LODifying personal content sharing

  • Authors:
  • Oscar Rodríguez Rocha;Carmen Criminisi;Fabio Mondin;Laurent-Walter Goix

  • Affiliations:
  • Politecnico di Torino, Turin, Italy;Telecom Italia S. p. a., Milan, Italy;Matrix S. p. a., Milan, Italy;Telecom Italia S. p. a., Milan, Italy

  • Venue:
  • Proceedings of the 2012 Joint EDBT/ICDT Workshops
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

The advent of contemporary mobile devices and their increasing computing power and location capabilities combined with the most innovative Web technologies has provided mobile users with new possibilities to share experiences on-the-go. The growing quantity of multimedia content present on the Web makes it difficult for mobile users to retrieve suitable content. Typically, users looking for interesting content related to their current position or POI (point of interest), access Web search engines relying on keywords to describe their ideas. Unfortunately such descriptions are often subjective and thus retrieval can be ineffective. To address these issues, our platform provides users with an application targeted for modern mobile devices that allows content acquisition and publication. Published content is automatically analyzed and stored on our server with semantic annotations based on the user's context and content, for further semantic search. We describe how and why we migrated from a triple-tags technology to semantics, hoping for related Linked Data.