Sebis Research News

SAP and the Technical University of Munich (TUM) maintain close collaboration in the context of the Industry-on-Campus strategy. As part of this partnership, the SAP@TUM Collaboration Lab, an initiative of the SAP Industry-University Collaboration Hub and the sebis chair, supports joint projects between SAP and TUM. The SAP@TUM Collaboration Lab promotes applied research projects, knowledge exchange, co-innovation and communication between both partners.

On Wednesday, November 23, 2022, the first SAP@TUM Collaboration Day took place at the Science Congress Center on the campus in Garching. TUM researchers and SAP experts came together to provide insights into eight joint research projects around topics of Enterprise AI, Supply Network Planning, ESG&Finance, Scaling Agile and Digital Transformation. Two of those projects in the area of Enterrpise AI and Scaling Agile are exectued and were presented by our doctoral students Anum Afzal, Pascal Philipp and Franziska Tobisch. The event was opened by TUM President Prof. Thomas F. Hofmann and SAP Executive Board member Thomas Saueressig. Besides the numerous exciting presentations and related discussions, the event setup allowed a lively exchange between the more than 100 participants on site. In addition, around 400 participants of SAP and TUM followed the presentations online. 

For more information about this event and the SAP@TUM Collaboration, please visit the following website: https://www.ioc.tum.de/sap-colab/startseite/ and subscribe to our newsletter.

Börse Stuttgart Digital Exchange approached sebis to write articles on topics from the blockchain ecosystem for their academy blog. Burak Öz wrote an article on the future of Ethereum with Proof-of-Stake. You can read the article here: https://academy.bsdex.de/auf-dem-weg-in-die-zukunft-von-ethereum-mit-proof-of-stake

Börse Stuttgart Digital Exchange approached sebis to write articles on topics from the blockchain ecosystem for their academy blog. Burak Öz wrote his first article on maximal extractable value (MEV) and the value of information in blockchains. You can read the article here: https://academy.bsdex.de/der-wert-von-informationen-in-blockchains-maximal-extractable-value-mev

The paper "Multi-faceted context-dependent knowledge organisation with TACKO" was accepted at the i-KNOW 2012 conference.

In the paper, the author team Florian Matthes, Christian Neubert, and Alexander Steinhoff introduce TACKO, a novel organization scheme that is inspired by the flexibility of tagging systems and incorporates elements of hierarchical and faceted organization schemes.

The article Data Model Driven Implementation of Web Cooperation Systems with Tricia has been accepted for publication at ICOODB 2010.
In the article the author team (Thomas Büchner, Florian Matthes, and Christian Neubert) present the data model framework of Tricia, an open source web collaboration and knowledge software.