Publikationen der Fachgebiet Scientific Data Management

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

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