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Intelligent question and answer method and system based on tourism knowledge graph

A knowledge map and intelligent question answering technology, applied in the field of artificial intelligence, can solve problems such as high cost, expensive templates, failure to understand the semantics of search sentences, etc., to achieve the effect of clear relationship, close connection, and improved accuracy

Pending Publication Date: 2021-10-22
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In 2010, the TrueKnowledge template question answering method was proposed. It uses the known template components to match the content of the sentence and then matches the corresponding templates in order. One template can cover multiple questions and has high reusability. However, manual processing to form templates is expensive. The templates generated at the same time are highly dependent on the database
[0016] (1) Existing travel information services only stay at the stage of providing customers with autonomous network search and return a large amount of fragmented information, and cannot intelligently feed back travel-related information to users
[0017] (2) Users often need to spend a lot of time and energy to find the information they want from massive data, and the itinerary and route design are very cumbersome
[0018] (3) Existing travel query systems are often unable to accurately capture the user's search focus, but simply perform data matching and big data calculations without understanding the semantics of search sentences

Method used

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  • Intelligent question and answer method and system based on tourism knowledge graph
  • Intelligent question and answer method and system based on tourism knowledge graph
  • Intelligent question and answer method and system based on tourism knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] This embodiment provides an intelligent question-and-answer method based on the tourism knowledge map;

[0065] Such as figure 1 As shown, the intelligent question answering method based on tourism knowledge graph includes:

[0066] S101: Obtain the statement to be queried;

[0067] S102: Perform named entity recognition on the query statement to obtain the recognized entity;

[0068] S103: Mining the entity relationship of the query statement to obtain the mined entity relationship;

[0069] S104: Construct the Cypher statement of the statement to be queried according to the entity and the entity relationship;

[0070] S105: Based on the Cypher statement of the statement to be queried, search the tourism knowledge graph to obtain a corresponding answer.

[0071] Further, said S102: performing named entity recognition on the query statement to obtain the recognized entity; specifically includes:

[0072] Use the trained Bert-BiLSTM-CRF model to perform named entity...

Embodiment 2

[0178] This embodiment provides an intelligent question answering system based on the tourism knowledge map;

[0179] Intelligent question answering system based on tourism knowledge graph, including:

[0180] An acquisition module configured to: acquire the statement to be queried;

[0181] The recognition module is configured to: perform named entity recognition on the query statement to obtain the recognized entity;

[0182] The mining module is configured to: perform entity relationship mining on the query statement to obtain the mined entity relationship;

[0183] A building module, which is configured to: build a Cypher statement of the statement to be queried according to the entity and the entity relationship;

[0184] The search module is configured to: search the tourism knowledge graph based on the Cypher statement of the statement to be queried to obtain a corresponding answer.

[0185] It should be noted here that the acquisition module, identification module, ...

Embodiment 3

[0187] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

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Abstract

The invention discloses an intelligent question and answer method and a system based on a tourism knowledge graph. The method comprises the steps of obtaining a to-be-queried statement; performing named entity recognition on the to-be-queried statement to obtain an recognized entity; performing entity relationship mining on the to-be-queried statement to obtain a mined entity relationship; according to the entity and the entity relationship, constructing a Cypher statement of the to-be-queried statement; and based on the Cypher statement of the to-be-queried statement, searching the tourism knowledge graph to obtain a corresponding answer. Local tourists are helped to quickly and efficiently obtain tourism related information, and tourists are helped to plan travel routes.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to an intelligent question answering method and system based on a tourism knowledge graph. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] The current travel information service only stays at the stage of providing users with independent network search and returning massive fragmented information, but cannot intelligently feed back travel-related information to users, so that users often need to spend a lot of time and energy to find out from the massive data. To get the desired information, itinerary and route design are very cumbersome. [0004] The intelligent question answering system based on knowledge graph is one of the research hotspots in recent years. On the one hand, this part will introduce the research status of int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/335G06F16/35G06F16/36G06F16/951G06F40/205G06F40/295G06F40/30G06K9/62G06N3/04G06N3/08
CPCG06F16/3329G06F16/3344G06F16/335G06F16/35G06F16/367G06F16/951G06F40/205G06F40/295G06F40/30G06N3/084G06N3/044G06F18/24155G06F18/214
Inventor 闫伟隋远牛时龙石玉梁牛晓程学军张亮王吉华
Owner SHANDONG NORMAL UNIV
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