Background Knowledge

Master essential research skills while diving into Knowledge Graphs (KG) and Natural Language Processing (NLP).

This learning track equips you with both fundamental research methodologies and domain expertise in Knowledge Graph (KG) and Natural Language Process (NLP) area.

Core Research Skills Development

Learn the essential skills needed for academic research:

• Literature Review & Research Planning

  • Systematic literature review methods

  • Research gap identification

  • Research question formulation

  • Using research tools effectively (e.g., Zotero, Mendeley)

• Experimental Design & Implementation

  • Research methodology design

  • Experiment setup and control

  • Data collection and analysis

  • Research code development best practices

• Academic Writing & Publication

  • Research paper structure

  • Academic writing techniques

  • LaTeX and research tools usage

  • Understanding peer review process

  • Conference vs. journal publication strategies

KG and NLP Focus

Build expertise in our group's core research areas:

• Knowledge Graphs & Ontologies

  • KG fundamentals and applications

  • Ontology engineering

  • KG construction and maintenance

  • Knowledge Graph Embeddings (KGE)

  • KG Reasoning

• Natural Language Processing

  • Document processing fundamentals

  • Text analysis and understanding

  • Information extraction

  • Neural language models