Vector representation method of knowledge mapping domain and inference method and system of knowledge mapping domain

A knowledge map and vector representation technology, applied in relational databases, electrical digital data processing, special data processing applications, etc., can solve problems such as non-adaptive adjustment of learning accuracy, and improve the effect of relational reasoning and improve accuracy Effect

Inactive Publication Date: 2017-06-30
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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This fixed interval cannot adaptively adjust the learning accurac

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  • Vector representation method of knowledge mapping domain and inference method and system of knowledge mapping domain
  • Vector representation method of knowledge mapping domain and inference method and system of knowledge mapping domain
  • Vector representation method of knowledge mapping domain and inference method and system of knowledge mapping domain

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[0030] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0031] In short, the method according to an embodiment of the invention includes: representing entity pairs, relations, and multi-step relational paths between entity pairs as initial low-dimensional vectors; designing a learning objective (loss function) based on a model of specific path translation Training and learning, through continuous adjustment, update the value of entities, relationships and vectors to minimize the loss function; use these trained vectors for entity prediction or relationship reasoning, etc.

[0032] In this paper, the specific path translation refers to calcu...

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Abstract

The invention provides a vector representation method of a knowledge mapping domain. The method comprises the steps that the multi-step relation paths of the entity pairs in a knowledge mapping domain and between the relations and entity pairs are expressed as the initial low-dimensional vector; a model of the low-dimensional vector of the multi-step relation paths of the entity pairs and between the relations and the entity pairs is trained using a loss function with variable intervals. The model learned from the vector representation method is using for relation inferences to improve the accuracy of inferences in different knowledge mapping domains.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method and system for relational reasoning based on a knowledge map translated by a specific path. Background technique [0002] A knowledge graph is a knowledge cluster organized in the form of a graph in knowledge engineering, which consists of different types of entities as nodes and relationships as edges connecting nodes. In the knowledge graph, entities refer to objective objects in the real world (e.g., Barack Obama), or abstract concepts in human minds (e.g., the 44th President of the United States). A relationship describes the actual relationship between two entities (for example, Barack Obama is the 44th president of the United States, that is, there is a "is" relationship between Barack Obama and the 44th president of the United States). [0003] In known knowledge graphs, entity types include people, events, organizations, places, etc., and the type...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/288G06F16/2237
Inventor 程学旗贾岩涛李曼玲王元卓靳小龙苏佳林
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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