Research
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Our research fields are as follows:
Knowledge Representation with Deep Learning
- Knowledge Graph Embedding and Completion
- Reliable Knowledge Graph Path Representation Learning
- Context-aware Relational Learning for Knowledge Graphs
- Open-World Knowledge Graph Completion for Unseen Entities and Relations
NLP with Deep Learning & Knowledge Graphs
- Knowledge Injection for Conversational Recommender System
- Persona-Grounded Response Generation with Commonsense Knowledge
- Empathetic Response Generation via Recognizing Emotional Feature Transitions
- Active Learning for Information Extraction from Unstructured Text
Semantic Web Services: Discovery, Selection, Composition
- Conceptual Modeling (Ontology Development & Integration)
- Efficient Processing of Scalable Linked Data and RDF Streams
- Smart Objects Discovery and Composition in the Internet of Things
Theoretical and Technical Foundations of Service-Oriented Computing
- Service Discovery and Selection
- Service Composition and Engineering
- Service and Business Process Modeling
