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Mohamed Gadelrab

Mohamed H. Gad-Elrab

Max-Planck-Institut für Informatik
Department 5: Databases and Information Systems
 office: Campus E1 4, Room 409
Saarland Informatics Campus
66123 Saarbrücken
Germany
 email: Get my email address via email
 phone: +49 681 9325-5009
 fax: +49 681 9325-524

Research Interests

  • Information Extraction and Information Retrieval
  • Data Mining
  • Natural Language Processing

Publications

  • ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text [Text]
    Mohamed Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum
    In 12th International Conference on Web Search and Data Mining, to appear, ACM 2019.
  • Tutorial: Rule Induction and Reasoning over Knowledge Graphs [Text]
    Daria Stepanova, Mohamed H. Gad-Elrab, Vinh Thinh Ho
    Reasoning Web International Summer School (RW2018), Springer 2018.
  • Rule Learning from Knowledge Graphs Guided by Embedding Models [Text | Code and Resources]
    Vinh Thinh Ho, Daria Stepanova, Mohamed H. Gad-Elrab, Evgeny Kharlamov, Gerhard Weikum
    In 17th International Semantic Web Conference (ISWC 2018), 72-90, Springer 2018.
  • Towards Nonmonotonic Relational Learning from Knowledge Graphs [Resources]
    Hai Dang Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Francesca A. Lisi, Gerhard Weikum
    In 26th International Conference on Inductive Logic Programming (ILP2016), 94-107, Springer 2017.
  • Exception-enriched Rule Learning from Knowledge Graphs [Text | Slides]
    Mohamed Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum
    In 15th International Semantic Web Conference (ISWC 2016),234-251, Springer 2016.
  • EDRAK: Entity-Centric Data Resource for Arabic Knowledge [Text| Slides | Resources]
    Mohamed H. Gad-Elrab, Mohamed Amir Yosef, Gerhard Weikum
    In 2nd Workshop on Arabic NLP, ACL 2015.
  • Named Entity Disambiguation for Resource-Poor Languages [Text]
    Mohamed H. Gad-Elrab, Mohamed Amir Yosef, Gerhard Weikum
    In 8th Workshop on Exploiting Semantic Annotations in Information Retrieval, CIKM 2015, ACM 2015.

Teaching

  • WS 2015/16: Teaching Assistance, Information Retrieval and Data Mining.
  • WS 2017/18: Teaching Assistance, Knowledge Representation for the Semantic Web.

Education