Publikationen der Fachgebiet Scientific Data Management

Internationale Journale, Konferenzen und Workshops (peer-reviewed), sowie Monographie

Publikationen 2023

  • 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' ToxicitiesJournal 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. 943–976Semantic Web 14 Weitere Informationen
  • Philipp D. Rohde, Maria-Esther Vidal (2023): Towards Certified Distributed Query ProcessingESWC 2023 Workshops and Tutorials Joint Proceedings Weitere Informationen

Publikationen 2022

  • 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 354–358WWW 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 RecordsBMC 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 SourcesJournal 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 5116–5119CIKM '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’ toxicitiesJournal 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. 115351-115371IEEE 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 PredictionSemantic Web Journal in the Special Issue of Neuro-Symbolic Systems. Weitere Informationen

Publikationen 2021

  • Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal (2021): Trav-SHACL: Efficiently Validating Networks of SHACL ConstraintsWWW 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 StandardsWWW (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 SpacesWWW (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 571-588Künstliche 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 EmbeddingsJournal of Data Intelligence. Weitere Informationen
    ISSN: 2577-610X
  • Philipp D. Rohde (2021): SHACL Constraint Validation during SPARQL Query ProcessingVLDB 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 TransparencyJDIQ 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 PatientsMDPI.
    DOI: https://doi.org/10.3390/app11178055
  • Ariam Rivas, Maria-Esther Vidal (2021): Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. pp 33-40K-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 ApplicationsICIST Conference 2021.
    DOI: https://doi.org/10.48550/arXiv.2107.06999

Publikationen 2020

  • Fathoni A.Musyaffa, Maria-Esther Vidal, Fabrizio Orland, Jens Lehmann, Hajira Jabeen (2020): IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA. Expert Systems with ApplicationsIOTA, 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 SurveyJournal 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 GraphsJournal 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 QuestionseLmL 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 LakeEDBT/ICDT 2020 Workshops. Weitere Informationen
  • Sebastian Bader, Irlan Grangel-González, Priyanka Nanjappa, Maria-Esther Vidal, Maria Maleshkova (2020): A Knowledge Graph for Industry 4.0ESWC 2020. Weitere Informationen
  • Claus Hoffmann, Maria-Esther Vidal (2020): Creating and Capturing Artificial Emotions in Autonomous Robots and Software AgentsICWE 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 EmbeddingsDEXA2020.
    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 WikidataCIKM 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 GraphsCIKM 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 GraphJ. 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 LinkingWISE 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 73–86Janev, 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 DataJanev, 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 ApplicationsJanev, 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 surveyWiley 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 CreationISWC 2020.
    DOI: https://doi.org/10.1007/978-3-030-62419-4_16

Publikationen 2019

  • Mayesha Tasnim, Diego Collarana, Damien Graux, Fabrizio Orlandi, Maria-Esther Vidal (2019): Summarizing Entity Temporal Evolution in Knowledge GraphsWWW (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. 823-839WWW (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. 823-839WWW (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. 695-713OTM 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. 58-75OTM 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. 21-28K-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 VidalSEMANTiCS 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 LakeDEXA (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 GraphsDEXA (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 TechniqueDEXA (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 KnowledgeCBMS 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 MedicineCBMS 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 webJ. 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 storesSemantic 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 CaseDatenbank-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 MedicineCURRENT 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 wikidataOpenSym 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 webJournal 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): PrefaceCEUR Workshop Proceedings. Weitere Informationen