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.

LODifying personal content sharing / RODRIGUEZ ROCHA, Oscar; Laurent Walter, Goix; Fabio Luciano, Mondin; Carmen, Criminisi. - (2012), pp. 124-130. (Intervento presentato al convegno EDBT-ICDT '12 Proceedings of the 2012 Joint EDBT/ICDT Workshops tenutosi a Berlin, Germany).

LODifying personal content sharing

RODRIGUEZ ROCHA, OSCAR;
2012

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.
2012
9781450311434
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2497080
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