Method and system for inferring relationship between entities for open network knowledge base

Abstract

The invention provides an open-network-knowledge-base-oriented between-entity relationship deduction method which comprises the steps that according to a target entity, all entities which are connected with the target entity in a relation-path mode in a knowledge base are found to be used as a candidate entity set; according to target relationship to be deducted, all entity pairs with the target relationship are found in the knowledge base; and relation path information between the found entity pairs and attribute information of the entities are considered comprehensively, and candidate entities which may have the target relationship with the target entity are selected from the candidate entity set. Relationship between the entities are deducted automatically according to existing entity relationship in the knowledge base and entity attributes, deduction effect is effectively improved, and enriching and completing of relationship in the knowledge base are achieved.

Description

technical field [0001] The invention relates to an open network knowledge base, in particular to a method for inferring the relationship between entities in the open network knowledge base. Background technique [0002] Knowledge Base (Knowledge Base) is a structured, easy-to-operate, easy-to-use, and comprehensively organized knowledge cluster in knowledge engineering. Knowledge representation is a collection of interconnected pieces of knowledge stored, organized, managed and used in computer memory. These pieces of knowledge include theoretical knowledge related to the field, real-time data, and heuristic knowledge obtained from expert experience, such as relevant definitions, theorems, algorithms, and common sense knowledge in a certain field. The main functions of the knowledge base are as follows: the knowledge base makes information and knowledge orderly, which is the primary contribution of the knowledge base to information organization; the knowledge base speeds up...

AI Technical Summary

Problems solved by technology

However, this method manually formulates the rules, which has a large workload and a limited number of rules that can be formulated. The scope of coverage is small, and it has great limitations.

Some researchers have proposed an inference method based on the path relationship between entities. This method can save the complicated process of artificially formulating rules, and automatically learn inference rules to infer the relationship between entities. However, when the number of paths between entities is large When there are few, or lack of relationship information between entities, the inference effect of this method will be very poor

Images