most citedChatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Consistency Verification in Ontology-Based Process Models with Parameter Interdependencies

Tom Jeleniewski, Hamied Nabizada, Jonathan Reif +2

The formalization of process knowledge using ontologies enables consistent modeling of parameter interdependencies in manufacturing. These interdependencies are typically represent…

cs.AI2025

Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation

Hamied Nabizada, Tom Jeleniewski, Lasse Beers +3

This paper presents a SysML profile that enables the direct integration of planning semantics based on the Planning Domain Definition Language (PDDL) into system models. Reusable s…

cs.AI2025

Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs

Milapji Singh Gill, Tom Jeleniewski, Felix Gehlhoff +1

Time-continuous dynamic models are essential for various Cyber-Physical System (CPS) applications. To ensure effective usability in different lifecycle phases, such behavioral info…

cs.AI2024★ 1 cited

Model-based Workflow for the Automated Generation of PDDL Descriptions

Hamied Nabizada, Tom Jeleniewski, Felix Gehlhoff +1

Manually creating Planning Domain Definition Language (PDDL) descriptions is difficult, error-prone, and requires extensive expert knowledge. However, this knowledge is already emb…

cs.SE2024★ 2 cited

Semantic Capability Model for the Simulation of Manufacturing Processes

Jonathan Reif, Tom Jeleniewski, Aljosha Köcher +3

Simulations offer opportunities in the examination of manufacturing processes. They represent various aspects of the production process and the associated production systems. Howev…

cs.IR2024★ 4 cited

Chatbot-Based Ontology Interaction Using Large Language Models and Domain-Specific Standards

Jonathan Reif, Tom Jeleniewski, Milapji Singh Gill +2

The following contribution introduces a concept that employs Large Language Models (LLMs) and a chatbot interface to enhance SPARQL query generation for ontologies, thereby facilit…