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doi:10.22028/D291-33391
Title: | Enriching Augmented Reality with Text Data Mining: An Automated Content Management System to Develop Hybrid Media Applications |
Author(s): | Raso, Rocco Werth, Dirk Loos, Peter |
Language: | English |
Title: | Hawaii International Conference on System Sciences 2017 (HICSS-50) : Hilton Waikoloa Village, Hawaii, January 4-7, 2017 |
Startpage: | 6172 |
Endpage: | 6180 |
Publisher/Platform: | AIS Electronic Library |
Year of Publication: | 2017 |
Title of the Conference: | HICSS 2017 |
Place of the conference: | Waikoloa Village, Hawaii, USA |
Publikation type: | Conference Paper |
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. |
DOI of the first publication: | 10.24251/HICSS.2017.746 |
URL of the first publication: | https://aisel.aisnet.org/hicss-50/st/mobile_app_development/3/ |
Link to this record: | hdl:20.500.11880/30714 http://dx.doi.org/10.22028/D291-33391 |
ISBN: | 978-0-9981331-0-2 |
Date of registration: | 23-Feb-2021 |
Faculty: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Department: | HW - Wirtschaftswissenschaft |
Professorship: | HW - Prof. Dr. Peter Loos |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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