Beschreibung von Forschungsthemen pro Forschungsleuchtturm
Forschungsleuchtturm
Institute for Applied Artificial Intelligence
The Institute for Applied Artificial Intelligence strives to bring AI into application, thus bridging the gap between research on the one hand and enterprises and society on the other. By keeping track, assessing recent research and understanding its potential for enterprise applications, the IAAI will help to establish AI as key future technology.
Knowledge Graphs in the Visual Media Domain
The current research project “Japanese Visual Media Graph” aims to create a research database on Japanese visual media, including, but not limited to anime, manga, computer games and visual novels. It is aimed at researchers in Japan studies who focus on modern media and its expressions, themes, topics, characters and reception. We envision a graph-based, highly interconnected database structure, similar to the Google knowledge graph that is combined with a flexible search interface and analytic tools.
We intend to use the data on Japanese visual media that is being created and curated by the many enthusiast communities on the web. An initial survey of several larger community websites showed an incredible depth of information, a deep understanding of the source material as well as a high attention to details on part of the volunteer contributors. As such, making contact with these communities and learning about their needs and motivations is one of the main project elements. We intend to engage into a meaningful discussion with representatives and administrators of the community sites in order to establish a long-term cooperation that benefits both sides.
The architecture will be completely open source and most likely be based on the software stack that is being developed in the Wikidata project. It is one of the more advanced deployments of a huge graph-based database with integrated search and visualization features and has an already established development community. It also provides means to annotate and propose changes to the data in a well-documented and traceable way.
We encourage applications with proposals for independent research in the context of this project. Possible topics include:
- Documenting best practices in working with online enthusiast communities
- Creating an ontology for parts of the visual media domain and implementing it using the existing data
- Search and retrieval solutions for specific research questions in the Japanese visual media domain
Name und Kontaktdaten: Prof. Magnus Pfeffer, pfeffer@hdm-stuttgart.de
Fachrichtung, Studiengänge: Informationswissenschaft, Informatik
Notwendiges Vorwissen: Programmierkenntnisse (idealerweise in Python), Grundlagen der Datenstrukturierung und Linked Open Data
Literatur / weiterführende Links:
Project homepage: https://jvmg.iuk.hdm-stuttgart.de/
Annett, Sandra. Anime fan communities: Transcultural flows and frictions. Springer, 2014.
Kiryakos, Senan, and Shigeo Sugimoto. "The Representation of a Multimedia Franchise as a Single Entity: Contrasting Existing Bibliographic Entities With Web-Based Superwork Portrayals." LIBRES: Library & Information Science Research Electronic Journal 28.2 (2018).
Kiryakos, Senan, et al. "Towards a conceptual framework for Superworks." Proceedings of the 7th Conference of Japanese Association for Digital Humanities. 2017.
Kiryakos, Senan, and Shigeo Sugimoto. "A linked data model to aggregate serialized manga from multiple data providers." International Conference on Asian Digital Libraries. Springer, Cham, 2015.
Paulheim, Heiko. "Knowledge graph refinement: A survey of approaches and evaluation methods." Semantic web 8.3 (2017): 489-508.
Steinberg, Marc. Anime's media mix: Franchising toys and characters in Japan. U of Minnesota Press, 2012.
Taelman, Ruben, Miel Vander Sande, and Ruben Verborgh. "GraphQL-LD: Linked Data Querying with GraphQL." International Semantic Web Conference (P&D/Industry/BlueSky). 2018.