Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41910

Enriching Augmented Reality with Text Data Mining: An Automated Content Management System to Develop Hybrid Media Applications

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Title: Enriching Augmented Reality with Text Data Mining: An Automated Content Management System to Develop Hybrid Media Applications
Authors: Raso, Rocco
Werth, Dirk
Loos, Peter
Keywords: Augmented Reality
Content Creation
Content Management
Hybrid Media
Print Media
Issue Date: 04 Jan 2017
Abstract: Augmented Reality (AR) tools offer novel typologies of contents to generate Augmented Print (AP) systems. Compared with traditional print media, the development of AP applications requires additional efforts to identify thematic contents, which are suitable to be enhanced by AR systems. The generation of virtual contents represents a potential obstacle for developing AP applications. Motivated by the necessity to provide hybrid media applications with more efficient tools, in this paper we present a novel paradigm, which employs an automated framework to face the issue of content creation and content management. We propose a model for the automatic detection of specific textual contents in traditional print media. Using techniques from text data mining, we identify virtual contents which match the editorial contents. This aids in the process of content creation and management and, as a result, simplifies AR content delivery and shapes new perspectives for hybrid media applications.
Pages/Duration: 9 pages
URI/DOI: http://hdl.handle.net/10125/41910
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.746
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Mobile App Development Minitrack



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