Project 19: Knowledge Graph Construction and its Application in Individual Relationship Analysis
Contact Information:
Assoc. Prof. Lihong Jiang
Email: Jianglh@sjtu.edu.cn
Project Description and Objectives:
A knowledge graph is a promising method of representing the semantics of information formally, which is mainly used in Web search engine development. For Web searching, knowledge graphs act as knowledge bases providing relationships between searched objects to enhance the search results. However, it is not easy to construct a knowledge graph automatically. NLP (Natural Language Processing) could be used to handle the problem of a knowledge graph. Based on the Knowledge Graph, entity relationships could be established so that the search results could be refined.
There exist several NLP toolkits to process sentences of natural language, but they need to be tailored for knowledge graph construction. Also, for the recognition of relationships of concepts in the knowledge graph, open-linked data need to be involved in building a bridge between isolated entities. Based on the setup of knowledge graphs, individual information on the Web can be searched, recognized and analyzed semantically.
Eligibility Requirements:
Interested students should be proficient in JAVA and Web application development.
Main Tasks:
Software development.
Finish a research report.
Two research presentations.
Submit one paper to a journal or conference as a co-author.
Website: