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Construction method of intelligent fishery question-answering robot based on knowledge graph

A technology of knowledge map and construction method, which is applied in the field of construction of intelligent fishery question answering robot, can solve problems such as blanks, and achieve the effect of improving output rate, accuracy and production efficiency

Pending Publication Date: 2020-11-20
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps solve issues such as difficult access or lack of accurate documentation when searching out seafood resources from an online search engine like Yahoo!

Problems solved by technology

This patented text discusses how conventional methods used by waterfarmers involve long waiting periods before getting up to collect data related to their own crops. Additionally, these techniques lack flexibility due to limited access at different times throughout the entire lifecycle of the crop being cultivated.

Method used

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  • Construction method of intelligent fishery question-answering robot based on knowledge graph

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Embodiment

[0041] Step 1: Refer to the existing semantic division of other fields to establish the upper structure of knowledge modeling;

[0042] Step 2: Through the study of semi-structured and unstructured data in the fishery field, restore the business model in the fishery production process, and strip out the semantic types and semantic relations of fishery knowledge and extract the object ontology;

[0043] Step 3: Extract the ontology attributes and instances of the corresponding object ontology by crawling structured data;

[0044] Step 4: The structured data crawled in the S03 stage and the data from the third-party knowledge base are knowledge-fused, through entity disambiguation, referential resolution, entity types are reduced, graph sparseness is reduced, and knowledge merged with the object ontology. Get knowledge graph;

[0045] Step 5: By embedding an intelligent fishery question answering robot using AIML technology in the Web page, and setting a specific sentence type to link i...

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Abstract

The invention discloses an intelligent fishery question-answering robot construction method based on a knowledge graph, and the method comprises the steps: carrying out the building of a knowledge modeling structure through referring to the semantic division of other fields at present; by researching semi-structured and non-structured data in the fishery field, restoring a service mode in the fishery production process, stripping semantic types and semantic relations of fishery knowledge, and extracting an object body; extracting ontology attributes and examples of the corresponding object ontology from the crawled structured data; and performing knowledge fusion on the crawled structured data and data from a third-party knowledge base, and finally obtaining a complete construction methodof the intelligent fishery question-answering robot based on the knowledge graph by embedding the intelligent fishery question-answering robot using the AIML technology into a Web page. According to the invention, the construction integrity rate of a knowledge concept system in the field is improved, a more convenient way is provided for farmers to obtain required information, and the production efficiency can be improved.

Description

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Claims

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Application Information

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Owner SHANGHAI OCEAN UNIV
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