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Human-object-space interaction model construction method based on knowledge graph

A technology of knowledge graph and space interaction, applied in data processing applications, instruments, computing, etc., can solve problems such as inability to integrate heterogeneous data, difficulty in extracting multi-source information, and inability to interact between people, objects and spaces, and achieve strong application value. and scientific research value, strong robustness and wide applicability

Active Publication Date: 2022-07-22
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005]The purpose of this invention is to provide a multi-source heterogeneous data interaction model construction method, which can effectively overcome the poor versatility of sensing technology and complex entity relationships in the smart community environment. Difficulty in extracting multi-source information, inability to integrate heterogeneous data, inability to interact with people-things-space and other technical problems, provide method support for monitoring and early warning of dangerous events in smart communities and community environment situation awareness

Method used

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  • Human-object-space interaction model construction method based on knowledge graph
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  • Human-object-space interaction model construction method based on knowledge graph

Examples

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Embodiment 1

[0047] see figure 1 , a method for building a human-object-space interaction model based on knowledge graph, including the following steps:

[0048] S1: Obtain information from a large number of active and passive sensing devices and build a knowledge base;

[0049] S2: Integrate the perception information in the knowledge base constructed in S1 to form entity-relation-entity structured data, and construct a general knowledge graph conceptual model with entity-relationship attributes;

[0050] S3: Materialize the human-object-space information in different geographical locations, build a multi-layer interactive knowledge graph entity model, and maintain their respective blockchains;

[0051] S4: Use blockchain cross-chain fusion technology to form a traceable multi-layer knowledge graph model;

[0052] S5: For multiple sharded knowledge graphs organized by geographic locations in the bottom layer, similar shards are aggregated through feature clustering to generate knowledge...

Embodiment 2

[0056] What is different based on Example 1 is:

[0057] The present invention provides a method for building a human-object-space interaction model based on a knowledge graph. The model building schematic diagram of a specific embodiment of the present invention is as follows: Image 6 As shown, the specific implementation process includes:

[0058] S101: In the smart community environment, there are many complex signals such as WiFi, camera, Bluetooth, ZigBee, RFID, etc., from the Internet, smart communities, edge computing devices and edge sensors deployed in the community and other data sources to obtain entity information and entities. Direct relationship; many perceptual information collected, such as temperature information, video information, license plate information, user information, etc., may be in the form of structured, unstructured, and semi-structured, and then technical means are used to extract knowledge from the original data. elements, and store them in th...

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Abstract

The invention discloses a human-object-space interaction model construction method based on a knowledge graph, and belongs to the technical field of knowledge graph construction and smart communities. The invention discloses a human-object-space interaction model construction method based on a knowledge graph, and the method comprises the following steps: S1, obtaining information from a large number of active and passive sensing devices, and constructing a knowledge base; s2, fusing perceptual information in the knowledge base constructed in the S1 to form entity-relation-entity structural data, and constructing a general knowledge graph conceptual model with entity-relation attributes; the invention provides a human-object-space interaction model construction method based on a knowledge graph, which can effectively solve the technical problems of difficulty in multi-source information extraction, incapability of fusing heterogeneous data, incapability of human-object-space interaction and the like caused by poor perceptual technology universality and complex entity relationship in an intelligent community environment. And a method support is provided for dangerous event monitoring and early warning and community environment situation awareness in the smart community.

Description

technical field [0001] The invention belongs to the technical field of knowledge graph construction and smart community, and relates to multi-source heterogeneous information abstraction technology, fragmentation fusion technology and graph-based complex relation network expression, in particular to a knowledge graph-based human-object-space interaction model construction method. Background technique [0002] Smart community is a new community model in the era of the Internet of Everything; smart community is to apply 5G, edge computing, cloud computing and various sensing technologies to the infrastructure of the community, and integrate all smart devices through the Internet and the Internet of Things , so that the community can "see", "listen", "recognize", and "predict", and create a safe, comfortable, convenient and intelligent living environment for community residents, so as to form intelligent equipment and life information. It is a new community model that is simpl...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06F16/9537G06Q50/00
CPCG06F16/9536G06F16/9537G06Q50/01G06N5/022G06N20/00
Inventor 刘秀龙马俊成高雪松曲雯毓
Owner TIANJIN UNIV
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