Publications

S. Chatzopoulos, K. Vichos, I. Kanellos, T. Vergoulis (2023) Piloting topic-aware research impact assessment features in BIP! Services. Extended Semantic Web Conference (ESWC) DOI: https://doi.org/10.48550/arXiv.2305.06047
S. Chatzopoulos, T. Vergoulis, D. Skoutas, T. Dalamagas, C. Tryfonopoulos, P. Karras (2023) Atrapos: Real-time Evaluation of Metapath Query Workloads. WWW '23: Proceedings of the ACM Web Conference 2023 DOI: https://doi.org/10.1145/3543507.3583322

S. Chatzopoulos, T. Vergoulis, D. Skoutas, T. Dalamagas, C. Tryfonopoulos, P. Karras (2023) Real-time Evaluation of Metapath Query Workloads. ACM Web Conference (WWW) DOI: https://dl.acm.org/doi/10.1145/3543507.3583322

L.C. Shimomura, G. Fletcher, & N. Yakovets (2023) ProGGD - Data Profiling on Knowledge Graphs using Graph Generating Dependencies. International Workshop on the Semantic Web. URL: https://api.semanticscholar.org/CorpusID:267501800

E. Fuster, T. Fernández, H. Carretero, N. Duran-Silva, R. Guixé, J. Pujol, B. Rondelli, G. Rull, M. Cortijo, M. Romagosa (2023) Towards building a monitoring platform for a challenge-oriented smart specialisation with RIS3-MCAT. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). DOI: https://doi.org/10.48550/arXiv.2401.10900
P. Koloveas, S. Chatzopoulos, C.Tryfonopoulos & T. Vergoulis (2023) BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops Springer. Linking Theory and Practice of Digital Libraries. DOI: https://doi.org/10.1007/978-3-031-43849-3_9

W. van Leeuwen, G. Fletcher, N. Yakovets (2023) A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs. IEEE Transactions on Knowledge and Data Engineering, 35(6), 5485–5505. DOI: https://doi.org/10.1109/TKDE.2022.3161328

W. van Leeuwen, G. Fletcher, and N. Yakovets (2024) HomeRun: A Cardinality Estimation Advisor for Graph Databases. Proceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) (GRADES-NDA '24). Association for Computing Machinery, New York, NY, USA, Article 6, 1–9. DOI: https://doi.org/10.1145/3661304.3661902

S. Kotitsas, P. Kounoudis, E. Koutli, H. Papageorgiou (2024) Leveraging fine-tuned Large Language Models with LoRA for Effective Claim, Claimer, and Claim Object Detection Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). URL: https://aclanthology.org/2024.eacl-long.156

N. Duran-Silva, P. Accuosto, P. Przybyła, and H. Saggion, (2024) AffilGood: Building reliable institution name disambiguation tools to improve scientific literature analysis. In Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024) (pp. 135-144). URL: https://aclanthology.org/2024.sdp-1.13.pdf

L. C. Shimomura, N. Yakovets, G. Fletcher (2024) Discovering Graph Generating Dependencies for Property Graph Profiling. CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. DOI: https://doi.org/10.1145/3627673.3679764; arXiv:
https://doi.org/10.48550/arXiv.2403.17082

D. Roussis, S. Sofianopoulos, S. Piperidis (2024) Enhancing Scientific Discourse: Machine Translation for the Scientific Domain. Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1: Research And Implementations & Case Studies) (EAMT 2024). URL: https://eamt2024.github.io/proceedings/vol1.pdf

L. C. Shimomura, N. Yakovets, G. Fletcher (2024) Reasoning on property graphs with graph generating dependencies. Information Sciences, Volume 672, 120675. DOI: https://doi.org/10.1016/j.ins.2024.120675

Pavone, G.; Baglioni, M.; Bardi, A.; Amodeo, S. (2025) OpenAIRE's role in advancing Open Science. Article in BIOETICA (in Italian). Handle: https://hdl.handle.net/20.500.14243/541685

M. Kallipoliti, S. Chatzopoulos, M. Baglioni, E. Adamidi, P. Koloveas, T. Vergoulis (2025) From raw affiliations to organization identifiers. Proceedings of the 29th International Conference on Theory and Practice of Digital Libraries (TPDL 2025). Springer Nature. DOI: https://doi.org/10.1007/978-3-032-05409-8_8; arXiv: https://doi.org/10.48550/arXiv.2505.07577

P. Koloveas, S. Chatzopoulos, T. Vergoulis, C. Tryfonopoulos (2025) Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs. Proceedings of the 29th International Conference on Theory and Practice of Digital Libraries (TPDL 2025). Springer Nature. DOI: https://doi.org/10.1007/978-3-032-05409-8_13; arXiv: https://doi.org/10.48550/arXiv.2502.14561

T. Mulder, G. Fletcher, N. Yakovets (2025) Optimizing navigational graph queries. The VLDB Journal, 34, Article 26, 1–26. DOI: https://doi.org/10.1007/s00778-024-00892-7