Maria-Esther Vidal

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Sören AuerLeibniz University of Hannover, TIB Leibniz Information Centre for Science and Technology, L3SVerified 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 GalkinMILA, McGill UniversityVerified email at mila.quebec
Ioanna LytraData and Knowledge Engineer, Semantic Web CompanyVerified email at cs.uni-bonn.de
Christoph LangeFraunhofer FIT, GermanyVerified email at fit.fraunhofer.de
Kemele M. EndrisL3S Research Center, Leibniz Information Centre for Science and TechnologyVerified email at l3s.de
Kuldeep SinghProduct Manager- Conversational AI ResearchVerified email at cerence.com
Irlan Grangel-GonzalezBosch Corporate ResearchVerified email at de.bosch.com
George Andrei MihailaSoftware Engineering Manager, Apple Inc.Verified email at apple.com
Marlene GoncalvesUniversidad Simón BolívarVerified email at usb.ve
Hala Skaf-MolliUniversity of NantesVerified email at univ-nantes.fr
Pascal MolliUniversity of NantesVerified email at univ-nantes.fr
Jens LehmannProfessor of Computer Science at the University of Bonn & Fraunhofer IAISVerified email at cs.uni-bonn.de
Samaneh JozashooriScientific Researcher and PhD student, Leibniz Universitaet HannoverVerified email at tib.eu

Maria-Esther Vidal

TIB-Leibniz Information Centre For Science and Technology & Leibniz University of Hannover & L3S

Verified email at usb.ve - Homepage

Query Optimization Adaptive Query Processing Service Composition Query Rewriting


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ANAPSID: an adaptive query processing engine for SPARQL endpoints M Acosta, ME Vidal, T Lampo, J Castillo, E Ruckhaus International Semantic Web Conference, 18-34, 2011	240	2011
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	214	2020
Wrapper generation for web accessible data sources JR Gruser, L Raschid, ME Vidal, L Bright Proceedings. 3rd IFCIS International Conference on Cooperative Information …, 1998	143	1998
Efficiently joining group patterns in SPARQL queries ME Vidal, E Ruckhaus, T Lampo, A Martínez, J Sierra, A Polleres Extended Semantic Web Conference, 228-242, 2010	106	2010
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	104	2018
Using Quality of Data Metadata for Source Selection and Ranking. GA Mihaila, L Raschid, ME Vidal WebDB (informal proceedings), 93-98, 2000	94	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	87	2002
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	82	2018
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	67	2019
Analyzing linked data quality with liquate E Ruckhaus, O Baldizán, ME Vidal OTM Confederated International Conferences" On the Move to Meaningful …, 2013	63	2013
Drug-target interaction prediction using semantic similarity and edge partitioning G Palma, ME Vidal, L Raschid International Semantic Web Conference, 131-146, 2014	52	2014
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	51	2017
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	46	2017
A Heuristic-Based Approach for Planning Federated SPARQL Queries. G Montoya, ME Vidal, M Acosta COLD 905, 2012	46	2012
Benchmarking federated SPARQL query engines: Are existing testbeds enough? G Montoya, ME Vidal, O Corcho, E Ruckhaus, C Buil-Aranda International Semantic Web Conference, 313-324, 2012	45	2012
Networks of linked data eddies: An adaptive web query processing engine for RDF data M Acosta, ME Vidal International Semantic Web Conference, 111-127, 2015	43	2015
Querying quality of data metadata G Mihaila, L Raschid, ME Vidal In Third IEEE META-DATA Conference, Bethesda, Maryland, 1999	42	1999
A meta-wrapper for scaling up to multiple autonomous distributed information sources ME Vidal, L Raschid, JR Gruser Proceedings. 3rd IFCIS International Conference on Cooperative Information …, 1998	42	1998
Evaluation of metadata representations in RDF stores J Frey, K Müller, S Hellmann, E Rahm, ME Vidal Semantic Web 10 (2), 205-229, 2019	41	2019
Federated SPARQL queries processing with replicated fragments G Montoya, H Skaf-Molli, P Molli, ME Vidal International Semantic Web Conference, 36-51, 2015	41	2015

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