Architecture for the integration of Linked Open Drug Data in an Augmented Reality application for mobile devices View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-10-12

AUTHORS

Carlos Daniel Flores-Flores , José Luis Sánchez-Cervantes , Giner Alor-Hernández , Lisbeth Rodríguez-Mazahua , Luis Ángel Reyes-Hernández

ABSTRACT

There is an increasing amount of information contained in the knowledge bases belonging to the Linked Open Data (LOD) cloud corresponding to different domains, the exploitation of this information is limited by the ways in which it can be visualized, requiring new forms of visualization so that such information can be understood and used. Augmented Reality (AR) is a technology that allows the interaction of information with the user and also has a significant growth thanks to the proliferation of mobile devices with better processing. This work proposes an architecture for the integration of the datasets belonging to the LOD cloud with AR in an application for mobile devices, which makes it possible for information retrieved from the SPARQL-based query execution on RDF datasets, to be visualized in a way that allows improving the interaction between the user and data retrieved for increasing the understanding of the information shown. More... »

PAGES

161-173

References to SciGraph publications

  • 2011-12. Linked open drug data for pharmaceutical research and development in JOURNAL OF CHEMINFORMATICS
  • 2014. Integrating Linked Data in Mobile Augmented Reality Applications in INFORMATION AND SOFTWARE TECHNOLOGIES
  • Book

    TITLE

    Trends and Applications in Software Engineering

    ISBN

    978-3-319-69340-8
    978-3-319-69341-5

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-69341-5_15

    DOI

    http://dx.doi.org/10.1007/978-3-319-69341-5_15

    DIMENSIONS

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