Maribel Acosta/en

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Dr.-Ing. Maribel Acosta

Former Member

Email: maribel acosta∂kit edu

Former: Akademische Rätin (Research Associate and Lecturer)

Research group: Web Science

Maribel Acosta was a Lecturer and Acting Professor (SS2020) at the Web Science research group. Her research topics include:

  • Data Management
  • Semantic Web
  • Knowledge Representation

Currently, she is the Assistant Professor of Databases and Information Systems at the Ruhr-University Bochum.

Brief CV
SS 2020Deputy Professor, Web Science, KIT
Since 2019Lecturer, Web Science, KIT
Since 2017Assistant Lecturer, Department of Computational Linguistics, Heidelberg University
2017-2019Postdoctoral Researcher, Web Science, KIT
2017Dissertation on "Query Processing over Graph-structured Data on the Web" (Summa Cum Laude)
2012-2017Associate Researcher, Knowledge Management, KIT
2012Master in Computer Science, Universidad Simon Bolivar

  • Top-100 Most Influential Scholars in the field of AI Knowledge Engineering (ranked 51) by Aminer, 2020
  • Best Student Paper Award, Extended Semantic Web Conference (ESWC), 2019
  • Best Dissertation Award in Informatics, Department of Economics and Management, KIT, 2018
  • Nominee for Best Resource Paper Award, International Semantic Web Conference (ISWC), 2017
  • Best Paper Award, International Workshop on Dataset Profiling and Federated Search for Web Data (PROFILES), 2017
  • Best Student Paper Award, ACM SIGAI International Conference in Knowledge Capture (K-CAP), 2015
  • Best Reviewer Award (Research Track), International Semantic Web Conference (ISWC), 2015
  • Winner of the Challenge for Crowdsourcing for Social Multimedia, Benchmarking Initiative for Multimedia Evaluation (MediaEval), 2013
  • Best Demo Paper Award, Extended Semantic Web Conference (ESWC), 2012
  • Honour Recognition of Master Thesis, Computer Science Dept., Universidad Simon Bolivar, 2012
  • Best B.Sc. Thesis in Computer Science, IEEE-INELECTRA Contest, 2009

Research area
WissensrepräsentationDatenbanksystemeBig DataKünstliche IntelligenzSemantic Web