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A method, device, equipment and medium for constructing a knowledge map

A knowledge map and construction method technology, applied in the direction of semantic tool creation, unstructured text data retrieval, special data processing applications, etc., can solve problems such as difficult to meet information recognition requirements

Active Publication Date: 2022-05-17
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, when the knowledge map is used to identify information beyond text, such as pictures, audio, and video, it is difficult to meet the information identification requirements because the above information covers the complexity of entities.

Method used

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  • A method, device, equipment and medium for constructing a knowledge map
  • A method, device, equipment and medium for constructing a knowledge map
  • A method, device, equipment and medium for constructing a knowledge map

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0068] Figure 1A It is a flow chart of a method for constructing a knowledge graph provided in Embodiment 1 of the present application. This embodiment is applicable to the situation of constructing a cognitive graph of knowledge data. This method can be implemented by the device for constructing a knowledge graph in the embodiment of the present application. Execution, the device can be implemented in the form of software and / or hardware, and can generally be integrated on a knowledge map construction server. The method specifically includes the following operations:

[0069] S110. Acquire text corpus of at least one information object.

[0070] Corpus, that is, language materials; text corpus of information objects, that is, textual language materials related to information objects; text corpora of information objects can be obtained from open data in the Internet, for example, KG (KnowledgeGraph, knowledge map ) database; such as Figure 1B As shown, the KG database conta...

Embodiment 2

[0090] figure 2 It is a flowchart of a method for constructing a knowledge map in Embodiment 2 of the present application. This embodiment is embodied on the basis of the above-mentioned embodiments. In this embodiment, the smallest unit phrase and compound After the phrase, it also includes: according to the text corpus, adjusting the vocabulary in the compound phrase to expand and generate other compound phrases. Correspondingly, the method in this embodiment specifically includes the following operations:

[0091] S210. Acquire text corpus of at least one information object.

[0092] S220. Extract phrases from the text corpus; phrases include minimum unit phrases and compound phrases, the minimum unit phrases include one vocabulary, and the compound phrases include at least two vocabulary.

[0093] S230. According to the syntactic dependency tree relationship of the vocabulary in the text corpus, combine at least two vocabulary to generate a new compound phrase; and / or f...

Embodiment 3

[0106] Figure 3AIt is a flowchart of a method for constructing a knowledge graph in Embodiment 3 of the present application. This embodiment is embodied on the basis of the above-mentioned embodiments. In this embodiment, according to the vocabulary structure in the phrase, and the The sentence structure in the text corpus where the phrase is located, and the identification of the relationship between the phrases as the topic of interest includes: clustering and identification based on the text corpus of the information object, and matching with the preset parent topic in the knowledge map according to the clustering result, And determine the association relationship between the information object and the parent topic. Correspondingly, the method in this embodiment specifically includes the following operations:

[0107] S310. Acquire text corpus of at least one information object.

[0108] S320. Extract phrases from the text corpus, the phrases include a minimum unit phras...

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Abstract

The embodiment of the present application discloses a method, device, equipment and medium for constructing a knowledge graph. The method includes: acquiring text corpus of at least one information object; extracting phrases from the text corpus; identifying content phrases that focus on topics, thing entities, thing aspects, and action events from the extracted phrases, and identifying phrases between the phrases The association relationship among them; the content phrase is updated to the point element of the knowledge graph, and the association relationship is updated to the edge element of the knowledge graph. In the technical solution of the embodiment of the present application, the knowledge map of the information object is constructed by extracting the text corpus of the information object, adding multiple point elements such as the topic of concern, action events, and the side of things and corresponding edge elements, and realizing the knowledge The information expansion of existing entities in the graph also realizes the continuous mining of new entities from information objects to continuously expand and supplement the composition of knowledge graphs.

Description

technical field [0001] The embodiments of the present application relate to data processing technology, in particular to natural language processing technology, and in particular to a method, device, device and medium for constructing a knowledge graph. Background technique [0002] In the existing natural language processing (NLP) technology, in order to facilitate the identification of semantic knowledge, a database of knowledge graphs is gradually constructed. The knowledge graph includes point elements and edge elements. Point elements are used to record entities, and edge elements are used to record the relationship between entities. Entities are usually specific things in the real world. [0003] However, when the knowledge graph is used to identify information beyond text, such as pictures, audio, and video, it is difficult to meet the information identification requirements because the above information covers the complexity of entities. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36
CPCG06F16/367
Inventor 方舟冯知凡汪琦秦华鹏张扬陆超
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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