Photo credit: Emilie Orgler

Yaser Oulabi

PhD Candidate
yaser (at) informatik.uni-mannheim.de
http://www.yaseroulabi.de
 

B6, 26, Room C 1.03
68159 Mannheim, Germany
Phone: +49 (0) 621 / 181-2737

About

I am a PhD candidate at the Chair of Information Systems V: Web-based Systems, supervised by Prof. Dr. Christian Bizer, working on the expansion of cross-domain knowledge base using structured web data. In my research I focus on the tasks of Long-Tail Entity Extraction and Time-Dependent Data Fusion to augment knowledge bases like DBpedia or Wikidata using web table corpora provided by the Web Data Commons Project.

Research Interests

  • Knowledge Base Completion
  • Web Table Data Consolidation
  • Long-Tail Entity Extraction
  • Time-Dependent Web Data Fusion
  • Weak Supervision

Published Datasets

Time-Dependent Ground-Truth Dataset
Ground truth of time-dependet data from various domains. The datset allows the development and evaluation of methods dealing with time-dependent data. 

Web Tables for Long-Tail Entity Extraction
Gold standard for evaluating the extraction of long-tail entities from web tables. The dataset was built with the motivation of augmenting a cross-domain knowledge base with previously unknown entities from web data.

Code & Projects

Extracting Long Tail Entities from Web Tables for Augmenting Cross-Domain Knowledge Bases
Code und instructions on replicating our research on the extraction of long-tail entities from web tables and the use of weak supervision approaches for this task. 

Pending Publications

Oulabi, Y. and Bizer, C. (2019). Using weak supervision to identify long-tail entities for knowledge base completion. In: 15th International Conference on Semantic Systems, SEMANTiCS 2019, Karlsruhe, Deutschland, September 9 - 12, 2019. 

Publications