Dr. rer. nat. Heiko Maus

Contact +49 631 20575 1110 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 12267663 Kaiserslautern

Publications

Enhancing Entity Recommendation for Personal Information Assistance Using LLM-based Adaptive Relevance Prediction
Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel
In: Information Management. International Conference on Information Management (ICIM-2025), 11th, March 28-30, London, United Kingdom, CCIS Series Conference Proceedings, Springer, 3/2025.
Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data
Mahta Bakhshizadeh; Heiko Maus; Andreas Dengel
In: Proceedings of the 18th ACM Conference on Recommender Systems. ACM Recommender Systems (RecSys-2024), located at 18th ACM Conference on Recommender Systems, October 14-18, Bari, Italy, RecSys '24, ISBN 9798400705052, Association for Computing Machinery, 10/2024.
Towards Context-aware Recommender Systems for Supporting Knowledge Workers in Personal and Corporate Information Space
Mahta Bakhshizadeh; Christian Jilek; Heiko Maus; Andreas Dengel
In: Workshop Proceedings of INFORMATIK 2024. AI@WORK Workshop (AI@WORK-2024), located at INFORMATIK Festival 2024, September 24, Wiesbaden, Germany, Gesellschaft für Informatik (GI), 9/2024.

TL Cybermapping
TransferLab Cybermapping
Cooperation between DFKI and Deutsche Bundesbank in a transfer lab on various topics in the financial sector, e.g. the detection of errors and anomalies in financial supervisory data, the analysis of…
myRPA
Experience-based Robotic Process Automation for Knowledge-based Personal Assistants
Robotic Process Automation (RPA) enables further automation of processes across existing systems. As RPA can act like humans and thus is able to read, transfer, and enter data in graphical user…
SensAI
Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
Potentials
Knowledge Graphs (KGs) get an increased interest in research and industry to represent data, information and knowledge from various sources in ontology-based graph structures. In addition,…
CoMem
Corporate Memory
CoMem is an ecosystem based on evolving knowledge graphs integrating information silos and legacy systems as well as (personal) information sources of knowledge workers and their teams. The ecosystem…
Managed Forgetting
Sustaining Grass-roots Organizational Memories: Foundations and Methods of Managed Forgetting for Knowledge Workers
Introducing ‘forgetting’ into organizational knowledge management methods and practices promises to help overcome information overload and to ease focusing on and refinding the really important…