M
Maria-Esther Vidal
Researcher at Leibniz University of Hanover
Publications - 289
Citations - 3556
Maria-Esther Vidal is an academic researcher from Leibniz University of Hanover. The author has contributed to research in topics: RDF & SPARQL. The author has an hindex of 26, co-authored 272 publications receiving 2689 citations. Previous affiliations of Maria-Esther Vidal include University of Maryland, College Park & Technical University of Madrid.
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Journal ArticleDOI
Bias in data-driven artificial intelligence systems—An introductory survey
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,Bettina Berendt,Tina Kruegel,Christian Heinze,Klaus Broelemann,Gjergji Kasneci,Thanassis Tiropanis,Steffen Staab,Steffen Staab,Steffen Staab +25 more
TL;DR: A broad multidisciplinary overview of the area of bias in AI systems is provided, focusing on technical challenges and solutions as well as to suggest new research directions towards approaches well‐grounded in a legal frame.
Book ChapterDOI
ANAPSID: an adaptive query processing engine for SPARQL endpoints
TL;DR: ANAPSID is presented, an adaptive query engine for SPARQL endpoints that adapts query execution schedulers to data availability and run-time conditions and speeds up execution time in some cases, in more than one order of magnitude.
Proceedings ArticleDOI
Why Reinvent the Wheel: Let's Build Question Answering Systems Together
Kuldeep Singh,Arun Sethupat Radhakrishna,Andreas Both,Saeedeh Shekarpour,Ioanna Lytra,Ricardo Usbeck,Akhilesh Vyas,Akmal Khikmatullaev,Dharmen Punjani,Christoph Lange,Maria-Esther Vidal,Jens Lehmann,Sören Auer +12 more
TL;DR: It is suggested that Frankenstein precisely solves the QA optimisation problem but also enables the automatic composition of optimised QA pipelines, which outperform the static Baseline QA pipeline.
Proceedings ArticleDOI
Towards a Knowledge Graph for Science
TL;DR: The vision of a knowledge graph for science is proposed, a possible infrastructure for such a knowledge graphs is presented as well as early attempts towards an implementation of the infrastructure.
Proceedings ArticleDOI
Wrapper generation for Web accessible data sources
TL;DR: This work presents technology to define and (automatically) generate wrappers for Web accessible sources and develops a wrapper generation toolkit of graphical interfaces and specification languages to specify the capability of sources and the functionality of the wrapper.