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Chuangtao Ma

Postdoctoral Researcher

Department of Computer Science
Aalborg University (AAU)

About Me

I am a postdoctoral researcher at the Department of Computer Science of Aalborg University. I work in the Data Engineering, Science and Systems (DESS) group advised by Dr. Arijit Khan. I completed my Ph.D. in Informatics at the Eötvös Loránd University previously.

My research interests include data integration, ontology learning, knowledge representation, and knowledge graph. Currently, I am keen on the topic of knowledge empowered machine learning, knowledge augmented model, and their applications in data management.

Interests

  • Data Integration
  • Knowledge Representation
  • Ontology Learning
  • Knowledge Enhancement & Augmentation

Education

  • PhD in Information Systems, 2023

    Eötvös Loránd University (ELTE), Budapest, Hungary

  • MSc in Management Information Systems, 2018

    Xi'an Polytechnic University, Xi'an, China

Recent Publications

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Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching

This work introduces novel vector-based, graph traversal-based, and query-based graph retrievals, as well as a hybrid approach and ranking schemes that identify the most relevant subgraphs from external large knowledge graphs (KGs) to agumente LLMs for schema matching …
DOI arXiv Code

Knowledge Enriched Schema Matching Framework for Heterogeneous Data Integration

This paper presents a framework of knowledge-enriched schema matching for heterogeneous data integration. Specifically, we investigated the recent research work on the topics of schema matching and knowledge representation learning…
DOI IEEE

Ontology Learning from Relational Database: Opportunities for Semantic Information Integration

This paper surveys the recent methods and tools of the ontology learning from RDB, and highlights the potential opportunities and challenges of using ontology learning in semantic information integrationon…
DOI World Scientific
Framework of mapping RDB to Ontology

A Semi-Automatic Semantic Consistency-Checking Method for Learning Ontology from Relational Database

This paper presented a (semi-)automatic semantic consistency checking method based on the graph intermediate representation and model checking to check the semantic consistency while learning ontology from RDB…
DOI MDPI Code
Semantic consistency checking for learning ontology from relational database

Research Topics

Data Integration Knowledge Representation Schema Matching Ontology Learning Knowledge Graph Business Process Integration

Conference & Summer School

[AIB2022] Knowledge Graph Enhanced Schema Matching Network for Heterogeneous Data Integration

In this presentation, a knowledge graph enhanced schema matching network for heterogeneous data integration is introduced …
Jun 10, 2022 09:00 AM — 09:20 AM University of Bergen, Norway

[ADBIS2019] Data Integration of Legacy ERP System based on Ontology Learning from SQL Scripts

In this presentation, a data integration approach based on ontology learning was presented for tackling the problem of low-efficiency …
Sep 8, 2019 11:40 AM — 12:10 PM Hotel Park, Bled, Slovenia
Slides

[ISWS2019] Reconciliation and Integration of Legacy ERP System Based on Ontology Learning

In this poster, a legacy ERP system integration framework based on ontology learning (OL) was proposed to achieve the integration of the …
Jul 1, 2019 3:30 PM — 4:30 PM University of Bologna, Italy

Service & Reviewer

*
All Journal Conference
PVLDB, IEEE Access, Mathematics
External Reviewer
Journal of Advances in Information Technology
Reviewer
LLM+KG@VLDB'24, KGs for Responsbile AI@CIKM'24, icSoftComp'24
PC Member
ICLR'2025, Demos@ICDE'2025, LOG'2024
Reviewer

Contact

  • chuma[at]cs[dot]aau[dot]dk
  • Selma Lagerløfs Vej 300, 9220, Aalborg, Denmark
  • Room 3.2.16, Cluster 3