A knowledge map organization query method based on hybrid database
A technology of knowledge graph and organization query, applied in the field of knowledge graph organization and query
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[0047] Query example 1: The entered entity name has entity ambiguity
[0048] 1) Input entity: Qilixiang
[0049] 2) SQL query: query ambiguous vocabulary in MySQL
[0050] 3) The SQL query hits (represents the ambiguity of the entered entity name "Qilixiang"), and returns the ambiguous entity pointing to "Qilixiang":
[0051] Qi Lixiang (Jay Chou released album in 2004)
[0052] Qilixiang (a plant of the genus Rutaceae)
[0053] Qi Lixiang (Songs sung by Jay Chou)
[0054] Qilixiang (Poetry Name, Poem Collection Name)
[0055] Qilixiang (Thailand TV series)
[0056] Qilixiang (Chinese medicine)
[0057] Qilixiang (the novel "Qilixiang")
[0058] ………………
[0059] 4) Entity disambiguation:
[0060] Assume that entity disambiguation is performed according to the context at this time.
[0061] The context is: "Jay Chou's Qilixiang is a song I like very much".
[0062] Therefore, the entity after disambiguation according to the context is: Qilixiang (Songs sung by Jay Chou)
[0063] 5) CQL query:
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