Semantic relevance-based XML (Extensive Makeup Language) keyword top-k inquiring method

The invention discloses a semantic relevance-based XML (Extensive Makeup Language) keyword top-k inquiring method which comprises the following steps of: pretreating a document needing XML by a tree structure and regarding an information segment which can meet the following condition in an XML document as a virtual document; calculating relevance degree between each virtual document and a lexicalitem contained in the virtual document according to a relevance degree calculating model, establishing an inverted list containing the lexical item virtual document for each lexical item and arranging the inverted list in a descending order according to the relevance degree; and realizing top-k query on the basis of relevance degree between the virtual document d and keyword query Q. The invention can return a plurality of most relevant query results to a user in advance according to the requirement of the user under the condition of not calculating all query results, prevent redundancy operation and improve the effic