Browse the AdA Ontology and Triple Store - Audio-Visual Rhetorics of Affect

Version 1.6 - 9 Annotation Levels, 78 Annotation Types, and 436 Annotation Values

On this website, we publish all semantic data that is developed and generated within the scope of the AdA project.
Currently, the triple store features the AdA Ontology for fine-grained semantic video annotation, the project's corpus metadata,
and a dataset of over 24,000 annotations for the movie "Company Men", over 14,000 annotations for the movie "Inside Job",
and a few hundred TV news annotations. The ontology and the annotation datasets are also available for download on our GitHub Page.

To learn more about the AdA project, visit the project website and our GitHub Page. Further information can also be found in our recent papers [1,2,3] at the DH2019, SEMANTiCS 2018 and EKAW 2018 conference.

[1] H. Agt-Rickauer, C. Hentschel: Standardization and Automation of Audiovisual Annotations, In Proc. of the Digital Humanities Conference 2019 (DH2019), Panel "Between Data Mining and Human Experience – Digital Approaches to Film, Television and Video Game Analysis"
[2] H. Agt-Rickauer, C. Hentschel, H. Sack: Semantic Annotation and Automated Extraction of Audio-Visual Staging Patterns in Large-Scale Empirical Film Studies, In Proc. of the 14th Int. Conf. on Semantic Systems (SEMANTICS 2018), P&D Track
[3] H. Agt-Rickauer, O. Aubert, C. Hentschel, H. Sack: Authoring and Publishing Linked Open Film-Analytical Data, In Proc. of the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), P&D Track

The data of the AdA Project, the ontology, and the annotations provided on the website http://ada.filmontology.org/ and on the GitHub repository https://github.com/ProjectAdA/public is made accessible on the Web under the terms of the Creative Commons Attribution-ShareAlike 3.0 License.