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
Ahmad SakorPhD Student @ Leibniz University of Hannover & Research Assistant @ L3S Research Center & TIBVerified email at l3s.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
Hala Skaf-MolliUniversity of NantesVerified email at univ-nantes.fr
Marlene GoncalvesUniversidad Simón BolívarVerified email at usb.ve
Jens LehmannPrincipal Scientist at Amazon Inc. (Alexa AI), Honorary Professor at TU DresdenVerified email at amazon.com
Pascal MolliUniversity of NantesVerified email at univ-nantes.fr

Maria-Esther Vidal

Professor Leibniz University of Hannover, TIB, L3S Research Center; 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	388	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	260	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	127	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	118	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	102	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
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	89	2019
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
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	67	2020
Analyzing linked data quality with liquate E Ruckhaus, O Baldizán, ME Vidal On the Move to Meaningful Internet Systems: OTM 2013 Workshops: Confederated …, 2013	67	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
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	61	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	60	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	54	2019
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	52	2017
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	51	2019
A knowledge graph for industry 4.0 SR Bader, I Grangel-Gonzalez, P Nanjappa, ME Vidal, M Maleshkova The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020	48	2020
A Heuristic-Based Approach for Planning Federated SPARQL Queries. G Montoya, ME Vidal, M Acosta COLD 905, 2012	48	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	47	2015

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