A Proposal for Design and Implementation of an Hybrid Navigation System Based on Open Data, Augmented Reality and Big Data - Applications for the Smart Cities

Zaragozí, Benito; Font, Pablo Giménez; Navarro-Carrión, José Tomás; Amorós, Antonio M. Rico; Ramon-Morte, Alfredo; Belda-Antoli, Antonio

doi:10.5220/0005458602210226

Cited by 5 publications

(2 citation statements)

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“…As an example, the winning applications of competitions organized by New York City are reported to be both innovative and cost less than applications built by the government (Masip-Bruin et al 2013). Some other examples involving the use of open data include the development of a hybrid navigation system including indoor navigation (Zaragozí et al 2015) or web portals analyzing real estate prices (Chen et al 2015). To support even more active development, Charalabidis et al (2016) Successful open data-based applications confirm that work on making open data more accessible for the software development community is of crucial importance.…”

Section: Enabling Innovative Applications Through Open Data Provisioningmentioning

confidence: 99%

Towards Increased Understanding of Open Data Use for Software Development

Grzenda

Legierski

2019

Inf Syst Front

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The way open data resources of varied type and volume are used by software applications remains only partly known. In this study, following CRoss-Industry Standard Process for Data Mining, we propose a methodology for collecting and analyzing access data describing the use of open data resources by individual software applications. The methodology includes novel categorization of the data collected at an exposition portal providing access to underlying open data portals and third-party services. Furthermore, it enables research into the use of both different open data resources and resource groups such as Big Data resources for software development. We apply the methodology to analyze the re-use of open urban data during reference software development events. The identification of open data use by individual applications is largely improved compared to baseline scenario, as shown by numerical indicators including F 1 measure. Insight into re-use of data streams and actual development time is obtained.

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Section: Enabling Innovative Applications Through Open Data Provisioningmentioning

confidence: 99%

Towards Increased Understanding of Open Data Use for Software Development

Grzenda

Legierski

2019

Inf Syst Front

View full text Add to dashboard Cite

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“…Herrera et al (2014) used IndoorOSM data and hardware component of smartphone to provide a hybrid indoor localization approach. Zaragozí et al proposed a hybrid navigation system based on open data and published via standard protocols and web services (Zaragozí et al, 2015). However, to the authors of this paper's knowledge there is currently no an approach for automated extraction IndoorGML data from OSM data.…”

Section: Introductionmentioning

confidence: 99%

AUTOMATIC EXTRACTION OF IndoorGML CORE MODEL FROM OpenStreetMap

Mirvahabi

Abbaspour

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission VI, WG VI/4 KEY WORDS: IndoorGML, OpenStreetMap, Navigation, OGC, VGI ABSTRACT Navigation has become an essential component of human life and a necessary component in many fields. Because of the increasing size and complexity of buildings, a unified data model for navigation analysis and exchange of information. IndoorGML describes an appropriate data model and XML schema of indoor spatial information that focuses on modelling indoor spaces. Collecting spatial data by professional and commercial providers often need to spend high cost and time, which is the major reason that VGI emerged. One of the most popular VGI projects is OpenStreetMap (OSM). In this paper, a new approach is proposed for the automatic generation of IndoorGML data core file from OSM data file. The output of this approach is the file of core data model that can be used alongside the navigation data model for navigation application of indoor space.

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