A Brief Survey of Multimedia Annotation Localisation on the Web of Linked Data Gary Lefman 1 David Lewis 1 Felix Sasaki 2 1 CNGL the Centre for Global Intelligent Content, Trinity College Dublin, Ireland 2 Language Technology Lab, German Research Centre for Artificial Intelligence (DFKI), Germany

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

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

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

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

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

Flickr – what did we learn?

monolingual annotations in siloes uncontrolled “machine tags” namespace:predicate=value

Further research linguistically linked folksonomic multimedia annotation across social media platforms

Search for:“Löwe” Locale: de-DE “ Löwe ” LLOD Further research

Better Utilisation of Dublin Core Integrate Media Fragments URI Utilise MediaONT Further research

Questions? Gary Lefman 1 David Lewis 1 Felix Sasaki 2 1 CNGL the Centre for Global Intelligent Content, Trinity College Dublin, Ireland 2 Language Technology Lab, German Research Centre for Artificial Intelligence (DFKI), Germany

Dublin, Ireland 23 rd – 29 th August 2014