Hanieh Khorashadizadeh
- Research Assistant -
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 2. OG
Email: | hanieh.khorashadizadeh(at)uni-luebeck.de |
Phone: | +49 451 3101 5723 |
Curriculum Vitae
- Seit 22. Juni 2022 - wissenschaftliche Mitarbeiterin am Institut für Informationssysteme der Universität zu Lübeck im Rahmen des DFG-ANR Projektes QualityOnt unter der Leitung von Herrn Prof. Dr. Sven Groppe.
Publications
2024
Hanieh
Khorashadizadeh,
Jinghua
Groppe,
Jessica
Lückert,
Sanju
Tiwari, and
Sven
Groppe,
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach, in 10th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2024.
Assessing the Impact of Government Policies on Covid-19 Spread: A Machine Learning Approach, in 10th International Conference on Machine Learning, Optimization, and Data Science (LOD), Tuscany, Italy , 2024.
Zeinab Sadat
Rabani,
Hanieh
Khorashadizadeh,
Shirin
Abdollahzade,
Sven
Groppe, and
Javad
Ghofrani,
Developers’ Perspective on Trustworthiness of Code Generated by ChatGPT: Insights from Interviews, in Applied Machine Learning and Data Analytics (AMLDA 2023), Lübeck, Germany , Springer Nature Switzerland, 2024. pp. 215–229.
Developers’ Perspective on Trustworthiness of Code Generated by ChatGPT: Insights from Interviews, in Applied Machine Learning and Data Analytics (AMLDA 2023), Lübeck, Germany , Springer Nature Switzerland, 2024. pp. 215–229.
Datei: | 978-3-031-55486-5_16 |
Hanieh
Khorashadizadeh,
Fatima Zahra
Amara,
Morteza
Ezzabady,
Frédéric
Ieng,
Sanju
Tiwari,
Nandana
Mihindukulasooriya,
Jinghua
Groppe,
Soror
Sahri,
Farah
Benamara, and
Sven
Groppe,
Research Trends for the Interplay between Large Language Models and Knowledge Graphs, in VLDB 2024 Workshop: The International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs (LLM+KG), Guangzhou, China , 2024.
Research Trends for the Interplay between Large Language Models and Knowledge Graphs, in VLDB 2024 Workshop: The International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs (LLM+KG), Guangzhou, China , 2024.
Datei: | LLM+KG-9.pdf |
Morteza
Ezzabady,
Frédéric
Ieng,
Hanieh
Khorashadizadeh,
Farah
Benamara,
Sven
Groppe, and
Soror
Sahri,
Towards Generating High-Quality Knowledge Graphs by Leveraging Large Language Models, in The 29th Annual International Conference on Natural Language \& Information Systems (NLDB 2024), Turin, Italy , 2024.
Towards Generating High-Quality Knowledge Graphs by Leveraging Large Language Models, in The 29th Annual International Conference on Natural Language \& Information Systems (NLDB 2024), Turin, Italy , 2024.
Datei: | 978-3-031-70239-6_31 |
2023
Hanieh
Khorashadizadeh,
Nandana
Mihindukulasooriya,
Sanju
Tiwari,
Jinghua
Groppe, and
Sven
Groppe,
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text, CoRR , vol. abs/2305.08804, 2023.
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text, CoRR , vol. abs/2305.08804, 2023.
Datei: | arXiv.2305.08804 |
Bibtex: | @inproceedings{Khorashadizadeh2023Text2KGInContextLearning, title = {Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text}, author = {Hanieh Khorashadizadeh and Nandana Mihindukulasooriya and Sanju Tiwari and Jinghua Groppe and Sven Groppe}, booktitle = {Proceedings of the 2nd International Workshop on Knowledge Graph Generation From Text (Text2KG) in conjunction with the Extended Semantic Web Conference (ESWC 2023), Hersonissos, Greece}, year = {2023}, url = {https://ceur-ws.org/Vol-3447/Text2KG_Paper_9.pdf} } |
Hanieh
Khorashadizadeh,
Frédéric
Ieng,
Morteza
Ezzabady,
Soror
Sahri,
Sven
Groppe, and
Farah
Benamara,
Personal Knowledge Graphs (PKGs): Methodology, tools and applications, Institution of Engineering and Technology, 2023, pp. 277--293.
Personal Knowledge Graphs (PKGs): Methodology, tools and applications, Institution of Engineering and Technology, 2023, pp. 277--293.
Datei: | pbpc063e_ch12 |
2022
Hanieh
Khorashadizadeh,
Sanju
Tiwari, and
Sven
Groppe,
A Survey on Covid-19 Knowledge Graphs and their Data Sources, in Proceedings of the EAI International Conference on Intelligent Systems and Machine Learning (EAI ICISML 2022) , 2022.
A Survey on Covid-19 Knowledge Graphs and their Data Sources, in Proceedings of the EAI International Conference on Intelligent Systems and Machine Learning (EAI ICISML 2022) , 2022.
Datei: | 978-3-031-35078-8_13 |
Bibtex: | @inproceedings{Khorashadizadeh22Covid19, author = {Hanieh Khorashadizadeh and Sanju Tiwari and Sven Groppe}, title = {A Survey on Covid-19 Knowledge Graphs and their Data Sources}, year = {2022}, booktitle = {Proceedings of the EAI International Conference on Intelligent Systems and Machine Learning (EAI ICISML 2022)}, location = {Hyderabad, India}, url = {https://doi.org/10.1007/978-3-031-35078-8_13} } |
Sven
Groppe,
Sanju
Tiwari,
Hanieh
Khorashadizadeh,
Jinghua
Groppe,
Tobias
Groth,
Farah
Benamara, and
Soror
Sahri,
Short Analysis of the Impact of COVID-19 Ontologies, in International Semantic Intelligence Conference (ISIC 2022), online , 2022.
Short Analysis of the Impact of COVID-19 Ontologies, in International Semantic Intelligence Conference (ISIC 2022), online , 2022.
Datei: | 978-981-19-7126-6_17 |
- Team
- Umut Çalıkyılmaz
- Rebecca von Engelhardt
- Björn Filter
- Nils Fußgänger
- Sven Groppe
- Tobias Groth
- Mattis Hartwig
- Nils Wendel Heinrich
- Hanieh Khorashadizadeh
- Angela König
- Malte Luttermann
- Jörg-Uwe Meyer
- Jeannette Mödlhammer
- Nitin Nayak
- Simon Paasche
- Maximilian Plitt
- Nele Rußwinkel
- Simon Schiff
- Sina Scholz
- Tim Schulz
- Thomas Sievers
- Tobias Winker
- Alumni