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.
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.
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.
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.
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.
Datei: arXiv.2305.08804
Bibtex: 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.
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.
Datei: 978-3-031-35078-8_13
Bibtex: 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.
Datei: 978-981-19-7126-6_17