VLDB 2026 Research / reviewers in the wild / expert
Christian Kop
dblp:k/CKop
· DBLP profile ↗
19ranked-venue papers
6as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 11 · 2 first-authorArtificial intelligence and machine learning · 10 · 1 first-authorSoftware engineering, systems software and programming languages · 5 · 3 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | LLM-Supported Generation of Class Diagrams with Test Cases
Christian Kop |
MODELSWARD | 1 |
| 2025 | Evaluating the Quality of Class Diagrams Created by a Generative AI: Findings, Guidelines and Automation Options
Christian Kop |
MODELSWARD | 1 |
| 2010 | How to Summarize an OWL Domain OntologyabstractWith the Semantic Web Initiative, the Internet more and more becomes an Internet which contains ontologies for different domains. Such ontologies were mainly generated to be machine interpretable. Nevertheless, in a digital Society also the human reader must have the possibility to decide if an ontology is usable for his purpose. This paper will present an approach which allows getting a quick overview of the focus of an ontology. In order to fulfill this, the paper describes how to generate a controlled natural language summary of the ontology for the human reader. Christian Kop |
ICDS | 1 |
| 2010 | Guideline based evaluation and verbalization of OWL class and property labels
Günther Fliedl, Christian Kop, Jürgen Vöhringer |
Data Knowl. Eng. | 2 |
| 2010 | Guest Editors' Introduction
Miguel-Ángel Sicilia, Christian Kop, Fabio Sartori |
Int. J. Softw. Eng. Knowl. Eng. | 2 |
| 2009 | What are Main Concepts in an OWL Domain Ontology?
Christian Kop |
KEOD | 1 |
| 2009 | Continuous Conceptual Schema Quality Checking
Christian Kop |
ICSOFT (1) | 1 |
| 2008 | A Uniform Web Service Description Representation for Different ReadersabstractFor the presentation of Web services different kinds of readers must be considered. They have different intentions for reading a Web service. Natural language and UML seem to be adequate representation; however they have also their disadvantages. Therefore glossaries as an additional representation concept are introduced. It will be discussed to which degree glossaries can be a uniform representation format for different kinds of readers and the different information which can be derived from a Web service description. Doris Gälle, Christian Kop, Heinrich C. Mayr |
ICDS | 2 |
| 2008 | Towards Simulation-Based Quality Requirements Elicitation: A Position Paper
Roland H. Kaschek, Christian Kop, Vladimir A. Shekhovtsov, Heinrich C. Mayr |
REFSQ | 2 |
| 2008 | Special issue on Natural Language Processing and Information Systems (NLDB 2006)
Christian Kop, Heinrich C. Mayr, Günther Fliedl, Elisabeth Métais |
Data Knowl. Eng. | 1 |
| 2007 | Business Process Modeling and Requirements ModelingabstractBusiness process modeling is an important part of each software development project. No software is developed without specifying it's use within the context of business processes. Since business process modeling is an important task during requirements engineering, in our opinion the same basic modeling notions should be used. This paper gives a first proposal how this can be done. Heinrich C. Mayr, Christian Kop, Daniela Esberger |
ICDS | 2 |
| 2007 | From OWL Class and Property Labels to Human Understandable Natural Language
Günther Fliedl, Christian Kop, Jürgen Vöhringer |
NLDB | 2 |
| 2007 | Deriving static and dynamic concepts from software requirements using sophisticated tagging
Günther Fliedl, Christian Kop, Heinrich C. Mayr, Alexander Salbrechter, Jürgen Vöhringer, Georg Weber |
Data Knowl. Eng. | 2 |
| 2005 | Extended Tagging and Interpretation Tools for Mapping Requirements Texts to Conceptual (Predesign) Models
Günther Fliedl, Christian Kop, Heinrich C. Mayr, Martin Hölbling, Thomas Horn, Georg Weber |
NLDB | 2 |
| 2005 | From textual scenarios to a conceptual schema
Günther Fliedl, Christian Kop, Heinrich C. Mayr |
Data Knowl. Eng. | 2 |
| 2004 | Semantic Tagging and Chunk-Parsing in Dynamic Modeling
Günther Fliedl, Christian Kop, Heinrich C. Mayr, Georg Weber, Alexander Salbrechter |
NLDB | 2 |
| 2003 | From Scenarios to KCPM Dynamic Schemas: Aspects of Automatic Mapping
Günther Fliedl, Christian Kop, Heinrich C. Mayr |
NLDB | 2 |
| 2000 | Guidelines for NL-Based Requirements Specifications in NIBA
Günther Fliedl, Christian Kop, Willi Mayerthaler, Heinrich C. Mayr |
NLDB | 2 |
| 2000 | Linguistically based requirements engineering - The NIBA-project
Günther Fliedl, Christian Kop, Heinrich C. Mayr, Willi Mayerthaler |
Data Knowl. Eng. | 2 |