Knowledge graph construction method based on improved BERT model

A construction method and knowledge map technology, applied in the direction of semantic tool creation, unstructured text data retrieval, special data processing applications, etc., can solve problems such as limitations, complex risk causes, and inability to meet the high-quality development needs of enterprises, and achieve The effect of improving accuracy and improving efficiency

Inactive Publication Date: 2019-10-29
ANHUI JIYUAN SOFTWARE CO LTD +3
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Problems solved by technology

On the other hand, due to the complex causes of internal management risks and the difficulty in risk analysis and identification, enterprises currently rely mainly on expert experience, and risk analysis is mainly limited to various departments and systems, which cannot meet the high-quality development needs of enterprises
Based on the operation and management data from different sources within the en

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  • Knowledge graph construction method based on improved BERT model
  • Knowledge graph construction method based on improved BERT model
  • Knowledge graph construction method based on improved BERT model

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[0039] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for ease of description, only parts related to the invention are shown in the drawings.

[0040] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0041] Such as Figure 1-7 As shown, this embodiment discloses a method for building a knowledge map based on an improved BERT model, including the following steps:

[0042] Step S1, obtaining multi-source heterogeneous data, and storing the obtained multi-source heterogeneous data to the big dat...

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Abstract

The invention discloses a knowledge graph construction method based on an improved BERT model, and the method comprises the steps: obtaining multi-source heterogeneous data, and storing the obtained multi-source heterogeneous data to a big data platform; carrying out knowledge modeling on the acquired multi-source heterogeneous data based on the ontology; acquiring a knowledge on the basis of a BERT-BiGRU-CRF model; performing entity fusion and attribute fusion on the obtained heterogeneous data sources based on knowledge fusion of word vectors; and performing knowledge storage by adopting a graphic database. The enterprise knowledge graph is adopted to break through a traditional calculation mode, internal and external information and data in the field of enterprise operation management are deeply integrated, early warning potential risks can be more effectively mined in the later period, enterprise operation management efficiency is improved, and improvement of accuracy of subsequententerprise operation management risk intelligent diagnosis is facilitated.

Description

technical field [0001] The invention belongs to the technical field of knowledge graphs, in particular to the field of enterprise management, and in particular to a method for constructing knowledge graphs based on an improved BERT model. Background technique [0002] Knowledge graph is a new generation of semantic-based structured information organization method, which was proposed by Google in 2012. Different from the existing mainstream relational data model, the knowledge map focuses on describing the concepts and their relationships in the physical world in symbolic form. -Value pairs, entities are connected to each other through relationships to form a networked knowledge structure. At present, there are many methods for short text similarity calculation at home and abroad. For example, Professor Zhang Qi of Fudan University proposed a method of sentence similarity measurement, considering uni-gram, bi-gram and tri-gram in the sentence. These similarity results are c...

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Application Information

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IPC IPC(8): G06F16/36
CPCG06F16/367
Inventor 王维佳杨旭升徐海青徐唯耀陈是同吴立刚韩涛周伟浦正国梁翀余江斌秦婷程琳张彬彬吴小华胡心颖
Owner ANHUI JIYUAN SOFTWARE CO LTD
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