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ORCIDJens Dörpinghaus
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2020 – today
- 2024
[j5]Jens Dörpinghaus, Vera Weil, Martin W. Sommer:
Towards modeling and analysis of longitudinal social networks. Appl. Netw. Sci. 9(1): 52 (2024)- [c29]Thomas Reiser, Jens Dörpinghaus, Petra Steiner:
Analyzing Historical Legal Textcorpora: German VET and CVET regulations. INFORMATIK 2024: 2007-2018 - [c28]Diana Martic, Andreas Fischer, Jens Dörpinghaus:
Extending the German Labor Market Ontology with Online Data. INFORMATIK 2024: 2019-2030 - [c27]Katerina Kostadinovska, Jens Dörpinghaus:
Educational pathways in a German labor market knowledge graph. INFORMATIK 2024: 2031-2033 - [c26]Meetkumar Pravinbhai Mangroliya, Jens Dörpinghaus, Robert Rockenfeller:
Node and Edge Removal on Complex Networks in Labor Market Research and their Influence on Centrality Measures. INFORMATIK 2024: 2035-2046 - [c25]Michael Tiemann, Jens Dörpinghaus, Venkatesh Hariharapura Shivashankar:
An analysis of Computer Science in OJAs with a dual-lingual ontology approach. INFORMATIK 2024: 2047-2058 - [c24]Michael Tiemann, Jens Dörpinghaus, Venkatesh Hariharapura Shivashankar, Ralf Dorau:
Comparing a legacy tools taxonomy with digital tools from Computer Science Ontology. INFORMATIK 2024: 2059-2061 - [c23]Stefan Udelhofen
, Jens Dörpinghaus:
IT Professionals in Germany. Labor Market Demands of Computer Science Education and their Perception on Social Media. ITiCSE (2) 2024 - [i7]Jens Dörpinghaus, Tobias Hübenthal, Denis Stepanov:
A novel DFS/BFS approach towards link prediction. CoRR abs/2409.11687 (2024) - 2023
- [j4]Jens Dörpinghaus, Johanna Binnewitt, Stefan Winnige, Kristine Hein, Kai Krüger:
Towards a German labor market ontology: Challenges and applications. Appl. Ontology 18(4): 343-365 (2023) - [j3]Jens Dörpinghaus, David Samray, Robert Helmrich:
Challenges of Automated Identification of Access to Education and Training in Germany. Inf. 14(10): 524 (2023) - [c22]Jens Dörpinghaus, Vera Weil, Martin W. Sommer:
Towards modelling and analysis of longitudinal social networks. FedCSIS (Communication Papers) 2023: 81-89 - [c21]Richard Fechner, Jens Dörpinghaus, Anja Firll:
Classifying Industrial Sectors from German Textual Data with a Domain Adapted Transformer. FedCSIS 2023: 463-470 - [c20]Felix Derksen, Jens Dörpinghaus:
Digitalization and Sustainability in German Continuing Education. GI-Jahrestagung 2023: 1945-1953 - [c19]Jens Dörpinghaus, Johanna Binnewitt, Kristine Hein:
Lessons from Continuing Vocational Training Courses for Computer Science Education. ITiCSE (2) 2023: 636 - [i6]Jens Dörpinghaus, David Samray, Robert Helmrich:
Rule-based detection of access to education and training in Germany. CoRR abs/2304.06307 (2023) - [i5]Richard Fechner, Jens Dörpinghaus, Robert Rockenfeller, Jennifer Faber:
A Generic Framework for Hidden Markov Models on Biomedical Data. CoRR abs/2307.13288 (2023) - 2022
- [j2]Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs:
Context mining and graph queries on giant biomedical knowledge graphs. Knowl. Inf. Syst. 64(5): 1239-1262 (2022) - [c18]Jens Dörpinghaus, Tobias Hübenthal, Jennifer Faber:
A novel link prediction approach on clinical knowledge graphs utilizing graph structures. FedCSIS 2022: 43-52 - [c17]Jens Dörpinghaus, Vera Weil, Carsten Düing, Martin W. Sommer:
Centrality Measures in multi-layer Knowledge Graphs. FedCSIS (Communication Papers) 2022: 163-170 - [c16]Jens Dörpinghaus, Vera Weil, Johanna Binnewitt:
Analyzing longitudinal Data in Knowledge Graphs utilizing shrinking pseudo-triangles. FedCSIS 2022: 323-327 - [c15]Jens Dörpinghaus:
Social Network Analysis and Co-Occurrence: Identifying the Gaps. CHAI@KI 2022: 20-28 - [c14]Jens Dörpinghaus, Vera Weil, Johanna Binnewitt:
Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads. WCO 2022: 52-70 - [i4]Jens Dörpinghaus, Vera Weil, Carsten Düing, Martin W. Sommer:
Centrality Measures in multi-layer Knowledge Graphs. CoRR abs/2203.09219 (2022) - 2021
- [c13]Jens Dörpinghaus, Sebastian Schaaf, Vera Weil, Tobias Hübenthal:
An efficient approach towards the generation and analysis of interoperable clinical data in a knowledge graph. FedCSIS 2021: 59-68 - [c12]Jens Dörpinghaus, Carsten Düing:
Automated creation of parallel Bible corpora with cross-lingual semantic concordance. FedCSIS 2021: 111-114 - 2020
- [c11]Jens Dörpinghaus, Andreas Stefan:
Semantic Graph Queries on Linked Data in Knowledge Graphs. WCO@FedCSIS 2020: 81-102 - [c10]Jens Dörpinghaus, Marc Jacobs:
Knowledge Detection and Discovery using Semantic Graph Embeddings on Large Knowledge Graphs generated on Text Mining Results. FedCSIS 2020: 169-178 - [c9]Jens Dörpinghaus, Andreas Stefan:
Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs. FedCSIS 2020: 227-236 - [i3]Jens Dörpinghaus, Andreas Stefan, Bruce Schultz, Marc Jacobs:
Towards context in large scale biomedical knowledge graphs. CoRR abs/2001.08392 (2020) - [i2]Jens Dörpinghaus, Andreas Stefan:
Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs. CoRR abs/2002.03686 (2020)
2010 – 2019
- 2019
- [c8]Jens Dörpinghaus, Carsten Düing, Vera Weil:
A Minimum Set-Cover Problem with several constraints. FedCSIS 2019: 115-122 - [c7]Jens Dörpinghaus, Andreas Stefan:
Knowledge Extraction and Applications utilizing Context Data in Knowledge Graphs. FedCSIS 2019: 265-272 - [c6]Jens Dörpinghaus, Marc Jacobs:
Semantic Knowledge Graph Embeddings for biomedical Research: Data Integration using Linked Open Data. SEMANTiCS (Posters & Demos) 2019 - [i1]Jens Dörpinghaus, Alexander Apke, Vanessa Lage-Rupprecht, Andreas Stefan:
Data Exploration and Validation on dense knowledge graphs for biomedical research. CoRR abs/1912.06194 (2019) - 2018
- [b1]Jens Dörpinghaus:
Pseudostabile Mengen in Graphen. University of Cologne, Germany, Fraunhofer Verlag 2018, ISBN 978-3-8396-1327-6, pp. 1-179 - [j1]Jens Dörpinghaus, Sebastian Schaaf, Marc Jacobs:
Soft document clustering using a novel graph covering approach. BioData Min. 11(1): 11:1-11:20 (2018) - [c5]Tim Adams, Jens Dörpinghaus, Marc Jacobs, Volker Steinhage:
Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM. FedCSIS (Communication Papers) 2018: 13-20 - [c4]Jens Dörpinghaus, Rainer Schrader:
A Graph-Theoretic Approach to the Train Marshalling Problem. FedCSIS 2018: 227-231 - [c3]Jens Dörpinghaus, Johannes Darms, Marc Jacobs:
What was the Question? A Systematization of Information Retrieval and NLP Problems. FedCSIS 2018: 471-478 - [c2]Jens Dörpinghaus, Jürgen Klein, Johannes Darms, Sumit Madan, Marc Jacobs:
SCAIView - A Semantic Search Engine for Biomedical Research Utilizing a Microservice Architecture. SEMANTiCS (Posters & Demos) 2018 - 2017
- [c1]Jens Dörpinghaus, Sebastian Schaaf, Juliane Fluck, Marc Jacobs:
Document Clustering using a Graph Covering with Pseudostable Sets. FedCSIS 2017: 329-338
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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