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Construction method of knowledge graph in water affair field

A technology of domain knowledge and construction methods, applied in the direction of semantic tool creation, unstructured text data retrieval, special data processing applications, etc., can solve problems such as ambiguity, non-guidance, and rich data

Pending Publication Date: 2022-01-11
南京中禹智慧水利研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is aimed at the defects involved in the background technology. The present invention provides a method for constructing a knowledge map in the field of water affairs, aiming at establishing a communication bridge between data and knowledge in the field of water affairs to solve the problems in this field. Problems such as rich, scattered, fuzzy, and non-guiding data provide knowledge support for decision-making of water management personnel. On this basis, we can focus on the prominent problems faced by water affairs in different periods, make precise efforts, implement comprehensive policies, and continuously explore solutions suitable for my country's national conditions. good strategy

Method used

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  • Construction method of knowledge graph in water affair field
  • Construction method of knowledge graph in water affair field
  • Construction method of knowledge graph in water affair field

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Experimental program
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Effect test

Embodiment 1

[0069] A method for constructing a knowledge graph in the field of water affairs in this embodiment is characterized in that it includes the following steps:

[0070] Step 1: Verify and de-noise the data before constructing the top-level knowledge graph and extracting knowledge from the water affairs data;

[0071] Step 2: Construct the top-level conceptual model of the knowledge graph in the water domain based on the neo4j platform, and use it as the skeleton of the knowledge graph in the water domain;

[0072] Step 3: Perform entity extraction and relationship extraction from heterogeneous data sources such as industry standards, various databases, government functional department websites, hydrology and water environment monitoring websites, public websites, Internet of Things data, and remote sensing images;

[0073] Step 4: On the basis of data extraction, connect entity triplet data with the same reference to the same concept, and complete entity alignment by calculating...

Embodiment 2

[0076] A method for constructing a knowledge map in the field of water affairs in this embodiment of this embodiment is characterized in that, in the step 1, the following contents are specifically included:

[0077] (1) Clean missing values, abnormal values, duplicate values, and dirty data in the text data type;

[0078] (2) Process the data recorded in tables and pictures in non-text data, and use manual extraction or picture-to-text software to organize the above data into text data;

[0079] (3) Filter the random errors existing in the data;

[0080] (4) Organize the sentences in the text data into a usable corpus in units of single sentence phrases.

Embodiment 3

[0082] A method for constructing a knowledge map in the field of water affairs in this embodiment of this embodiment is characterized in that the step 2 specifically includes the following content:

[0083] Carry out classification and classification of water affairs objects, and divide into two subcategories under the concept of water affairs field, the concept of geographic location and the concept of object facilities;

[0084] Among them, the domain class contained in the concept of geographic location is the qualitative result of a geographical area, and the domain class contained in the concept of object facility is a water object that exists naturally or is constructed artificially;

[0085] For the concept of geographic location, it is further divided into descriptive location and functional location according to whether the geographic location it describes has an actual function;

[0086] For the concept of object facilities, it is further divided into natural objects...

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Abstract

The invention discloses a construction method of a knowledge graph in a water affair field, and the method comprises the following main steps: on the basis of analyzing related water conservancy industry standards and river and lake health related data resource types, respectively defining a river and lake health metadata type and a knowledge service mode based on directory classification; determining an ontology set of the river-lake health ontology model and determining attributes, and performing modeling of a river-lake health ontology library model according to attribute mining and establishment of a relationship between ontologies; extracting more entities and association relationships from massive heterogeneous data resources through a plurality of means such as topic mining, remote supervision and cause-and-effect relationship extraction, and further supplementing and perfecting an ontology library model: carrying out comprehensive calculation by adopting a conceptual similarity calculation algorithm based on common attributes and a similarity calculation algorithm based on an access chain set, so the entity redundancy is reduced, and knowledge fusion is realized; and semi-automatic updating of the river and lake health knowledge graph is realized by establishing a self-adaptive updating mechanism.

Description

technical field [0001] The invention belongs to the field of knowledge graphs, and in particular relates to a method for constructing knowledge graphs in the field of water affairs. Background technique [0002] With the continuous advancement of urbanization, people's requirements for urban water management are gradually increasing. Since water affairs management involves a wide range of areas and the interaction mechanism between water affairs objects and elements is complex, it is necessary to analyze and mine massive heterogeneous data in the field of water affairs to realize the scientific grasp of the water regime and environment of urban river networks and the water supply and drainage pipe network. Comprehensive management of waterlogging, effective prediction of waterlogging risks, and reasonable formulation of water dispatching decision-making schemes. However, after years of accumulation, the relevant departments of water affairs have obtained a large amount of r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/901G06F16/906
CPCG06F16/367G06F16/9024G06F16/906
Inventor 丛小飞左翔刘威风赵杏杏刘修恒
Owner 南京中禹智慧水利研究院有限公司
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