Deliverable D2.6 LinkedTV Framework for Generating Video Enrichments with Annotations

This deliverable describes the final LinkedTV framework that provides a set of possible enrichment resources for seed video content using techniques such as text and web mining, information extraction and information retrieval technologies. The enrichment content is obtained from four type of sources: a) by crawling and indexing web sites described in a white list specified by the content partners, b) by querying the API or SPARQL endpoint of the Europeana digital library network which is publicly exposed, c) by querying multiple social networking APIs, d) by hyperlinking to other parts of TV programs within the same collection using a Solr index. This deliverable also describes an additional content annotation functionality, namely labelling enrichment (as well as seed) content with thematic topics, as well as the process of exposing content annotations to this module and to the filtering services of LinkedTV’s personalization workflow. We illustrate the enrichment workflow for the two main scenarios of LinkedTV which have lead to the development of the LinkedCulture and LinkedNews applications, which respectively use the TVEnricher and TVNewsEnricher enrichment services. The original title of this deliverable from the DoW was Advanced concept labelling by complementary Web mining

Deliverable D2.7 Final Linked Media Layer and Evaluation

This deliverable presents the evaluation of content annotation and content enrichment systems that are part of the final tool set developed within the LinkedTV consortium. The evaluations were performed on both the Linked News and Linked Culture trial content, as well as on other content annotated for this purpose. The evaluation spans three languages: German (Linked News), Dutch (Linked Culture) and English. Selected algorithms and tools were also subject to benchmarking in two international contests: MediaEval 2014 and TAC’14. Additionally, the Microposts 2015 NEEL Challenge is being organized with the support of LinkedTV