"Learning is like rowing against the stream. As soon as you stop, you drift back." (Benjamin Britten). To always stay at the cutting edge, we continuously participate as partners in national and international research projects. This gives us the opportunity to directly evaluate the practicality of current research findings in our software products and, if needed, integrate them into our portfolio. Moreover, in this creative and innovative environment, our team can consistently "think outside the box" and explore new approaches.
FAIRmedia (2023-2025)
FAIRmedia has the objective to create a framework for the efficient collection of trusted datasets from recent and archived content of Austrian media organisations, create no- and low-code tools for training AI models usable by journalists, head of (corporate) newsrooms, audience managers and archivists and develop post-hoc explainable AI tools that can be used to understand the trained models and analysis biases. For dataset creation, highly relevant current content from the daily production processes and from the professionally annotated archives of Austrian media companies will be used, and assessed for balanced coverage and factual correctness.Three major Austrian media companies, the ORF archive, the APA-Defacto media data base and the Mediathek will provide their expertise in media and provide datasets. The faculty of law from the University Vienna provides the regulatory framework for sharing and using such datasets. FH St. Pölten organizes the requirements and develops the user interfaces. Redlink develops the media catalog platform and specific usage scenarios, such as supporting question answering, and the coordinator from Joanneum Research provides their expertise in audio-visual data and machine learning.
The outcome of the project is an open-source media catalogue that supports journalists and media companies to re-use high quality sets of audiovisual and textual media together with their metadata in their own artificial intelligence applications.
More (2022-2023)
The objective of this project is the development of a digital infrastructure for sustainable health research, with a focus on the creation and execution of studies using digital technologies. Such a central technical infrastructure enables the efficient resolution of recurring challenges, such as the integration of external devices and sensors, the collection of large volumes of data from diverse sources (increasingly in real-time), the management of a large number of study participants, and compliance with current data security standards.
At its core, there is a web application that allows experts in application development or healthcare to define and manage studies and evaluation processes. Study participants or researchers (for evaluation pruposes) are provided with a smartphone app, which configures itself accordingly upon registration for a specific study or evaluation. This app is designed to support the study's execution, enabling activities such as the collection of questionnaires and sensor data from wearables over extended periods, in parallel with the participants' daily routines.
The outcome of the project is the creation of an open-source platform that is technologically current, user-friendly, and has freely accessible source code. In addition to academic institutions, this platform should also be available to companies for prototyping, evaluation, and further development of their products, serving as a core facility for future projects in the Salzburg region. This initiative aims to stimulate research and development collaborations and establish Salzburg as a hub for digital health, ultimately contributing to the growth and advancement of the field.
Tailored Media (2020-2022)
The digitalization of film, television, and video has not only preserved but also expanded their significance as leading means of communication, particularly with the internet and constant accessibility through mobile devices. To archive the vast amount of video content as part of our cultural heritage and facilitate further use, it is essential to provide the most comprehensive and accurate descriptions of the content.
TailoredMedia - Tailored and Agile Enrichment and Linking for Semantic Description of Multimedia - researches and develops methods for the automatic analysis of audiovisual content based on artificial intelligence (AI). This automates semantic enrichment and enables use cases in media monitoring, journalism, and archiving through an easily accessible user interface.
The results of this automatic analysis contribute to innovative methods for fusing multimodal information, which store the acquired information in a knowledge graph. This enables the enrichment or supplementation of the description of text and media content with semantic metadata.
This project is funded by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation, and Technology (BMK) as part of the "ICT of the Future" program.
You can find more information on the official project website!
Wordlift NG (2020-2022)
WordLift, Redlink GmbH, SalzburgerLand Tourismus GmbH, and the Institute of Computer Science at the University of Innsbruck are collaborating on the "WordLift Next Generation" project to develop a new platform to provide agentive SEO technology for any website. WordLift, an Italian startup with an AI-based SEO tool of the same name, has received financial support from Eurostars/Eureka H2020 in partnership with its collaborators. "Artificial Intelligence is shaping the online world with significant investments from GAFAM (Google, Apple, Facebook, Amazon, and Microsoft). WordLift has successfully brought new technology using WordPress to SMEs and news publishers. It's time to expand outside of the WordPress ecosystem and add new services such as semantic search, enhanced content recommendations, and conversational UI for Google Assistant and Alexa to remain competitive in this market segment." (Andrea Volpini, CEO von WordLift).
Redlink supports the consortium in developing and improving the fundamental knowledge database. This will make it possible to decouple WordLift from WordPress, making this technology available for any website worldwide. The consortium's goal is also to enhance the quality of content recommendations, achieve an improved semantic search experience, and support conversational interfaces like Google Assistant and Alexa.
You can find information about the ongoing project results here!