Maria-Esther Vidal

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Sören AuerLeibniz University of Hannover, Leibniz TIB, L3S Research CenterVerified email at et-inf.uni-hannover.de
Louiqa RaschidProfessor, University of MarylandVerified email at umiacs.umd.edu
Edna RuckhausVerified email at ldc.usb.ve
Maribel AcostaAssistant Professor, Ruhr University Bochum (RUB)Verified email at rub.de
Zoe LacroixAssociate Professor, Arizona State UniversityVerified email at asu.edu
Guillermo PalmaUniversidad Simón BolívarVerified email at usb.ve
Diego CollaranaFraunhofer IAIS & Universidad Privada Boliviana (UPB)Verified email at upb.edu
Gabriela MontoyaAalborg UniversityVerified email at cs.aau.dk
Mikhail GalkinIntel AI LabVerified email at intel.com
Ioanna LytraData and Knowledge Engineer, Semantic Web CompanyVerified email at cs.uni-bonn.de
Kuldeep SinghProduct Manager- Conversational AI ResearchVerified email at cerence.com
Kemele M. EndrisL3S Research Center, Leibniz Information Centre for Science and TechnologyVerified email at l3s.de
Christoph LangeFraunhofer FIT, GermanyVerified email at fit.fraunhofer.de
Irlan Grangel-GonzalezBosch Corporate ResearchVerified email at de.bosch.com
Samaneh JozashooriScientific Researcher and PhD student, Leibniz Universitaet HannoverVerified email at tib.eu
Marlene GoncalvesUniversidad Simón BolívarVerified email at usb.ve
Hala Skaf-MolliUniversity of NantesVerified email at univ-nantes.fr
Ahmad SakorPhD Student @ Leibniz University of Hannover & Research Assistant @ L3S Research Center & TIBVerified email at l3s.de
Pascal MolliUniversity of NantesVerified email at univ-nantes.fr
Jens LehmannPrincipal Scientist at Amazon Alexa AI, Honorary Professor at TU DresdenVerified email at amazon.com

Maria-Esther Vidal

Professor TIB, L3S Research Center; Leibniz University of Hannover, Universidad Simon Bolivar

Verified email at l3s.de - Homepage

Query Optimization Adaptive Query Processing Service Composition Query Rewriting


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Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020	341	2020
ANAPSID: an adaptive query processing engine for SPARQL endpoints M Acosta, ME Vidal, T Lampo, J Castillo, E Ruckhaus The Semantic Web–ISWC 2011: 10th International Semantic Web Conference, Bonn …, 2011	256	2011
Wrapper generation for web accessible data sources J Gruser, L Raschid, ME Vidal, L Bright Proceedings. 3rd IFCIS International Conference on Cooperative Information …, 1998	147	1998
Towards a knowledge graph for science S Auer, V Kovtun, M Prinz, A Kasprzik, M Stocker, ME Vidal Proceedings of the 8th international conference on web intelligence, mining …, 2018	121	2018
Efficiently joining group patterns in SPARQL queries ME Vidal, E Ruckhaus, T Lampo, A Martínez, J Sierra, A Polleres The Semantic Web: Research and Applications: 7th Extended Semantic Web …, 2010	117	2010
Why reinvent the wheel: Let's build question answering systems together K Singh, AS Radhakrishna, A Both, S Shekarpour, I Lytra, R Usbeck, ... Proceedings of the 2018 world wide web conference, 1247-1256, 2018	100	2018
Using Quality of Data Metadata for Source Selection and Ranking. GA Mihaila, L Raschid, ME Vidal WebDB (informal proceedings), 93-98, 2000	98	2000
Efficient evaluation of queries in a mediator for websources V Zadorozhny, L Raschid, ME Vidal, T Urhan, L Bright Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002	88	2002
Old is gold: linguistic driven approach for entity and relation linking of short text A Sakor, IO Mulang, K Singh, S Shekarpour, ME Vidal, J Lehmann, S Auer Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	85	2019
Analyzing linked data quality with liquate E Ruckhaus, O Baldizán, ME Vidal On the Move to Meaningful Internet Systems: OTM 2013 Workshops: Confederated …, 2013	65	2013
The industry 4.0 standards landscape from a semantic integration perspective I Grangel-González, P Baptista, L Halilaj, S Lohmann, ME Vidal, C Mader, ... 2017 22nd IEEE international conference on emerging technologies and factory …, 2017	64	2017
Falcon 2.0: An entity and relation linking tool over wikidata A Sakor, K Singh, A Patel, ME Vidal Proceedings of the 29th ACM International Conference on Information …, 2020	57	2020
Drug-target interaction prediction using semantic similarity and edge partitioning G Palma, ME Vidal, L Raschid The Semantic Web–ISWC 2014: 13th International Semantic Web Conference, Riva …, 2014	57	2014
Evaluation of metadata representations in RDF stores J Frey, K Müller, S Hellmann, E Rahm, ME Vidal Semantic Web 10 (2), 205-229, 2019	53	2019
SDM-RDFizer: An RML interpreter for the efficient creation of rdf knowledge graphs E Iglesias, S Jozashoori, D Chaves-Fraga, D Collarana, ME Vidal Proceedings of the 29th ACM International Conference on Information …, 2020	51	2020
Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems. M Galkin, S Auer, ME Vidal, S Scerri ICEIS (2), 88-98, 2017	49	2017
A Heuristic-Based Approach for Planning Federated SPARQL Queries. G Montoya, ME Vidal, M Acosta COLD 905, 2012	48	2012
Ontario: Federated query processing against a semantic data lake KM Endris, PD Rohde, ME Vidal, S Auer Database and Expert Systems Applications: 30th International Conference …, 2019	47	2019
Benchmarking federated SPARQL query engines: Are existing testbeds enough? G Montoya, ME Vidal, O Corcho, E Ruckhaus, C Buil-Aranda The Semantic Web–ISWC 2012: 11th International Semantic Web Conference …, 2012	47	2012
Networks of linked data eddies: An adaptive web query processing engine for RDF data M Acosta, ME Vidal The Semantic Web-ISWC 2015: 14th International Semantic Web Conference …, 2015	46	2015

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