigkeit und erläutern Sie. — Welches sind die drei typischen Schritte bei einer Data Journalism Story? Beschreiben Sie sie und nennen Sie je ein technisches Tool, das dabei hilft. — Was sind die Kernaussagen der aktuellen OGD Strategie Schweiz des Bundesrats? > Aufgabenbeispiele aus den Gastreferaten: — Nennen Sie drei Möglichkeiten, wie Behörden Anfragen über das Öffentlichkeitsgesetz «abwimmeln» können.