Construction and Application of Knowledge Graph System in Computer Science This paper proposes a method for constructing a knowledge graph system for computer science. According to the domain knowledge collected and summarized, the data mapping model is established by analyzing the structure of the data, and the data is parsed by the stream processing method. Then, the property graph model is established according to the structure of the data to obtain the entity, the attributes of the entity and the relationship between the entities. The Neo4j graph database is also used as a storage carrier to realize the construction of the knowledge graph system in the field of computer science.

Automatic Knowledge Graph Construction: A Report on the 2019 ICDMICBK Contest Automatic knowledge graph construction seeks to build a knowledge graph from unstructured text in a specific domain or cross multiple domains, without human intervention. IEEE ICDM 2019 and ICBK 2019 invited teams from both degreegranting institutions and industrial labs to compete in the 2019 Knowledge Graph Contest by automatically constructing knowledge graphs in at least two different domains. This article reports the outcomes of the Contest. The participants were expected to build a model to extract knowledge represented as triplets from text data and develop a web application to visualize the triplets. Awards were given to five teams. Their models and key techniques used to construct knowledge graphs are summarized.