Maribel Acosta/en

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  • Dr.-Ing. Maribel Acosta

  • Akademische Rätin (Research Associate and Lecturer)
  • Phone: +49 721 608 46584
  • Email: maribel acosta∂kit edu
  • Room: 5A-16 (Building: 05.20)

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

  • Data Management
  • Semantic Web
  • Knowledge Representation

Brief CV
Since 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


Active Projects


External Link:

Research area
Knowledge Representation And Reasoning, Database Systems, Big Data, Artificial Intelligence, Semantic Web