HDTourist: exploring urban data on Android

Hervalejo, Elena; Martínez Prieto, Miguel A.; Fernández, Javier D. y Corcho, Oscar (2014). HDTourist: exploring urban data on Android. En: "13th International Semantic Web Conference (ISWC 2014)", 21 Oct 2014, Riva del Garda, Italia. ISBN 1613-0073. pp. 65-68.

Descripción

Título: HDTourist: exploring urban data on Android
Autor/es:
  • Hervalejo, Elena
  • Martínez Prieto, Miguel A.
  • Fernández, Javier D.
  • Corcho, Oscar
Tipo de Documento: Ponencia en Congreso o Jornada (Póster)
Título del Evento: 13th International Semantic Web Conference (ISWC 2014)
Fechas del Evento: 21 Oct 2014
Lugar del Evento: Riva del Garda, Italia
Título del Libro: Proceedings of the ISWC 2014 Posters & Demonstrations Track
Fecha: 2014
ISBN: 1613-0073
Volumen: 1272
Materias:
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (396kB) | Vista Previa

Resumen

The Web of Data currently comprises ? 62 billion triples from more than 2,000 different datasets covering many fields of knowledge3. This volume of structured Linked Data can be seen as a particular case of Big Data, referred to as Big Semantic Data [4]. Obviously, powerful computational configurations are tradi- tionally required to deal with the scalability problems arising to Big Semantic Data. It is not surprising that this ?data revolution? has competed in parallel with the growth of mobile computing. Smartphones and tablets are massively used at the expense of traditional computers but, to date, mobile devices have more limited computation resources. Therefore, one question that we may ask ourselves would be: can (potentially large) semantic datasets be consumed natively on mobile devices? Currently, only a few mobile apps (e.g., [1, 9, 2, 8]) make use of semantic data that they store in the mobile devices, while many others access existing SPARQL endpoints or Linked Data directly. Two main reasons can be considered for this fact. On the one hand, in spite of some initial approaches [6, 3], there are no well-established triplestores for mobile devices. This is an important limitation because any po- tential app must assume both RDF storage and SPARQL resolution. On the other hand, the particular features of these devices (little storage space, less computational power or more limited bandwidths) limit the adoption of seman- tic data for different uses and purposes. This paper introduces our HDTourist mobile application prototype. It con- sumes urban data from DBpedia4 to help tourists visiting a foreign city. Although it is a simple app, its functionality allows illustrating how semantic data can be stored and queried with limited resources. Our prototype is implemented for An- droid, but its foundations, explained in Section 2, can be deployed in any other platform. The app is described in Section 3, and Section 4 concludes about our current achievements and devises the future work.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7FP7-257641Sin especificarSin especificarSin especificar
Gobierno de EspañaTIN2013-46238-C4-2-RSin especificarSin especificarSin especificar

Más información

ID de Registro: 36782
Identificador DC: http://oa.upm.es/36782/
Identificador OAI: oai:oa.upm.es:36782
URL Oficial: http://ceur-ws.org/Vol-1272/
Depositado por: Memoria Investigacion
Depositado el: 29 Sep 2015 08:11
Ultima Modificación: 29 Sep 2015 08:11
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM