Publikationen der Fachgebiet Scientific Data Management

Philipp D. Rohde, Enrique Iglesias, Maria-Esther Vidal (2024): FedORKG: Accessing Federations of Open Research Knowledge Graphs,  Proceedings of the 1. NFDI4Energy Conference
DOI: https://doi.org/10.5281/zenodo.10591442

Philipp D. Rohde, Ahmad Sakor, Mauricio Brunet, Enrique Iglesias, Mazen Bechara, Susanne Arndt, Mathias Begoin, Angelina Kraft, Maria-Esther Vidal (2024): The Leibniz Data Manager: Supporting Researchers in the Lifecycle of Research Data,  Proceedings of the 1. NFDI4Energy Conference
DOI: https://doi.org/10.5281/zenodo.10610501

José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor Vargas, María Teresa García-Ordás (2024): Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.,  CoRR
DOI: https://doi.org/10.48550/arXiv.2402.05571

Mohamed Sellami, Maria-Esther Vidal, Boudewijn F. van Dongen, Walid Gaaloul, Hervé Panetto (2024): Cooperative Information Systems - 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023, Proceedings.,  Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-46846-9

Philipp D. Rohde, Enrique Iglesias, Maria-Esther Vidal (2023): SHACL-ACL: Access Control with SHACL,  The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023, pp. 22-26
DOI: https://doi.org/10.1007/978-3-031-43458-7_4

Disha Purohit (2023): Semantic and Efficient Symbolic Learning over Knowledge Graphs,  The Semantic Web: ESWC 2023 Satellite Events, pp. 244-254
DOI: https://doi.org/10.1007/978-3-031-43458-7_43

Disha Purohit. Maria-Esther Vidal (2023): Mining Symbolic Rules To Explain Lung Cancer Treatments,  The Semantic Web: ESWC 2023 Satellite Events, pp. 69-74
DOI: https://doi.org/10.1007/978-3-031-43458-7_13

Yashrajsinh Chudasama, Disha Purohit, Philipp D. Rohde, Julian Gercke, Maria-Esther Vidal (2023): InterpretME: A Tool for Interpretations of Machine Learning Models Over Knowledge Graphs,  Semantic Web Journal in the Special Issue of Tools/System Report Weitere Informationen

Yashrajsinh Chudasama, Disha Purohit, Philipp D. Rohde, Maria-Esther Vidal (2023): Enhancing Interpretability of Machine Learning Models over Knowledge Graphs Weitere Informationen

Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal (2023): SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning,  Proceedings of the 12th Knowledge Capture Conference, pp 44-55, K-CAP '23.
DOI: https://doi.org/10.1145/3587259.3627547

Enrique Iglesias, Maria-Esther Vidal, Diego Collarana Vargas, David Chaves-Fraga (2023): Empowering the SDM-RDFizer Tool for Scaling Up to Complex Knowledge Graph Creation Pipelines,  Semantic Web Journal Weitere Informationen

Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal (2023): Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination,  CoRR
DOI: https://doi.org/10.48550/arXiv.2310.19503

Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng (2023): Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB, 2023),  CEUR Workshop Proceedings Weitere Informationen

Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Damien Graux, Fabrizio Orlandi, Emetis Niazmand, Gabriela Ydler, Maria-Esther Vidal (2023): Joint Proceedings of the QuWeDa and MEPDaW 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web,  CEUR Workshop Proceedings Weitere Informationen

John Domingue, Aisling Third, Maria-Esther Vidal, Philipp D. Rohde, Juan Cano, Andrea Cimmino, Ruben Verborgh (2023): Trusting Decentralised Knowledge Graphs and Web Data at the Web Conference,  WWW (Companion Volume) 2023, pp. 1422-1423.
DOI: https://doi.org/10.1145/3543873.3589756

Cinzia Cappiello, Sandra Geisler, Maria-Esther Vidal (2023): Preface DEco,  VLDB Workshops 2023, CEUR Workshop Proceedings Weitere Informationen

Shahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal (2023): Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact.,  K-CAP '23. Proceedings of the 12th Knowledge Capture Conference, pp. 241-249
DOI: https://doi.org/10.1145/3587259.3627558

Maria-Esther Vidal (2023): Can Knowledge Graphs Contribute to Personalized Therapies?,  Proceedings of the 6th Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics, ESWC 2023. Weitere Informationen

Emetis Niazmand, Maria-Esther Vidal (2023): SAP-KG: Synonym Predicate Analyzer Across Multiple Knowledge Graphs,  The Semantic Web Satellite Events, ESWC 2023.
DOI: https://doi.org/10.1007/978-3-031-43458-7_9

Enrique Iglesias, Maria-Esther Vidal (2023): Knowledge Graph Creation Challenge: Results for SDM-RDFizer.,  Proceedings of the 4th International Workshop on Knowledge Graph Construction co-located with 20th Extended Semantic Web Conference, ESWC 2023. Weitere Informationen

Dušan Popadić, Enrique Iglesias, Ahmad Sakor, Valentina Janev, Maria-Esther Vidal (2023): Toward a Solution for an Energy Knowledge Graph. pp 3–12.,  Springer, Singapore
DOI: https://doi.org/10.1007/978-981-19-7126-6_1
ISBN: 978-981-19-7125-9

Maria-Esther Vidal, Emetis Niazmand, Philipp D. Rohde, Enrique Iglesias, Ahmad Sakor (2023): Challenges for Healthcare Data Analytics Over Knowledge Graphs,  Trans. Large Scale Data Knowl. Centered Syst.
DOI: https://doi.org/10.1007/978-3-662-68014-8_4

José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal (2023): Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts,  Semantic Web, pp. 873--892
DOI: https://doi.org/10.3233/SW-223269

Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal (2023): Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources.,  Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction.
DOI: https://doi.org/10.48550/arXiv.2201.09694
arXiv: https://arxiv.org/abs/2201.09694

Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Kostantinos Bougiatiotis, Fotis Aisoposc, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal (2023): Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analyzing Treatments' Toxicities,  Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction.
DOI: https://doi.org/10.1016/j.websem.2022.100760

Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodriguez Gonzalez, Guillermo Vigueras, Daniel Gomez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal (2023): Knowledge graphs for enhancing transparency in health data ecosystems. 943–976,  Semantic Web 14 Weitere Informationen

Philipp D. Rohde, Maria-Esther Vidal (2023): Towards Certified Distributed Query Processing,  ESWC 2023 Workshops and Tutorials Joint Proceedings Weitere Informationen

Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, Maria-Esther Vidal. (2022): EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines.,  SAC 2022.
arXiv: https://arxiv.org/pdf/2112.07493.pdf

Georgios Katsimpras, Fotis Aisopos, Peter Garrard, Maria-Esther Vidal, Georgios Paliouras. (2022): Improving Early Prognosis of Dementia using Machine Learning Methods. pp 1–16.,  ACM.
DOI: https://doi.org/10.1145/3502433

Emetis Niazmand, Maria-Esther Vidal. (2022): Enhancing Query Answer Completeness with Query Expansion based on Synonym Predicates. pp 354–358,  WWW 22.
DOI: https://doi.org/10.1145/3487553.3524198

Emetis Niazmand, Gezim Sejdiuc, Damien Graux, Maria-Esther Vidal (2022): Efficient Semantic Summary Graph for Querying Large Knowledge Graphs.,  Journal of Information Management Data Insights.
DOI: https://doi.org/10.1016/j.jjimei.2022.100082

Dušan Popadić, Enrique Iglesias, Ahmad Sakor, Valentina Janev, Maria-Esther Vidal. (2022): Towards a Solution for an Energy Knowledge Graph.,  ISIC 2022. Weitere Informationen

Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard, George Paliouras (2022): Identifying the Presence and Severity of Dementia by Applying Interpretable Machine Learning Techniques on Structured Clinical Records,  BMC Medical Informatics and Decision Making
DOI: https://doi.org/10.21203/rs.3.rs-336921/v1

Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal (2022): Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources,  Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction
DOI: https://doi.org/10.48550/arXiv.2201.09694
arXiv: https://arxiv.org/abs/2201.09694

Hao Huang (2022): Causal Relationship over Knowledge Graphs. pp 5116–5119,  CIKM '22
DOI: https://doi.org/10.1145/3511808.3557818

Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Kostantinos Bougiatiotis, Fotis Aisoposc, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal (2022): Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities,  Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction.
DOI: https://doi.org/10.1016/j.websem.2022.100760

Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal (2022): Resorting to Context-aware Background Knowledge for Unveiling Semantically Related Posts. pp. 115351-115371,  IEEE Access.
DOI: https://doi.org/10.1109/ACCESS.2022.3217492

Ariam Rivas, Diego Collarana, Maria Torrente, Maria-Esther Vidal (2022): A Neuro-Symbolic System over Knowledge Graphs for Link Prediction,  Semantic Web Journal in the Special Issue of Neuro-Symbolic Systems. Weitere Informationen

Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal (2021): Trav-SHACL: Efficiently Validating Networks of SHACL Constraints,  WWW 2021.
DOI: https://doi.org/10.48550/arXiv.2101.07136
arXiv: https://arxiv.org/abs/2101.07136v1

Irlán Grangel-González, Maria Esther Vidal (2021): Analyzing a Knowledge Graph of Industry 4.0 Standards,  WWW (Companion Volume) 2021.
DOI: https://doi.org/10.1145/3442442.3453542

Valentina Janev, Maria Esther Vidal, Kemele Endris, Dea Pujiic (2021): Managing Knowledge in Energy Data Spaces,  WWW (Companion Volume) 2021.
DOI: https://doi.org/10.1145/3442442.3453541

Maria-Esther Vidal, Mayra Russo, Philipp D. Rohde (2021): Datenschutzfragen in Big Data der Biomedizin. pp 571-588,  Künstliche Intelligenz – Recht und Praxis automatisierter und autonomer Systeme.

Ariam Rivas, Irlan Grangel-Gonzalez, Diego Collarana, Jens Lehmann, Maria-Esther Vidal (2021): Discover Relations in the Industry 4.0 Standards via Unsupervised Learning on Knowledge Graph Embeddings,  Journal of Data Intelligence. Weitere Informationen
ISSN: 2577-610X

Philipp D. Rohde (2021): SHACL Constraint Validation during SPARQL Query Processing,  VLDB 2021 PhD Workshop.
DOI: https://doi.org/10.34657/6843

Sandra Geisler, Maria-Esther Vidal, Cinzia Cappiello, Bernadette Farias Lóscio, Avigdor Gal, Matthias Jarke, Maurizio Lenzerini, Paolo Missier, Boris Otto, Elda Paja, Barbara Pernici, Jakob Rehof (2021): Knowledge-driven Data Ecosystems Towards Data Transparency,  JDIQ 2021.
DOI: https://doi.org/10.48550/arXiv.2105.09312

Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard, George Paliouras (2021): Calibrating Mini-Mental State Examination Scores to Predict Misdiagnosed Dementia Patients,  MDPI.
DOI: https://doi.org/10.3390/app11178055

Ariam Rivas, Maria-Esther Vidal (2021): Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. pp 33-40,  K-CAP 2021.
DOI: https://doi.org/10.1145/3460210.3493560

Valentina Janev, Dušan Popadić, Dea Pujić, Maria Esther Vidal, Kemele Endris (2021): Reuse of Semantic Models for Emerging Smart Grids Applications,  ICIST Conference 2021.
DOI: https://doi.org/10.48550/arXiv.2107.06999

Fathoni A.Musyaffa, Maria-Esther Vidal, Fabrizio Orland, Jens Lehmann, Hajira Jabeen (2020): IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA. Expert Systems with Applications,  IOTA, Volume 147, 113135.
DOI: https://doi.org/10.1016/j.eswa.2019.113135

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernandez, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab (2020): Bias in Data-driven AI Systems - An Introductory Survey,  Journal WIREs Data Mining and Knowledge Discovery.
DOI: https://doi.org/10.1002/widm.1356

Farah Karim, Maria-Esther Vidal, Sören Auer (2020): Compacting Frequent Star Patterns in RDF Graphs,  Journal of Intelligent Information Systems.
DOI: https://doi.org/10.48550/arXiv.2003.05238

Ingo R. Keck, Maria-Esther Vidal, Lambert Heller (2020): Digital Transformation of Education Credential Processes and Life Cycles -- A Structured Overview on Main Challenges and Research Questions,  eLmL 2020. Weitere Informationen
ISBN: 978-1-61208-764-1
ISSN: 2308-4367

Philipp D. Rohde, Maria-Esther Vidal (2020): Optimizing Federated Queries Based on the Physical Design of a Data Lake,  EDBT/ICDT 2020 Workshops. Weitere Informationen

Sebastian Bader, Irlan Grangel-González, Priyanka Nanjappa, Maria-Esther Vidal, Maria Maleshkova (2020): A Knowledge Graph for Industry 4.0,  ESWC 2020. Weitere Informationen

Claus Hoffmann, Maria-Esther Vidal (2020): Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents,  ICWE 2020.
DOI: https://doi.org/10.1007/978-3-030-50578-3_19

Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal (2020): Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings,  DEXA2020.
DOI: https://doi.org/10.48550/arXiv.2006.04556

Ahmad Sakor, Anery Patel, Kuldeep Singh, Maria-Esther Vidal (2020): Falcon 2.0: An Entity and Relation Linking Tool over Wikidata,  CIKM 2020
DOI: https://doi.org/10.1145/3340531.3412777

Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria Esther Vidal (2020): SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs,  CIKM 2020.
DOI: https://doi.org/10.1145/3340531.3412881

Kuldeep Singha, Ioanna Lytraa, ∗, Arun Sethupat Radhakrishnab, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann (2020): No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph,  J. Web Semant., Volume 65.
DOI: https://doi.org/10.1016/j.websem.2020.100594

Isaiah Onando Mulang', Kuldeep Singh, Akhilesh Vyas, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann, Sören Auer (2020): Encoding Knowledge Graph Entity Aliases in an Attentive Neural Networks for Wikidata Entity Linking,  WISE 2020.
DOI: https://doi.org/10.1007/978-3-030-62005-9_24

Kemele M. Endris, Maria-Esther Vidal, Damien Graux (2020): Knowledge Graphs and Big Data Processing Chapter 5 Federated Query Processing. pp 73–86,  Janev, V., Graux, D., Jabeen, H., Sallinger, E. (eds) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science(), vol 12072
DOI: https://doi.org/10.1007/978-3-030-53199-7_5
ISBN: 978-3-030-53198-0

Mayesha Tasnim, Diego Collarana, Damien Graux, Maria-Esther Vidal (2020): Knowledge Graphs and Big Data Processing Chapter 8 Context-Based Entity Matching for Big Data,  Janev, V., Graux, D., Jabeen, H., Sallinger, E. (eds) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science(), vol 12072.
DOI: https://doi.org/10.1007/978-3-030-53199-7_8
ISBN: 978-3-030-53198-0

Valentina Janev, Dea Pujić, Marko Jelić, Maria-Esther Vidal (2020): Knowledge Graphs and Big Data Processing Chapter 9 Survey on Big Data Applications,  Janev, V., Graux, D., Jabeen, H., Sallinger, E. (eds) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science(), vol 12072.
DOI: https://doi.org/10.1007/978-3-030-53199-7_9
ISBN: 978-3-030-53198-0

Eirinia Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Karimi, Fariba Karimi, Miriam Fernandez, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab (2020): Bias in data-driven artificial intelligence systems—An introductory survey,  Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.
DOI: https://doi.org/10.1002/widm.1356

Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias, María-Esther Vidal, Oscar Corcho (2020): FunMap: Efficient Execution of Functional Mappings for Scaled-Up Knowledge Graph Creation,  ISWC 2020.
DOI: https://doi.org/10.1007/978-3-030-62419-4_16

Mayesha Tasnim, Diego Collarana, Damien Graux, Fabrizio Orlandi, Maria-Esther Vidal (2019): Summarizing Entity Temporal Evolution in Knowledge Graphs,  WWW (Companion Volume) 2019.
DOI: https://doi.org/10.1145/3308560.3316521

Maribel Acosta, Tim Berners-Lee, Anastasia Dimou, John Domingue, Luis-Daniel Ibá, Krzysztof Janowicz, Maria-Esther Vidal, Amrapali Zaveri (2019): The FAIR TRADE Framework for Assessing Decentralised Data Solutions. pp. 823-839,  WWW (Companion Volume) 2019.
DOI: https://doi.org/10.1145/3308560.3317072

Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal (2019): FALCON: An Entity and Relation Linking Framework over DBpedia. pp. 823-839,  WWW (Companion Volume) 2019.
DOI: https://doi.org/10.15488/9827

David Chaves-Fraga, Kemele M. Endris, Enrique Iglesias, Óscar Corcho, Maria-Esther Vidal (2019): What Are the Parameters that Affect the Construction of a Knowledge Graph? pp. 695-713,  OTM Conferences 2019.
DOI: https://doi.org/10.1007/978-3-030-33246-4_43

Samaneh Jozashoori, Maria-Esther Vidal (2019): MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation. pp. 58-75,  OTM Conferences 2019.
DOI: https://doi.org/10.48550/arXiv.1909.01032

Ahmad Sakor, Isaiah Onando Mulang, Kuldeep Singh, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann, Sören Auer (2019): Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text. pp. 2336-2346.,  NAACL-HLT (1) 2019.
DOI: http://dx.doi.org/10.18653/v1/N19-1243

Lucie-Aimée Kaffee, Kemele M. Endris, Elena Simperl, Maria-Esther Vidal (2019): Ranking Knowledge Graphs By Capturing Knowledge about Languages and Labels. pp. 21-28,  K-CAP 2019.
DOI: https://doi.org/10.1145/3360901.3364443

Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings. (2019): Awais Manzoor Bajwa, Diego Collarana, Maria-Esther Vidal,  SEMANTiCS 2019
DOI: https://doi.org/10.1007/978-3-030-33220-4_18

Sahar Vahdati, Said Fathalla, Sören Auer, Christoph Lange, Maria-Esther Vidal (2019): Semantic Representation of Scientific Publications. pp. 375-379.,  TPDL 2019.
DOI: https://doi.org/10.1007/978-3-030-30760-8_37

Kemele M. Endris, Philipp D. Rohde, Maria-Esther Vidal, Sören Auer (2019): Ontario: Federated Query Processing Against a Semantic Data Lake,  DEXA (1) 2019.
DOI: https://doi.org/10.1007/978-3-030-27615-7_29

Marlene Goncalves, Maria-Esther Vidal, Kemele M. Endris (2019): PURE: A Privacy Aware Rule-Based Framework over Knowledge Graphs,  DEXA (1) 2019
DOI: https://doi.org/10.1007/978-3-030-27615-7_15

Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal (2019): COMET: A Contextualized Molecule-Based Matching Technique,  DEXA (1) 2019
DOI: https://doi.org/10.1007/978-3-030-27615-7_13

Maria-Esther Vidal, Samaneh Jozashoori, Ahmad Sakor (2019): Semantic Data Integration Techniques for Transforming Big Biomedical Data into Actionable Knowledge,  CBMS 2019.
DOI: https://doi.org/10.1109/CBMS.2019.00116

Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougiatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodríguez González, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia, George Paliouras (2019): iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine,  CBMS 2019.
DOI: https://doi.org/10.1109/CBMS.2019.00032

Jeremy Debattista, Javier D. Fernández, Maria-Esther Vidal, Jürgen Umbrich (2019): Managing the evolution and preservation of the data web,  J. Web Semantics.
DOI: https://doi.org/10.1016/j.websem.2018.12.011

Johannes Frey, Kay Müller, Sebastian Hellmann, Erhard Rahm, Maria-Esther Vidal (2019): Evaluation of metadata representations in RDF stores,  Semantic Web 10(2).
DOI: http://dx.doi.org/10.3233/SW-180307

Maria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas (2019): Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case,  Datenbank-Spektrum 19(2).
DOI: https://doi.org/10.1007/s13222-019-00312-z

Maria-Esther Vidal, Kemele M. Endris, Farah Karim, Samaneh Jozashoori, Guillermo Palma (2019): Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicine,  CURRENT TRENDS IN SEMANTIC WEB TECHNOLOGIES: THEORY AND PRACTICE.
DOI: http://dx.doi.org/10.1007/978-3-030-06149-4_2

Lucie-Aimée Kaffee, Kemele M. Endris, Elena Simperl (2019): When humans and machines collaborate: cross-lingual label editing in wikidata,  OpenSym 2019.
DOI: http://dx.doi.org/10.1145/3306446.3340826

Jeremy Debattista, Javier D. Fernández, Maria-Esther Vidal, Jürgen Umbrich (2019): Managing the evolution and preservation of the data web,  Journal of Web Semantics.
DOI: https://doi.org/10.1016/j.websem.2018.12.011

Lucie-Aimee Kaffee, Kemele Endris, Maria-Esther Vidal, Marco Comeri, Mersedehe Sadeghi, David Chaves-Fraga, Pieter Colpaert (2019): Preface,  CEUR Workshop Proceedings. Weitere Informationen