The invention discloses a method for extracting a relationship among geographic entities contained in an internet text. The method comprises the following steps of data preprocessing, document vectorization, weight calculation, keyword extraction and relational tuple construction. The method specifically comprises the steps of inputting the network text containing the geometric entities, extracting the spatial relationship or the semantic relationship among the geometric entities through data preprocessing, and obtaining a webpage pure text and candidate keywords; performing vectorization on the text by adopting a word-level vector space model, and establishing a word-context matrix; designing a novel weight calculation method for performing weight calculation on the geometric entities; and selecting the word with the maximum weight as a keyword from a context vector, constructing a relational tuple, and finally finishing geometric entity extraction. According to the method, a semantic-based retrieval mode is provided, so that a conventional search technology depending on the keyword is changed; and on the premise of lack of large-scale tagged corpora and a geometric knowledge library, geometric relationship description words can be quickly extracted, so that the operation efficiency is improved and the labor cost is greatly reduced.