Linked data-driven smart spaces

Oscar Rodríguez Rocha, Cristhian Figueroa, Iacopo Vagliano, Boris Moltchanov

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

In this paper, we present an approach to exploit Linked Data in Smart Spaces, doing more than just using RDF to represent information. In particular, we rely on knowledge stored in DBpedia, a dataset in the Web of Data. We also provide a platform to implement such an approach and a eTourism use case, both developed in collaboration with a mobile operator. Finally, we provide also a performance evaluation of the main component of the platform.

Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networks and Systems - 14th International Conference, NEW2AN 2014 and 7th Conference, ruSMART 2014, Proceedings
PublisherSpringer - Verlag
Pages3-15
Number of pages13
ISBN (Print)9783319103525
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event14th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2014 and 7th Conference on Internet of Things and Smart Spaces, ruSMART 2014 - St. Petersburg, Russian Federation
Duration: 27 Aug 201429 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8638 LNCS

Conference

Conference14th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2014 and 7th Conference on Internet of Things and Smart Spaces, ruSMART 2014
Country/TerritoryRussian Federation
CitySt. Petersburg
Period27/08/201429/08/2014

Keywords

  • Linked Data
  • Recommender Systems
  • Semantic Annotation
  • Smart Spaces
  • eTourism

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