The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 23, 2019

Filed:

Dec. 06, 2013
Applicants:

Peking University Founder Group Co., Ltd., Beijing, CN;

Founder Apabi Technology Limited, Beijing, CN;

Peking University, Beijing, CN;

Inventors:

Mao Ye, Beijing, CN;

Zhi Tang, Beijing, CN;

Jianbo Xu, Beijing, CN;

Lifeng Jin, Beijing, CN;

Wei Wan, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
G06F 17/3071 (2013.01); G06F 3/0484 (2013.01); G06F 17/30666 (2013.01); G06F 17/30672 (2013.01); G06F 17/30684 (2013.01);
Abstract

The present invention provides a semantic information acquisition method and system, and corresponding keyword expansion and search methods and systems, comprising: searching for, then classifying an article; then, performing word segmentation according to the classified article to obtain the words in said category, and setting said category and words to serve as the semantic information of the keyword; also, a method and system using the semantic information acquisition method to expand a keyword, and a method and system using keyword expansion to perform a search. The described semantic information acquisition method effectively avoids the technical problems in the prior art of only being able to obtain semantic information of English vocabulary; and it also being impossible to classify semantic information based on category information. The invention is particularly suitable for searching using a keyword, searching a large number of texts, and organizing large amounts of related data and information.


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