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International Conference on Information and Software Technologies

ICIST 2014: Information and Software Technologies pp 324–333Cite as

Integrating Linked Data in Mobile Augmented Reality Applications

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 465))

Abstract

Mobile devices are currently the most popular way of delivering ubiquitous augmented reality experiences. Traditionally, content sources for mobile augmented reality applications can be seen as isolated silos of information, being designed specifically for the intended purpose of the application. Recently, due to the raising in popularity and usage of the Semantic Web technologies and the Linked Data, some efforts have been made to overcome current augmented reality content sources limitations by integrating Linked Data principles and taking advantage of the significant increase in size and quality of the Linked Open Data cloud. This paper presents a literature review of the previous efforts in this respect, while highlighting in detail the limitations of current approaches, the advantages of integrating Linked Data principles in mobile augmented reality applications and up-to-date challenges in regarding this still novel approach. The authors conclude by suggesting some future research directions in this area.

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Author information

Authors and Affiliations

  1. Politehnica University of Timisoara, Timisoara, Romania

    Silviu Vert & Radu Vasiu

Authors
  1. Silviu Vert
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  2. Radu Vasiu
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Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-409a,, LT-51368, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Studentu g. 50-409a, LT-51368, Kaunas, Lithuania

    Robertas Damasevicius

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Vert, S., Vasiu, R. (2014). Integrating Linked Data in Mobile Augmented Reality Applications. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2014. Communications in Computer and Information Science, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-11958-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-11958-8_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11957-1

  • Online ISBN: 978-3-319-11958-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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