WOWnet
Project description
Business relationships arise when matching demand and supply come together. Here, digitalization effectively leads to changing conditions marked by increased flexibility, mobility and agility. On the one hand, shortened innovation cycles raise expectations when it comes to the speed at which the market potential for products and services (goods) is analyzed. On the other hand, from the point of view of specific expertise and interdisciplinary expertise (know-how), structuring alliances between suitable companies to pursue joint projects demands increasing flexibility.
The massive volumes of data that have to be processed, plus the inherent dynamic nature of the data, makes it nearly impossible to utilize conventional manual analysis methods. This project thus aims to facilitate the aforementioned organizational aspects of forming business relationships by relying on artificial intelligence methods and by efficiently evaluating knowledge from the analysis of Big Data to the benefit of all participants.
Research contribution
Conducting research into the effective representation and information extraction of non-homogeneous data sets; researching the effective representation of relationships between entities.
Project sponsor
Project duration
01.05.2019 – 31.10.2021
Contact
Project partner
Publications
- Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection In the Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference (2021), 2021. Details URL BIB
- Metapath- and Entity-aware Graph Neural Network for Recommendation In Arxiv, . 2020. Details URL BIB



