第 卷 第 期 大 连 民 族 大 学 学 报
23 1 Internet are relatively lacking. At the same time, the
texts on the Internet about the history of the Liao Dynasty are relatively lengthy and inconvenient
for the public to read. In order to facilitate the public to understand the relevant historical
knowledge of the Liao Dynasty more quickly and accurately, this study first obtains text data re-
lated to the history of the Liao Dynasty based on Baidu Encyclopedia, Sogou Encyclopedia, and
crawler technology. Next, the BiLSTM - CRF model is used for entity extraction, and the rela-
tionship between entities is extracted through the relationship extraction model. Then, entity a-
lignment and ontology construction are performed on the obtained data through knowledge fusion
technology. Finally, a knowledge graph of the history and culture of the Liao Dynasty is con-
structed, and a visual query system is developed on the basis of this knowledge graph.
Key words
:history and culture of the Liao Dynasty; knowledge graph; knowledge extraction;
named entity recognition
随着语义网的发展 目前互联网上发布越来 组成单位由头实体 尾实体以及描述这两实体之
, 、
越多的结构化数据
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