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ORCIDMaria-Esther Vidal
Person information
- affiliation: TIB Leibniz Information Centre for Science and Technology, Hannover, Germany
- affiliation: Universidad Simón Bolívar, Caracas, Venezuela
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2020 – today
- 2024
[j43]Hao Huang
, Maria-Esther Vidal:
CauseKG: A Framework Enhancing Causal Inference With Implicit Knowledge Deduced From Knowledge Graphs. IEEE Access 12: 61810-61827 (2024)- [j42]Mayra Russo, Yasharajsinh Chudasama, Disha Purohit, Sammy Sawischa, Maria-Esther Vidal:
Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines. IEEE Access 12: 96821-96847 (2024) - [j41]Antonio Jesús Díaz-Honrubia, Philipp D. Rohde, Emetis Niazmand, Ernestina Menasalvas, Maria-Esther Vidal:
PALADIN: A process-based constraint language for data validation. Inf. Fusion 112: 102557 (2024) - [j40]Edelmira Pasarella, Maria-Esther Vidal, Cristina Zoltan, Juan Pablo Royo Sales:
A computational framework based on the dynamic pipeline approach. J. Log. Algebraic Methods Program. 139: 100966 (2024) - [j39]Ansgar Scherp, Gerd Gröner, Petr Skoda, Katja Hose, Maria-Esther Vidal:
Semantic Web: Past, Present, and Future. TGDK 2(1): 3:1-3:37 (2024) - [c196]Lorena Pujante-Otalora, Manuel Campos, Jose M. Juarez, Maria-Esther Vidal:
Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections. BIOSTEC (2) 2024: 23-36 - [c195]Emetis Niazmand, Maria-Esther Vidal:
Discovering Relationships Among Properties in Wikidata Knowledge Graph. DaWaK 2024: 388-394 - [c194]Emetis Niazmand, Maria-Esther Vidal:
Completing Predicates Based on Alignment Rules from Knowledge Graphs. DEXA (1) 2024: 59-74 - [c193]Enrique Antonio Iglesias, Maria-Esther Vidal:
Results for Knowledge Graph Creation Challenge 2024: SDM-RDFizer. KGCW@ESWC 2024 - [c192]Mayra Russo, Sammy Fabian Sawischa, Maria-Esther Vidal:
Tracing the Impact of Bias in Link Prediction. SAC 2024: 1626-1633 - [c191]Enrique Iglesias, Maria-Esther Vidal:
KGSaw: One Size Does Not Fit All- Planning Methods for Data Fragmentation for Efficiently Creating Knowledge Graphs. SAC 2024: 1668-1670 - [e23]Mohamed Sellami, Maria-Esther Vidal, Boudewijn F. van Dongen, Walid Gaaloul, Hervé Panetto:
Cooperative Information Systems - 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023, Proceedings. Lecture Notes in Computer Science 14353, Springer 2024, ISBN 978-3-031-46845-2 [contents] - [i41]José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal:
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. CoRR abs/2402.05536 (2024) - [i40]José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor Vargas, María Teresa García-Ordás:
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 abs/2402.05571 (2024) - [i39]Mayra Russo, Maria-Esther Vidal:
Leveraging Ontologies to Document Bias in Data. CoRR abs/2407.00509 (2024) - [i38]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:
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CoRR abs/2407.06748 (2024) - [i37]Miriam Fahimi, Mayra Russo, Kristen M. Scott, Maria-Esther Vidal, Bettina Berendt, Katharina Kinder-Kurlanda:
Articulation Work and Tinkering for Fairness in Machine Learning. CoRR abs/2407.16496 (2024) - [i36]David Chaves-Fraga, Óscar Corcho, Anastasia Dimou, Maria-Esther Vidal, Ana Iglesias-Molina, Dylan Van Assche:
Are Knowledge Graphs Ready for the Real World? Challenges and Perspective (Dagstuhl Seminar 24061). Dagstuhl Reports 14(2): 1-70 (2024) - 2023
- [j38]José Alberto Benítez-Andrades, María Teresa García-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, Maria-Esther Vidal:
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 14(5): 873-892 (2023) - [j37]Fotis Aisopos, Samaneh Jozashoori, Emetis Niazmand, Disha Purohit, Ariam Rivas, Ahmad Sakor, Enrique Iglesias, Dimitrios Vogiatzis, Ernestina Menasalvas, Alejandro Rodríguez González, Guillermo Vigueras, Daniel Gómez-Bravo, Maria Torrente, Roberto Hernández López, Mariano Provencio Pulla, Athanasios Dalianis, Anna Triantafillou, Georgios Paliouras, Maria-Esther Vidal:
Knowledge graphs for enhancing transparency in health data ecosystems. Semantic Web 14(5): 943-976 (2023) - [j36]Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal:
Trust, Accountability, and Autonomy in Knowledge Graph-Based AI for Self-Determination. TGDK 1(1): 9:1-9:32 (2023) - [j35]Maria-Esther Vidal, Emetis Niazmand, Philipp D. Rohde, Enrique Iglesias, Ahmad Sakor:
Challenges for Healthcare Data Analytics Over Knowledge Graphs. Trans. Large Scale Data Knowl. Centered Syst. 54: 89-118 (2023) - [j34]Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal:
Scaling up knowledge graph creation to large and heterogeneous data sources. J. Web Semant. 75: 100755 (2023) - [j33]Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Konstantinos Bougiatiotis, Fotis Aisopos, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal:
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities. J. Web Semant. 75: 100760 (2023) - [c190]Enrique Iglesias, Maria-Esther Vidal:
Knowledge Graph Creation Challenge: Results for SDM-RDFizer. KGCW@ESWC 2023 - [c189]Philipp D. Rohde, Enrique Iglesias, Maria-Esther Vidal:
SHACL-ACL: Access Control with SHACL. ESWC (Satellite Events) 2023: 22-26 - [c188]Emetis Niazmand, Maria-Esther Vidal:
SAP-KG: Synonym Predicate Analyzer Across Multiple Knowledge Graphs. ESWC (Satellite Events) 2023: 48-53 - [c187]Disha Purohit, Maria-Esther Vidal:
Mining Symbolic Rules to Explain Lung Cancer Treatments. ESWC (Satellite Events) 2023: 69-74 - [c186]Philipp D. Rohde, Maria-Esther Vidal:
Towards Certified Distributed Query Processing. ESWC Workshops 2023 - [c185]Maria-Esther Vidal:
Can Knowledge Graphs Contribute to Personalized Therapies? SeWeBMeDA@ESWC 2023 - [c184]Yashrajsinh Chudasama, Disha Purohit, Philipp D. Rohde, Maria-Esther Vidal:
Enhancing Interpretability of Machine Learning Models over Knowledge Graphs. SEMANTiCS (Posters & Demos) 2023 - [c183]Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal:
SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning. K-CAP 2023: 44-52 - [c182]Shahi Dost, Ariam Rivas, Hanan Begali, Annett Ziegler, Elimira Aliabadi, Markus Cornberg, Anke Rm Kraft, Maria-Esther Vidal:
Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact. K-CAP 2023: 241-249 - [c181]Cinzia Cappiello, Sandra Geisler, Maria-Esther Vidal:
Preface DEco. VLDB Workshops 2023 - [c180]John Domingue, Aisling Third, Maria-Esther Vidal, Philipp D. Rohde, Juan Cano, Andrea Cimmino, Ruben Verborgh:
Trusting Decentralised Knowledge Graphs and Web Data at the Web Conference. WWW (Companion Volume) 2023: 1422-1423 - [e22]Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Damien Graux, Fabrizio Orlandi, Emetis Niazmand, Gabriela Ydler, Maria-Esther Vidal:
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 co-located with 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, 6-10 November 2023. CEUR Workshop Proceedings 3565, CEUR-WS.org 2023 [contents] - [e21]Damien Graux, Fabrizio Orlandi, Emetis Niazmand, Gabriela Ydler, Maria-Esther Vidal:
Proceedings of the 8th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 21st International Semantic Web Conference (ISWC 2022), Virtual event, October 23rd, 2022. CEUR Workshop Proceedings 3339, CEUR-WS.org 2023 [contents] - [e20]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:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - [i35]Luis-Daniel Ibáñez, John Domingue, Sabrina Kirrane, Oshani Seneviratne, Aisling Third, Maria-Esther Vidal:
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination. CoRR abs/2310.19503 (2023) - 2022
- [j32]Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal:
Resorting to Context-Aware Background Knowledge for Unveiling Semantically Related Social Media Posts. IEEE Access 10: 115351-115371 (2022) - [j31]Georgios Katsimpras, Fotis Aisopos, Peter Garrard, Maria-Esther Vidal, Georgios Paliouras:
Improving Early Prognosis of Dementia Using Machine Learning Methods. ACM Trans. Comput. Heal. 3(3): 30:1-30:16 (2022) - [j30]Emetis Niazmand, Gezim Sejdiu, Damien Graux, Maria-Esther Vidal:
Efficient semantic summary graphs for querying large knowledge graphs. Int. J. Inf. Manag. Data Insights 2(1): 100082 (2022) - [j29]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:
Knowledge-Driven Data Ecosystems Toward Data Transparency. ACM J. Data Inf. Qual. 14(1): 3:1-3:12 (2022) - [j28]Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, Peter Garrard, Georgios Paliouras:
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records. BMC Medical Informatics Decis. Mak. 22(1): 271 (2022) - [c179]Anna Beer, Mauricio Brunet, Vibhav Srivastava, Maria-Esther Vidal:
Leibniz Data Manager - A Research Data Management System. ESWC (Satellite Events) 2022: 73-77 - [c178]Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, Maria-Esther Vidal:
EABlock: a declarative entity alignment block for knowledge graph creation pipelines. SAC 2022: 1908-1916 - [e19]Paul Groth, Maria-Esther Vidal, Fabian M. Suchanek, Pedro A. Szekely, Pavan Kapanipathi, Catia Pesquita, Hala Skaf-Molli, Minna Tamper:
The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings. Lecture Notes in Computer Science 13261, Springer 2022, ISBN 978-3-031-06980-2 [contents] - [e18]Fabrizio Orlandi, Damien Graux, Júlio Cesar dos Reis, Maria-Esther Vidal:
Proceedings of the 7th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual event, October 25th, 2021. CEUR Workshop Proceedings 3225, CEUR-WS.org 2022 [contents] - [e17]Cinzia Cappiello, Sandra Geisler, Maria-Esther Vidal:
Proceedings of the First International Workshop on Data Ecosystems co-located with 48th International Conference on Very Large Databases (VLDB 2022), Sydney, Australia, September 5, 2022. CEUR Workshop Proceedings 3306, CEUR-WS.org 2022 [contents] - [i34]Enrique Iglesias, Samaneh Jozashoori, Maria-Esther Vidal:
Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources. CoRR abs/2201.09694 (2022) - [i33]Emetis Niazmand, Gezim Sejdiu, Damien Graux, Maria-Esther Vidal:
Efficient Semantic Summary Graphs for Querying Large Knowledge Graphs. CoRR abs/2205.13883 (2022) - [i32]Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand, Ariam Rivas, Konstantinos Bougiatiotis, Fotis Aisopos, Enrique Iglesias, Philipp D. Rohde, Trupti Padiya, Anastasia Krithara, Georgios Paliouras, Maria-Esther Vidal:
Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities. CoRR abs/2206.07375 (2022) - [i31]Samaneh Jozashoori, Enrique Iglesias, Maria-Esther Vidal:
Dragoman: Efficiently Evaluating Declarative Mapping Languages over Frameworks for Knowledge Graph Creation. CoRR abs/2210.15645 (2022) - 2021
- [j27]Farah Karim, Maria-Esther Vidal, Sören Auer:
Compact representations for efficient storage of semantic sensor data. J. Intell. Inf. Syst. 57(2): 203-228 (2021) - [j26]Claus Hoffmann, Pascal Linden, Maria-Esther Vidal:
Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents. J. Web Eng. 20(4): 933-970 (2021) - [j25]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings. J. Data Intell. 2(3): 326-347 (2021) - [j24]David Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna, Maria-Esther Vidal, Óscar Corcho:
Enhancing virtual ontology based access over tabular data with Morph-CSV. Semantic Web 12(6): 869-902 (2021) - [c177]Ariam Rivas, Maria-Esther Vidal:
Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. K-CAP 2021: 33-40 - [c176]Valentina Janev, Maria-Esther Vidal, Kemele M. Endris, Dea Pujic:
Managing Knowledge in Energy Data Spaces. WWW (Companion Volume) 2021: 7-15 - [c175]Irlán Grangel-González, Maria-Esther Vidal:
Analyzing a Knowledge Graph of Industry 4.0 Standards. WWW (Companion Volume) 2021: 16-25 - [c174]Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal:
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints. WWW 2021: 3337-3348 - [i30]Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal:
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints. CoRR abs/2101.07136 (2021) - [i29]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:
Knowledge-driven Data Ecosystems Towards Data Transparency. CoRR abs/2105.09312 (2021) - [i28]Irlán Grangel-González, Maria-Esther Vidal:
Analyzing a Knowledge Graph of Industry4.0 Standards. CoRR abs/2107.01910 (2021) - [i27]Valentina Janev, Maria-Esther Vidal, Kemele M. Endris, Dea Pujic:
Managing Knowledge in Energy Data Spaces. CoRR abs/2107.01965 (2021) - [i26]Valentina Janev, Dusan Popadic, Dea Pujic, Maria-Esther Vidal, Kemele M. Endris:
Reuse of Semantic Models for Emerging Smart Grids Applications. CoRR abs/2107.06999 (2021) - [i25]Samaneh Jozashoori, Ahmad Sakor, Enrique Iglesias, Maria-Esther Vidal:
EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines. CoRR abs/2112.07493 (2021) - 2020
- [j23]Fathoni A. Musyaffa, Maria-Esther Vidal, Fabrizio Orlandi, Jens Lehmann, Hajira Jabeen:
IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA. Expert Syst. Appl. 147: 113135 (2020) - [j22]Farah Karim, Maria-Esther Vidal, Sören Auer:
Compacting frequent star patterns in RDF graphs. J. Intell. Inf. Syst. 55(3): 561-585 (2020) - [j21]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 Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 10(3) (2020) - [j20]Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann:
No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph. J. Web Semant. 65: 100594 (2020) - [c173]Manuel Scurti, Ernestina Menasalvas Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio, Alejandro Rodríguez González:
A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. CBMS 2020: 193-196 - [c172]Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal:
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs. CIKM 2020: 3039-3046 - [c171]Ahmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal:
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata. CIKM 2020: 3141-3148 - [c170]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings. DEXA (2) 2020: 179-194 - [c169]Philipp D. Rohde, Maria-Esther Vidal:
Optimizing Federated Queries Based on the Physical Design of a Data Lake. EDBT/ICDT Workshops 2020 - [c168]Sebastian R. Bader, Irlán Grangel-González, Priyanka Nanjappa, Maria-Esther Vidal, Maria Maleshkova:
A Knowledge Graph for Industry 4.0. ESWC 2020: 465-480 - [c167]Claus Hoffmann, Maria-Esther Vidal:
Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents. ICWE 2020: 277-292 - [c166]Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal, Óscar Corcho:
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation. ISWC (1) 2020: 276-293 - [c165]Isaiah Onando Mulang', Kuldeep Singh, Akhilesh Vyas, Saeedeh Shekarpour, Maria-Esther Vidal, Sören Auer:
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking. WISE (1) 2020: 328-342 - [p4]Kemele M. Endris, Maria-Esther Vidal, Damien Graux:
Federated Query Processing. Knowledge Graphs and Big Data Processing 2020: 73-86 - [p3]Mayesha Tasnim, Diego Collarana, Damien Graux, Maria-Esther Vidal:
Context-Based Entity Matching for Big Data. Knowledge Graphs and Big Data Processing 2020: 122-146 - [p2]Valentina Janev, Dea Pujic, Marko Jelic, Maria-Esther Vidal:
Survey on Big Data Applications. Knowledge Graphs and Big Data Processing 2020: 149-164 - [e16]Leyla Jael García Castro, Sören Auer, Maria-Esther Vidal, Dietrich Rebholz-Schuhmann:
DaMaLOS - First Workshop on Data and Research Objects Management for Linked Open Science, Co-located at the International Semantic Web Conference ISWC 2020, Virtual Conference, November 2-3, 2020. 2020 [contents] - [e15]Fabrizio Orlandi, Damien Graux, Maria-Esther Vidal, Javier D. Fernández, Jeremy Debattista:
Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW) co-located with the 19th International Semantic Web Conference (ISWC 2020), Virtual event (instead of Athens, Greece), November 1st, 2020. CEUR Workshop Proceedings 2821, CEUR-WS.org 2020 [contents] - [i24]David Chaves-Fraga, Edna Ruckhaus, Freddy Priyatna, Maria-Esther Vidal, Óscar Corcho:
Enhancing OBDA Query Translation over Tabular Data with Morph-CSV. CoRR abs/2001.09052 (2020) - [i23]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 Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab:
Bias in Data-driven AI Systems - An Introductory Survey. CoRR abs/2001.09762 (2020) - [i22]Philipp D. Rohde, Maria-Esther Vidal:
Optimizing Federated Queries Based on the Physical Design of a Data Lake. CoRR abs/2002.08102 (2020) - [i21]Farah Karim, Maria-Esther Vidal, Sören Auer:
Compacting Frequent Star Patterns in RDF Graphs. CoRR abs/2003.05238 (2020) - [i20]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings. CoRR abs/2006.04556 (2020) - [i19]Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal:
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs. CoRR abs/2008.07176 (2020) - [i18]Samaneh Jozashoori, David Chaves-Fraga, Enrique Iglesias, Maria-Esther Vidal, Óscar Corcho:
FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation. CoRR abs/2008.13482 (2020) - [i17]Farah Karim, Maria-Esther Vidal, Sören Auer:
Compact Representations for Efficient Storage of Semantic Sensor Data. CoRR abs/2011.09748 (2020)
2010 – 2019
- 2019
- [j19]Maria-Esther Vidal, Kemele M. Endris, Samaneh Jazashoori, Ahmad Sakor, Ariam Rivas:
Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case. Datenbank-Spektrum 19(2): 95-106 (2019) - [j18]Johannes Frey, Kay Müller, Sebastian Hellmann, Erhard Rahm, Maria-Esther Vidal:
Evaluation of metadata representations in RDF stores. Semantic Web 10(2): 205-229 (2019) - [j17]Jeremy Debattista, Javier D. Fernández, Maria-Esther Vidal, Jürgen Umbrich:
Managing the evolution and preservation of the data web. J. Web Semant. 54: 1-3 (2019) - [c164]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:
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine. CBMS 2019: 106-111 - [c163]Maria-Esther Vidal, Samaneh Jozashoori:
Semantic Data Integration Techniques for Transforming Big Biomedical Data into Actionable Knowledge. CBMS 2019: 563-566 - [c162]Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal:
COMET: A Contextualized Molecule-Based Matching Technique. DEXA (1) 2019: 175-185 - [c161]Marlene Goncalves, Maria-Esther Vidal, Kemele M. Endris:
PURE: A Privacy Aware Rule-Based Framework over Knowledge Graphs. DEXA (1) 2019: 205-214 - [c160]Kemele M. Endris, Philipp D. Rohde, Maria-Esther Vidal, Sören Auer:
Ontario: Federated Query Processing Against a Semantic Data Lake. DEXA (1) 2019: 379-395 - [c159]Sahar Vahdati, Said Fathalla, Sören Auer, Christoph Lange, Maria-Esther Vidal:
Semantic Representation of Scientific Publications. TPDL 2019: 375-379 - [c158]Awais Manzoor Bajwa, Diego Collarana, Maria-Esther Vidal:
Interaction Network Analysis Using Semantic Similarity Based on Translation Embeddings. SEMANTiCS 2019: 249-255 - [c157]Lucie-Aimée Kaffee, Kemele M. Endris, Elena Simperl, Maria-Esther Vidal:
Ranking Knowledge Graphs By Capturing Knowledge about Languages and Labels. K-CAP 2019: 21-28 - [c156]Ahmad Sakor, Isaiah Onando Mulang', Kuldeep Singh, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann, Sören Auer:
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text. NAACL-HLT (1) 2019: 2336-2346 - [c155]Samaneh Jozashoori, Maria-Esther Vidal:
MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation. OTM Conferences 2019: 58-75 - [c154]David Chaves-Fraga, Kemele M. Endris, Enrique Iglesias, Óscar Corcho, Maria-Esther Vidal:
What Are the Parameters that Affect the Construction of a Knowledge Graph? OTM Conferences 2019: 695-713 - [c153]Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal:
FALCON: An Entity and Relation Linking Framework over DBpedia. ISWC (Satellites) 2019: 265-268 - [c152]