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ORCIDSahar Vahdati
Person information
- affiliation: Technische Informationsbibliothek, Leibniz Universität Hannover, Germany
- affiliation (former): Institute for Applied Informatics (InfAI), Dresden, Germany
- affiliation (former): University of Oxford, Department of Computer Science, UK
- affiliation (former): University of Bonn, Department of Intelligent Systems, Germany
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2020 – today
- 2025
[j20]Kossi Amouzouvi
, Yashrajsinh Chudasama, Disha Purohit, Ariam Rivas, Bowen Song, Jens Lehmann, Sahar Vahdati, Maria-Esther Vidal:
SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations. IEEE Access 13: 74701-74719 (2025)- [j19]Lena Jurkschat, Preetam Gattogi, Sahar Vahdati, Jens Lehmann:
BALI - A Benchmark for Accelerated Language Model Inference. IEEE Access 13: 98976-98989 (2025) - [c53]Prathmesh Dudhe, Jason Li, Muhammad Hamza Yousuf, Jens Lehmann, Sahar Vahdati:
ICU Mechanical Ventilation Data Imputation. AIAI (3) 2025: 140-154 - [c52]Riccardo Pozzi, Matteo Palmonari, Andrea Coletta, Luigi Bellomarini, Jens Lehmann, Sahar Vahdati:
ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation. ISWC (1) 2025: 290-308 - [e9]David Chaves-Fraga, Ivan Heibi, Daniel Garijo, Diego Collarana, Angelo A. Salatino, Sahar Vahdati:
Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 21st International Conference on Semantic Systems co-located with 21st International Conference on Semantic Systems (SEMANTiCS 2025), Vienna, Austria, September 3-5, 2025. CEUR Workshop Proceedings 4064, CEUR-WS.org 2025 [contents] - [i23]Farhana Keya, Gollam Rabby, Prasenjit Mitra, Sahar Vahdati, Sören Auer, Mohamad Yaser Jaradeh:
SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings. CoRR abs/2503.19257 (2025) - [i22]Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati, Raphael Theilen, Jakob Wittenstein, Jens Lehmann:
IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards. CoRR abs/2506.14375 (2025) - [i21]Kossi Amouzouvi, Bowen Song, Andrea Coletta, Luigi Bellomarini, Jens Lehmann, Sahar Vahdati:
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs. CoRR abs/2507.13001 (2025) - [i20]Nur A. Zarin Nishat, Andrea Coletta, Luigi Bellomarini, Kossi Amouzouvi, Jens Lehmann, Sahar Vahdati:
Aligning Knowledge Graphs and Language Models for Factual Accuracy. CoRR abs/2507.13411 (2025) - [i19]Riccardo Pozzi, Matteo Palmonari, Andrea Coletta, Luigi Bellomarini, Jens Lehmann, Sahar Vahdati:
ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation. CoRR abs/2508.16983 (2025) - 2024
- [j18]Fardin Rastakhiz, Mahdi Eftekhari, Sahar Vahdati:
QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization. IEEE Access 12: 156965-156979 (2024) - [j17]Kossi Amouzouvi, Sahar Vahdati, Bowen Song, Bernard O. Bainson, Nur A. Zarin Nishat, Jens Lehmann:
A Study of LFT Embeddings in the Second Order Clifford Algebra Cl(R²,º). IEEE Access 12: 187741-187755 (2024) - [j16]Farid Saberi-Movahed, Bitasta Biswas, Prayag Tiwari, Jens Lehmann, Sahar Vahdati:
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. Expert Syst. Appl. 249: 123645 (2024) - [j15]Jens Lehmann, Dhananjay Bhandiwad, Preetam Gattogi, Sahar Vahdati:
Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources. Trans. Assoc. Comput. Linguistics 12: 786-802 (2024) - [j14]Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati:
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis. Trans. Mach. Learn. Res. 2024 (2024) - [c51]Kossi Amouzouvi, Bowen Song, Sahar Vahdati, Jens Lehmann:
Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. LREC/COLING 2024: 9832-9842 - [c50]Farhad Safaei, Milos Nenadovic, Roman Liessner, Raphael Theilen, Jakob Wittenstein, Jens Lehmann, Sahar Vahdati:
X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning. ECAI 2024: 4719-4726 - [c49]Charvi Jain, Sahar Vahdati, Nandu Gopan, Ivo F. Sbalzarini, Jens Lehmann:
Evaluating Large Language Model Literature Reviews in Interdisciplinary Science: A Systems Biology Perspective. EKAW (Companion) 2024 - [c48]Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Sahar Vahdati:
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. ESWC (1) 2024: 199-217 - [c47]Antonello Meloni, Diego Reforgiato Recupero, Francesco Osborne, Angelo A. Salatino, Enrico Motta, Sahar Vahdati, Jens Lehmann:
Assessing Large Language Models for SPARQL Query Generation in Scientific Question Answering. HGAIS@ISWC 2024 - [e8]Angelo A. Salatino, Mehwish Alam, Femke Ongenae, Sahar Vahdati, Anna Lisa Gentile, Tassilo Pellegrini, Shufan Jiang:
Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI - Proceedings of the 20th International Conference on Semantic Systems, 17-19 September 2024, Amsterdam, The Netherlands. Studies on the Semantic Web 60, IOS Press 2024, ISBN 978-1-64368-537-3 [contents] - [e7]Daniel Garijo, Anna Lisa Gentile, Anelia Kurteva, Andrea Mannocci, Francesco Osborne, Sahar Vahdati:
Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September 17-19, 2024. CEUR Workshop Proceedings 3759, CEUR-WS.org 2024 [contents] - [i18]Lorenzo Paolini, Sahar Vahdati, Angelo Di Iorio, Robert Wardenga, Ivan Heibi, Silvio Peroni:
Why do you cite? An investigation on citation intents and decision-making classification processes. CoRR abs/2407.13329 (2024) - 2023
- [j13]Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati:
Unsupervised feature selection based on variance-covariance subspace distance. Neural Networks 166: 188-203 (2023) - [c46]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention is All You Need. CIKM 2023: 4752-4758 - [c45]Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI 2023: 1348-1356 - [c44]Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati:
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) 2023: 601-616 - [c43]Sahar Vahdati, Deepankan Bharathi Nagaraj, Maximilian Bryan, Sobhan Moazemi, Sabine Gründer-Fahrer, Michael Martin:
Utilizing Transformers on OCT Imagery and Metadata for Treatment Response Prediction in Macular Edema Patients. SCIA (2) 2023: 3-15 - [e6]Maribel Acosta, Silvio Peroni, Sahar Vahdati, Anna Lisa Gentile, Tassilo Pellegrini, Jan-Christoph Kalo:
Knowledge Graphs: Semantics, Machine Learning, and Languages - Proceedings of the 19th International Conference on Semantic Systems, 20-22 September 2023, Leipzig, Germany. Studies on the Semantic Web 56, IOS Press 2023, ISBN 978-1-64368-424-6 [contents] - [e5]Jennifer D'Souza, Anisa Rula, David Chaves-Fraga, Mersedeh Sadeghi, Shahrom Hosseini Sohi, Julián Andrés Rojas, Pieter Colpaert, Edlira Vakaj, Sanju Tiwari, Sahar Vahdati, Anna Lisa Gentile:
Joint Workshop Proceedings of the 5th International Workshop on A Semantic Data Space For Transport (Sem4Tra) and 2nd NLP4KGC: Natural Language Processing for Knowledge Graph Construction co-located with the 19th International Conference on Semantic Systems (SEMANTiCS 2023), Leipzig, Germany and Online, 20 September, 2023. CEUR Workshop Proceedings 3510, CEUR-WS.org 2023 [contents] - [e4]Neha Keshan, Sebastian Neumaier, Anna Lisa Gentile, Sahar Vahdati:
Proceedings of the Posters and Demo Track of the 19th International Conference on Semantic Systems co-located with 19th International Conference on Semantic Systems (SEMANTiCS 2023), Leipzing, Germany, September 20 to 22, 2023. CEUR Workshop Proceedings 3526, CEUR-WS.org 2023 [contents] - [i17]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention Is All You Need. CoRR abs/2304.03103 (2023) - 2022
- [j12]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Mojtaba Nayyeri, Karishma Mohiuddin, M. S. T. Mahfuja Akter, Sahar Vahdati, Jens Lehmann:
Language Model Guided Knowledge Graph Embeddings. IEEE Access 10: 76008-76020 (2022) - [j11]Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stéphane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Lianlong Wu:
Data science with Vadalog: Knowledge Graphs with machine learning and reasoning in practice. Future Gener. Comput. Syst. 129: 407-422 (2022) - [c42]Adriano Vlad, Sahar Vahdati, Mojtaba Nayyeri, Luigi Bellomarini, Emanuel Sallinger:
Towards Hybrid Logic-based and Embedding-based Reasoning on Financial Knowledge Graphs. EDBT/ICDT Workshops 2022 - [c41]Mojtaba Nayyeri, Sahar Vahdati, Md Tansen Khan, Mirza Mohtashim Alam, Lisa Wenige, Andreas Behrend, Jens Lehmann:
Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion. ESWC 2022: 253-269 - [c40]Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob:
Rule Learning over Knowledge Graphs with Genetic Logic Programming. ICDE 2022: 3373-3385 - [c39]Muhammad Saleem, Adnan Akhter, Sahar Vahdati, Axel-Cyrille Ngonga Ngomo:
μ-Bench: Real-world Micro Benchmarking for SPARQL Query Processing over Knowledge Graphs. IJCKG 2022: 39-47 - [e3]Anastasia Dimou, Sebastian Neumaier, Tassilo Pellegrini, Sahar Vahdati:
Towards a Knowledge-Aware AI - SEMANTiCS 2022 - Proceedings of the 18th International Conference on Semantic Systems, 13-15 September 2022, Vienna, Austria. Studies on the Semantic Web 55, IOS Press 2022, ISBN 978-1-64368-320-1 [contents] - [i16]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Semab Ali, Jens Lehmann, Sahar Vahdati:
Language Model-driven Negative Sampling. CoRR abs/2203.04703 (2022) - [i15]Mojtaba Moattari, Sahar Vahdati, Farhana H. Zulkernine:
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. CoRR abs/2209.02390 (2022) - 2021
- [j10]Mohsen Fazeli-Varzaneh, Ali Ghorbi, Marcel Ausloos, Emanuel Sallinger, Sahar Vahdati:
Sleeping Beauties of Coronavirus Research. IEEE Access 9: 21192-21205 (2021) - [j9]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann:
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j8]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j7]Sahar Vahdati, Said Fathalla, Christoph Lange, Andreas Behrend, Aysegul Say, Zeynep Say, Sören Auer:
A comprehensive quality assessment framework for scientific events. Scientometrics 126(1): 641-682 (2021) - [j6]Arthur Lackner, Said Fathalla, Mojtaba Nayyeri, Andreas Behrend, Rainer Manthey, Sören Auer, Jens Lehmann, Sahar Vahdati:
Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade. Scientometrics 126(9): 8129-8151 (2021) - [c38]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. AAAI 2021: 9064-9072 - [c37]Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) 2021: 483-496 - [c36]Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) 2021: 9529-9548 - [c35]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN 2021: 1-8 - [c34]Patrick Westphal, Sahar Vahdati, Jens Lehmann:
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. ILP 2021: 266-281 - [c33]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) 2021: 77-89 - [e2]Emanuel Sallinger, Sahar Vahdati, Mojtaba Nayyeri, Lianlong Wu:
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020. CEUR Workshop Proceedings 3020, CEUR-WS.org 2021 [contents] - [i14]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning withLow-Dimensional Knowledge Graph Embeddings. CoRR abs/2104.05003 (2021) - [i13]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. CoRR abs/2107.03297 (2021) - 2020
- [j5]Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. IEEE Access 8: 196459-196471 (2020) - [j4]Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer:
Scholarly event characteristics in four fields of science: a metrics-based analysis. Scientometrics 123(2): 677-705 (2020) - [c32]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low Dimensional Knowledge Graph Embeddings. KR4L@ECAI 2020: 36-42 - [c31]Lianlong Wu, Emanuel Sallinger, Evgeny Sherkhonov, Sahar Vahdati, Georg Gottlob:
An Evolutionary Algorithm for Rule Learning over Knowledge Graphs. KR4L@ECAI 2020: 52-59 - [c30]Zeynep Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer:
Ontology Design for Pharmaceutical Research Outcomes. TPDL 2020: 119-132 - [c29]Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann:
Embedding-Based Recommendations on Scholarly Knowledge Graphs. ESWC 2020: 255-270 - [c28]Aysegul Say, Said Fathalla, Sahar Vahdati, Jens Lehmann, Sören Auer:
Semantic Representation of Physics Research Data. KEOD 2020: 64-75 - [c27]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann:
Let the Margin SlidE± for Knowledge Graph Embeddings via a Correntropy Objective Function. IJCNN 2020: 1-9 - [c26]Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann:
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them. ISWC (1) 2020: 438-455 - [p2]Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati:
Knowledge Graphs: The Layered Perspective. Knowledge Graphs and Big Data Processing 2020: 20-34 - [p1]Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati:
Reasoning in Knowledge Graphs: An Embeddings Spotlight. Knowledge Graphs and Big Data Processing 2020: 87-101 - [i12]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. CoRR abs/2006.04986 (2020) - [i11]Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Sahar Vahdati:
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations. CoRR abs/2010.06684 (2020)
2010 – 2019
- 2019
- [b1]Sahar Vahdati:
Collaborative Integration, Publishing and Analysis of Distributed Scholarly Metadata. University of Bonn, Germany, 2019 - [j3]Alejandra N. González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati:
Editorial: Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation). Data Sci. 2(1-2): 177-179 (2019) - [c25]Sahar Vahdati, Said Fathalla, Sören Auer, Christoph Lange, Maria-Esther Vidal:
Semantic Representation of Scientific Publications. TPDL 2019: 375-379 - [c24]Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann:
Improving Access to Science for Social Good. PKDD/ECML Workshops (1) 2019: 658-673 - [c23]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
The scientific events ontology of the OpenResearch.org curation platform. SAC 2019: 2311-2313 - [c22]Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer:
SEO: A Scientific Events Data Model. ISWC (2) 2019: 79-95 - [i10]Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi:
Soft Marginal TransE for Scholarly Knowledge Graph Completion. CoRR abs/1904.12211 (2019) - [i9]Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann:
Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function. CoRR abs/1907.05336 (2019) - 2018
- [c21]Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal:
Unveiling Scholarly Communities over Knowledge Graphs. TPDL 2018: 103-115 - [c20]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics. TPDL 2018: 116-128 - [c19]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
SemSur: A Core Ontology for the Semantic Representation of Research Findings. SEMANTiCS 2018: 151-162 - [c18]Andreas Behrend, Dieter Gawlick, Sahar Vahdati, Zhen Hua Liu:
Reasoning Under Situation Awareness in a Temporal Database. IRC 2018: 387-391 - [c17]Rebaz Omar, Sahar Vahdati, Christoph Lange, Maria-Esther Vidal, Andreas Behrend:
SAANSET: Semi-Automated Acquisition of Scholarly Metadata Using OpenResearch.org Platform. ICSC 2018: 41-48 - [c16]Andreas Behrend, Sahar Vahdati, Christoph Lange, Christiane Engels:
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. SAVE-SD@WWW 2018: 1-14 - [e1]Alejandra N. González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati:
Semantics, Analytics, Visualization - 3rd International Workshop, SAVE-SD 2017, Perth, Australia, April 3, 2017, and 4th International Workshop, SAVE-SD 2018, Lyon, France, April 24, 2018, Revised Selected Papers. Lecture Notes in Computer Science 10959, Springer 2018, ISBN 978-3-030-01378-3 [contents] - [i8]Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal:
Unveiling Scholarly Communities over Knowledge Graphs. CoRR abs/1807.06816 (2018) - 2017
- [j2]Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens:
Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge. PeerJ Comput. Sci. 3: e105 (2017) - [c15]Andreas Behrend, Diego Calvanese, Tania Cerquitelli, Silvia Chiusano, Christiane Engels, Stéphane Jean, Natalija Kozmina, Béatrice Markhoff, Oscar Romero, Sahar Vahdati:
New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops. ADBIS (Short Papers and Workshops) 2017: 111-122 - [c14]Shirin Ameri, Sahar Vahdati, Christoph Lange:
Exploiting Interlinked Research Metadata. TPDL 2017: 3-14 - [c13]Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles. TPDL 2017: 315-327 - [c12]Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer:
Analysing Scholarly Communication Metadata of Computer Science Events. TPDL 2017: 342-354 - [c11]Alejandra N. González-Beltrán, Francesco Osborne, Silvio Peroni, Sahar Vahdati:
SAVE-SD 2017: Third Workshop on Semantics, Analytics and Visualisation: Enhancing Scholarly Data. WWW (Companion Volume) 2017: 1681-1682 - [i7]Andreas Behrend, Sahar Vahdati, Christoph Lange, Christiane Engels:
Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events. CoRR abs/1711.04548 (2017) - 2016
- [j1]Behnam Ghavimi, Philipp Mayr, Christoph Lange, Sahar Vahdati, Sören Auer:
A semi-automatic approach for detecting dataset references in social science texts. Inf. Serv. Use 36(3-4): 171-187 (2016) - [c10]Sahar Vahdati:
Facilitating the Management and Analysis of Scholarly Communication Metadata. EKAW (Satellite Events) 2016: 278-285 - [c9]Sahar Vahdati, Natanael Arndt, Sören Auer, Christoph Lange:
OpenResearch: Collaborative Management of Scholarly Communication Metadata. EKAW 2016: 778-793 - [c8]Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange:
Identifying and Improving Dataset References in Social Sciences Full Texts. ELPUB 2016: 105-114 - [c7]Anastasia Dimou, Angelo Di Iorio, Christoph Lange, Sahar Vahdati:
Semantic Publishing Challenge - Assessing the Quality of Scientific Output in Its Ecosystem. SemWebEval@ESWC 2016: 243-254 - [i6]Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange:
Identifying and Improving Dataset References in Social Sciences Full Texts. CoRR abs/1603.01774 (2016) - [i5]Behnam Ghavimi, Philipp Mayr, Christoph Lange, Sahar Vahdati, Sören Auer:
A Semi-Automatic Approach for Detecting Dataset References in Social Science Texts. CoRR abs/1611.01820 (2016) - [i4]Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens:
Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge. PeerJ Prepr. 4: e2616 (2016) - 2015
- [c6]Angelo Di Iorio, Christoph Lange, Anastasia Dimou, Sahar Vahdati:
Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking. SemWebEval@ESWC 2015: 65-80 - [c5]Magnus Knuth, Dinesh Reddy, Anastasia Dimou, Sahar Vahdati, George Kastrinakis:
Towards Linked Data Update Notifications Reviewing and Generalizing the SparqlPuSH Approach. NoISE@ESWC 2015 - [c4]Sahar Vahdati, Christoph Lange, Sören Auer:
OpenCourseWare observatory: does the quality of OpenCourseWare live up to its promise? LAK 2015: 73-82 - [c3]Sahar Vahdati, Farah Karim, Jyun-Yao Huang, Christoph Lange:
Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML. MTSR 2015: 261-273 - [i3]Sahar Vahdati, Farah Karim, Jyun-Yao Huang, Christoph Lange:
Mapping Large Scale Research Metadata to Linked Data: A Performance Comparison of HBase, CSV and XML. CoRR abs/1506.04006 (2015) - [i2]Angelo Di Iorio, Christoph Lange, Anastasia Dimou, Sahar Vahdati:
Semantic Publishing Challenge - Assessing the Quality of Scientific Output by Information Extraction and Interlinking. CoRR abs/1508.06206 (2015) - 2014
- [c2]Sahar Vahdati, Andreas Behrend, Christoph Lange:
Identifying research schools using enriched bibliographical metadata. I-KNOW 2014: 39:1-39:4 - [c1]Sahar Vahdati, Andreas Behrend, Gereon Schüller, Rainer Manthey:
A Flexible System for a Comprehensive Analysis of Bibliographical Data. WEBIST (1) 2014: 143-151 - [i1]Sahar Vahdati, Christoph Lange, Sören Auer:
OpenCourseWare Observatory - Does the Quality of OpenCourseWare Live up to its Promise? CoRR abs/1410.5694 (2014)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-11-17 23:04 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
