Military field-oriented knowledge graph construction method
A knowledge map and construction method technology, applied in the direction of semantic tool creation, structured data browsing, structured data retrieval, etc., can solve problems such as few knowledge maps, inability to achieve accurate and efficient construction, lack of domain characteristics and pertinence, etc. To achieve the effect of efficient extraction
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Embodiment 1
[0071] A knowledge graph construction method for the military field, the main steps include:
[0072] S21. Integrate existing unstructured military text data;
[0073] S22. Supplement the existing data by obtaining information on domestic and foreign military-related news reports and encyclopedia equipment and institutions from the Internet;
[0074] S23. Set some entity types and entity relationship types through summarization and previous experience, and form entity metadata such as equipment categories, personnel organization categories, etc.;
[0075] S24, extracting military entities, element attributes and relationships between entities by means of fusion of multiple algorithms;
[0076] S25. Perform fusion verification on the obtained entities, attributes and relationships to obtain a correct data set;
[0077] S26. Perform other applications such as visualization, reasoning, and mining of knowledge graphs.
[0078] Obtain military raw data in S21 and S22, and the co...
Embodiment 2
[0094] A knowledge graph construction method for the military field, the method includes:
[0095] Integrate and organize existing unstructured military text data;
[0096] Obtain military-related news reports and encyclopedic equipment and institutions from the Internet through crawlers to supplement the existing data;
[0097] Perform preprocessing such as cleaning on the acquired data;
[0098] Set some entity types and entity relationship types by summarizing and previous experience to form entity metadata such as equipment categories, personnel organization categories, etc.;
[0099] Extraction of military entities, element attributes and relationships between entities by means of fusion of multiple algorithms;
[0100] Integrate and verify the obtained entities, attributes and relationships to obtain the correct data set;
[0101] Perform knowledge graph visualization, reasoning, mining and other applications.
[0102] Further, preprocessing such as cleaning the acqu...
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