Invited Talk
Title: Make It Easy to Query Knowledge Graphs: Issues and Technologies
Time: 9:40-10:20 (Beijing time, UTC+8), August 25, 2021
Weiguo Zheng, Fudan University
Abstract: As a large semantic repository, knowledge graphs has gained extensive attention from both academia and industrial communities. Generally, the huge knowledge graphs are automatically built based on the structured, semi-structured, or/and even unstructured data. To query these knowledge graphs accurately, it often demands the ability of using structured query language, e.g., SPARQL or Cypher. However, it is very difficult for common users to query and explore the knowledge graphs. Moreover, the schema-less problem further increases the difficulty of accessing these knowledge graphs. In this, talk, we will discuss the topic of knowledge graph usability, as well as current issues in the direction. Particularly, we will share some recent process on querying knowledge graphs using natural language questions.
Biography: Dr. Weiguo Zheng is an associate professor at School of Data Science, Fudan University, China. He has a broad interest in data management and understanding. His research focuses on graph data, such as knowledge graphs, natural language question answering, and social networks. More specifically, he is now conducting research into techniques that can make it easier to explore and query knowledge graphs. He is a regular invited reviewer for journals including IEEE TKDE, World Wide Web Journal, Information Sciences，Information Systems, and serves on the program committees including KDD，VLDB, IJCAI, AAAI, DASFAA and ICDM.