U.S. Air Force Target Knowledge Graph Construction Based on Multisource Intelligence Analysis With the multisource intelligence data grow exponentially, traditional methods can barely satisfy the requirement, which means to organize and understand the tremendous military knowledge. So, this research project aims to develop unified, highly connected military knowledge graph to integrate information. Using frontend interaction technology, supporting learning function based on inference, errorcorrecting and marking, this graph can continuously modify the logic model and improve the intelligence of itself, so the knowledge will be solid in our department. By doing this, we can reduce our dependence on the experience of special experts, and moreover, provide platform for developing datadriven general battle system in recent years.

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.