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A Brief Survey on Multimedia Annotation Localization via Linked Data

This paper presents a concise analysis of the feasibility of multilingual annotation on social media using linked data. It explores the role of multimedia localization in connecting annotated resources across different languages and highlights the challenges of existing monolingual platforms, such as Flickr. The research particularly focuses on the annotation disconnect within a tree structure and suggests avenues for further exploration, such as linguistically linked folksonomic multimedia annotation across social media platforms.

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A Brief Survey on Multimedia Annotation Localization via Linked Data

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  1. A Brief Survey of Multimedia Annotation Localisation on the Web of Linked Data Gary Lefman1 David Lewis1 Felix Sasaki2 lefmang@tcd.ie dave.lewis@cs.tcd.ie felix.sasaki@dfki.de 1CNGL the Centre for Global Intelligent Content, Trinity College Dublin, Ireland 2Language Technology Lab, German Research Centre for Artificial Intelligence (DFKI), Germany

  2. very A brief survey ^ feasibility of multilingual annotation on social media using linked data

  3. Why are we looking at this? role of localisation multimedia ontologies linking annotated resources across languages

  4. The annotation disconnect tree ? Platform A Rectangle: 140,170,50,50 Text: “tree” Author: “Jane Doe” Locale: <Unknown> Rectangle: 212,182,50,50 Text: “coeden” Author: “John Doe” Locale: <Unknown> “Baum” Search for: “Baum” Locale: de-DE coeden Platform B Social Media Platform B Social Media Platform A

  5. Flickr Annotation Resource No Ontology Folksonomy Monolingual “African Lion” Monolingual “Afrikanskt Lejon”

  6. Flickr – what did we learn? monolingual platform no hint of an ontology heterogeneous folksonomies simple keyword tagging

  7. Flickr – what did we learn?

  8. Flickr – what did we learn? monolingual annotations in siloes uncontrolled “machine tags” namespace:predicate=value

  9. Further research linguistically linked folksonomic multimedia annotation across social media platforms

  10. Further research http://flickr.com/photos/tags/dc:subject=African%20Lion http://flickr.com/photos/tags/dc:subject=Afrikanskt%20Lejon http://tumblr.com/tagged/African%20Lion LLOD “Löwe” Search for: “Löwe” Locale: de-DE

  11. Further research Better Utilisation of Dublin Core http://flickr.com/photos/tags/dc:subject=African%20Lion&dc:language=en-ZA Integrate Media Fragments URI http://flickr.com/photos/tags/dc:subject=African%20Lion&dc:language=en-ZA&xywh=0,0,250,400 Utilise MediaONT http://flickr.com/photos/tags/ma:keyword=African%20Lion&ma:language=en-ZA

  12. Questions? Gary Lefman1 David Lewis1 Felix Sasaki2 lefmang@tcd.ie dave.lewis@cs.tcd.ie felix.sasaki@dfki.de 1CNGL the Centre for Global Intelligent Content, Trinity College Dublin, Ireland 2Language Technology Lab, German Research Centre for Artificial Intelligence (DFKI), Germany

  13. Dublin, Ireland23rd – 29th August 2014 www.coling-2014.org coling2014reg@keynotepco.ie

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