Semantic 3D is a long-term research project performed at the Department of Information Technology and the VR Lab at the Poznań University of Economics and Business. The project aims at the development of new scientific solutions in the domain of distributed systems based on 3D interactive VR/AR content and services. 

To stimulate creation of VR/AR applications, it is necessary to develop techniques that enable social co-creation of content and services by a large groups of „prosumers” (users-producers), and to facilitate access to VR/AR content and services anytime and anywhere – as it is now the case of standard web pages. However, creation, searching and composition of distributed three-dimensional interactive VR/AR content and services is much more complex than classic two-dimensional web pages. This is due to the fact that relationships between components of an interactive three-dimensional virtual scene may include, in addition to its meaning and form of presentation, also spatial, temporal, structural, logical, and behavioral aspects. 

The work within the project is conducted within the Polish National Science Center research grant for young researches without the Ph.D. degree, project "Recommendation method RMV for partner and service selection in virtual organization breeding environments based on process mining techniques".

In this project a novel method for supporting partner and service selection processes based on process mining techniques is proposed. The challenge and scientific goal is to analyze past instances of collaborative processes of partner and service selection, and use this knowledge to support current and future instances. The method allows activity patterns in various instances of partner and service selection processes to be identified as repeatable patterns occurring in particular contexts. Such patterns can be used for recommendation of activities. This provides an opportunity for better computer support of collaborative processes (e.g. by automation of activity patterns) leading to more efficient and effective realization of partner and service selection process goals. Within the project, efficient algorithms will be designed and implemented, namely: activity pattern identification, context modeling and analysis, and activity recommendations.
Project coordinator: Zbigniew Paszkiewicz, M.Sc.

WebWisdom - a joint project with the Syracuse University (USA) aiming at the development of database tools and web-based retrieval techniques for distance teaching.

The e-MAX system is meant for Philips Lighting authorized business partners to let them doing business with Philips in a new manner. The e-MAX system permits not only to place orders, but first and foremost monitor and negotiate order fulfillment conditions.