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.
Patent No.:
Date of Patent:
Mar. 26, 2013
Filed:
Sep. 07, 2010
Pum MO Ryu, Daejeon, KR;
Myung Gil Jang, Daejeon, KR;
Hyunki Kim, Daejeon, KR;
Yigyu Hwang, Daejeon, KR;
Soojong Lim, Daejeon, KR;
Jeong Heo, Daejeon, KR;
Chung Hee Lee, Daejeon, KR;
Hyo-jung OH, Daejeon, KR;
Changki Lee, Daejeon, KR;
Miran Choi, Daejeon, KR;
Yeo Chan Yoon, Daejeon, KR;
Pum Mo Ryu, Daejeon, KR;
Myung Gil Jang, Daejeon, KR;
HyunKi Kim, Daejeon, KR;
YiGyu Hwang, Daejeon, KR;
Soojong Lim, Daejeon, KR;
Jeong Heo, Daejeon, KR;
Chung Hee Lee, Daejeon, KR;
Hyo-Jung Oh, Daejeon, KR;
Changki Lee, Daejeon, KR;
Miran Choi, Daejeon, KR;
Yeo Chan Yoon, Daejeon, KR;
Electronics and Telecommunications Research Institute, Daejeon, KR;
Abstract
A method for stabilizing a knowledge graph includes: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; and selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity. The method further includes computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.