“We transfer the latest research and development advances in data retrieval, analysis, annotation and linking into the media and content industries.”

Company Description

Modul Technology GmbH is the non-profit research and innovation spin-off company of Modul University Vienna. It involves University faculty and technology experts in nationally and internationally funded projects, working on innovative near-to-market data and knowledge-based research and solutions. It draws on Modul University’s existing know-how and competency through its various Schools in knowledge acquisition and management, the analysis and prediction of consumer behavior, and the development of media monitoring and business intelligence applications, as well as the use of digital techniques for interactive marketing.

Current and past projects acquired through the Research Centre of New Media Technology – which together with its commercial technology partner webLyzard technology conducts cross-disciplinary research on knowledge acquisition, content annotation, data analytics and infoviz – have established R&D competencies in media and data collection, annotation and linking, integrating extracted and external knowledge into existing workflows and powering new and extended user interfaces and applications such as: news event or topic detection, social media retrieval and analysis, multimedia linking with related information and content, predictive analytics for future events and topics.

In Horizon 2020, we developed solutions for news story detection and story-based video retrieval in the InVID project, as well as event-based knowledge extraction and trending topic prediction in the ReTV project. We continue to innovate in areas such as deep learning and predictive analytics in national projects such as EPOCH and GENTIO. In SDG-HUB we will construct a knowledge graph around the Sustainability Development Goals (SDGs). In the new EU Horizon Europe program, we will begin with Extended Reality (XR) in the TransMIXR project, where Modul Technology provides the technologies for multimodal content understanding and selection for use in immersive media experiences.

Automated news story detection and related online video retrieval, jointly developed by MODUL Technology and webLyzard as part of the InVID Horizon 2020 project

Automated event extraction from online sources powers a customized calendar of future events in the ReTV Horizon 2020 project’s Content Wizard tool. 

Predictive analytics derived from large scale Web data analysis is used to predict when selected topics will peak in popularity online, e.g. “eurovision” on May 22 (the final) or “eclipse” on May 26 (date of a total lunar eclipse).