activity
20212024
most citedTowards Cognitive Bots: Architectural Research Challenges

6 citations · 10 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SY2024★ 1 cited

Aligning Models with Their Realization through Model-based Systems Engineering

Lovis Justin Immanuel Zenz, Erik Heiland, Peter Hillmann +1

In this paper, we propose a method for aligning models with their realization through the application of model-based systems engineering. Our approach is divided into three steps.…

cs.DB2024★ 2 cited

Constraint based Modeling according to Reference Design

Erik Heiland, Peter Hillmann, Andreas Karcher

Reference models in form of best practices are an essential element to ensured knowledge as design for reuse. Popular modeling approaches do not offer mechanisms to embed reference…

cs.DC2024

A Document-based Knowledge Discovery with Microservices Architecture

Habtom Kahsay Gidey, Mario Kesseler, Patrick Stangl +2

The first step towards digitalization within organizations lies in digitization - the conversion of analog data into digitally stored data. This basic step is the prerequisite for…

cs.HC2023

User-Like Bots for Cognitive Automation: A Survey

Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher +1

Software bots have attracted increasing interest and popularity in both research and society. Their contributions span automation, digital twins, game characters with conscious-lik…

cs.AI2023★ 6 cited

Towards Cognitive Bots: Architectural Research Challenges

Habtom Kahsay Gidey, Peter Hillmann, Andreas Karcher +1

Software bots operating in multiple virtual digital platforms must understand the platforms' affordances and behave like human users. Platform affordances or features differ from o…

cs.SE2022★ 1 cited

Methodology for Holistic Reference Modeling in Systems Engineering

Dominik Ascher, Erik Heiland, Diana Schnell +2

Models in face of increasing complexity support development of new systems and enterprises. For an efficient procedure, reference models are adapted in order to reach a solution wi…

cs.SE2022

Enterprise Model Library for Business-IT-Alignment

Peter Hillmann, Diana Schnell, Harald Hagel +1

The knowledge of the world is passed on through libraries. Accordingly, domain expertise and experiences should also be transferred within an enterprise by a knowledge base. Theref…

cs.DC2021

Enterprise Architecture Model Transformation Engine

Erik Heiland, Peter Hillmann, Andreas Karcher

With increasing linkage within value chains, the IT systems of different companies are also being connected with each other. This enables the integration of services within the mov…

cs.IR2021

Automated Enterprise Architecture Model Mining

Peter Hillmann, Erik Heiland, Andreas Karcher

Metadata are like the steam engine of the 21st century, driving businesses and offer multiple enhancements. Nevertheless, many companies are unaware that these data can be used eff…

cs.CR2021

Selective Deletion in a Blockchain

Peter Hillmann, Marcus Knüpfer, Erik Heiland +1

The constantly growing size of blockchains becomes a challenge with the increasing usage. Especially the storage of unwanted data in a blockchain is an issue, because it cannot be…