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Domain knowledge graph construction method and system based on big data driving

A technology driven by big data and domain knowledge, applied in the field of information processing, can solve problems such as low accuracy requirements, and achieve the effect of high accuracy and rich and strict data models

Inactive Publication Date: 2019-04-09
BEIJING UNIV OF POSTS & TELECOMM
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  • Description
  • Claims
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Problems solved by technology

The currently released knowledge graphs are basically general-purpose knowledge graphs, which emphasize breadth and are mainly used in services such as search, and do not require high accuracy

Method used

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  • Domain knowledge graph construction method and system based on big data driving
  • Domain knowledge graph construction method and system based on big data driving
  • Domain knowledge graph construction method and system based on big data driving

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Embodiment Construction

[0031] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0032] First of all, the formal definition of the knowledge map is: logically, the knowledge map can be divided into two levels: the data layer and the model layer. In the data layer of the knowledge map, knowledge is stored in the graph database in units of facts, and the triplet of "entity-relationship-entity" or "entity-attribute-attribute value" is used as the basic expression of facts and stored in the graph database. The huge entity relationship network composed of all facts forms a knowledge graph. The schema l...

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Abstract

The invention discloses a domain knowledge map construction method and system based on big data driving, and the method comprises the following steps: crawling a data source in a network, and obtaining first data information; Performing data information extraction on the data source to extract association information between the entities; carrying out Knowledge fusion on the association information between the entities, and establishing a relational database; And converting the relational database into a graph database model to construct a knowledge graph. The method can provide strict and rich data modes, assists various complex analysis applications or decision supports, is high in accuracy, has a guidance value in the actual construction process of the knowledge graph, and has industrial significance.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a method and system for building domain knowledge graphs driven by big data. Background technique [0002] A domain knowledge graph is a semantic network constructed by extracting entities and semantic relationships between entities from specific resources in a specific domain. The knowledge system it contains is usually highly domain-specific and professional. However, the current patent achievements of knowledge graph construction at home and abroad emphasize a certain aspect of knowledge graph construction in isolation, mainly about the key technologies of natural language processing in knowledge graphs, including entity recognition, relationship recognition, entity linking, knowledge Fusion, knowledge computing, etc., such as data representation, storage format, or knowledge acquisition methods and models in knowledge graphs; another problem is that kno...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28G06F16/36
Inventor 鄂海红宋美娜王宁杨卓王园周康
Owner BEIJING UNIV OF POSTS & TELECOMM
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