<p></p>

Solution for automatic update of Chinese word segmentation full-text index in NEO4J

Failed to implement automatic updates using the NEO4J INDEX API, converting a way of thinking to solve this problem (synchronizing updates to the corresponding full-text index when updating a node or creating a new one.)

1. Sample data

Sample Data Format Reference

2. Differences between English and Chinese Full-Text Indexes

1. Create NEO4J default index

CALL apoc.index.addAllNodes('Loc', {Loc:["description","cause","year"]})
// The following retrieval was unsuccessful:
CALL apoc.index.search('Loc', 'Loc.description:Chinese~') YIELD node RETURN node
CALL apoc.index.search('Loc', 'Loc.description:Chinese*') YIELD node RETURN node
CALL apoc.index.search('Loc', 'Loc.description:test~') YIELD node RETURN node
CALL apoc.index.search('Loc', 'Loc.description:Test Chinese~') YIELD node RETURN node

2. Delete Index

CALL apoc.index.remove('Loc')

3. Create an index that supports Chinese words

CALL zdr.index.addChineseFulltextIndex('Loc', ["description","cause","year"], 'Loc') YIELD message RETURN message
// The following retrieval was successful:
CALL apoc.index.search('Loc', 'description:Chinese~') YIELD node RETURN node
CALL apoc.index.search('Loc', 'description:Chinese*') YIELD node RETURN node
CALL apoc.index.search('Loc', 'description:test~') YIELD node RETURN node
CALL apoc.index.search('Loc', 'description:Test Chinese~') YIELD node RETURN node

3. APOC has its own English full-text indexing process (indexing can be updated automatically)

1. Add Full-Text Index

CALL apoc.index.addAllNodes('Loc', {Loc:["description","cause","year"]},{autoUpdate:true})

2. New Nodes and Attributes

CREATE (n:Loc {name:'V'})  SET n.description='Testing Chinese word segmentation, the final chapter of the duplicate show was very exciting. It is said that knowledge mapping and artificial intelligence technology were applied to that movie!',n.cause='Test the English word breaker, Mobile World Congress, the world's largest gathering for the mobile industry, ' RETURN n

3. Retrieval

Indexes can be updated automatically, but they are not friendly to Chinese retrieval, such as the following tests:

// Retrieval failed:
CALL apoc.index.search('Loc', 'Loc.cause:Test English word breakers~') YIELD node RETURN node
CALL apoc.index.search('Loc', 'Loc.description:Test Chinese word segmentation~') YIELD node RETURN node
// Retrieved successfully:
CALL apoc.index.search('Loc', 'Loc.cause:Test English word breakers*') YIELD node RETURN node
CALL apoc.index.search('Loc', 'Loc.description:Test Chinese word segmentation*') YIELD node RETURN node

4. Custom Chinese word segmentation full-text index plug-in (unsuccessful automatic index update)

The addChineseFulltextAutoIndex process succeeds in creating a full-text index to add a full-text indexing process that supports Chinese, but automatic updates are not supported for updating new attributes of nodes.

1. Add Full-Text Index

CALL zdr.index.addChineseFulltextAutoIndex('IKAnalyzer',["description","cause","year"],'Loc',{autoUpdate:'true'}) YIELD message RETURN message

2. New Nodes and Attributes

CREATE (n:Loc {name:'V'})  SET n.description='Testing Chinese word segmentation, the final chapter of the duplicate show was very exciting. It is said that knowledge mapping and artificial intelligence technology were applied to that movie!',n.cause='Test the English word breaker, Mobile World Congress, the world's largest gathering for the mobile industry, ' RETURN n

3. Retrieval

After adding a full-text search, you can retrieve:

CALL zdr.index.chineseFulltextIndexSearch('IKAnalyzer', 'description:Acridyl Aminomethane Sulfonymethoxyaniline', 100) YIELD node RETURN node

Re-index before retrieving:

CALL zdr.index.chineseFulltextIndexSearch('IKAnalyzer', 'description:test~', 100) YIELD node RETURN node

V. Label Cross-search

Add ChineseFulltextAutoIndex/addChineseFulltextIndex supports multiple tags while retrieving, using the same index name when building the index.

Tag: Loc

CALL zdr.index.addChineseFulltextAutoIndex('Loc',["description","cause","name"],'Loc',{autoUpdate:'true'}) YIELD message RETURN message

Tag: LocProvince'

CALL zdr.index.addChineseFulltextAutoIndex('Loc',["description","cause","name"],'LocProvince',{autoUpdate:'true'}) YIELD message RETURN message

Retrieve node:

CALL apoc.index.search('Loc', 'name:p~') YIELD node RETURN node

6. Custom Chinese Word Segmentation Plugin (Failed to Update Indexes Independently of Nodes)

To support single-node index updates, develop the following process.(The automatic update scheme described in the third section fails, and updates to the corresponding full-text index synchronously when updating or creating a new node.)

1. Add Full-Text Index

CALL apoc.index.remove('Loc')
CALL zdr.index.addChineseFulltextIndex('Loc',["description","cause","year"],'Loc') YIELD message RETURN message

2. Add Nodes and Attributes and Update Full-Text Index

CREATE (n:Loc {name:'V'})  SET n.description='Testing Chinese word segmentation, the final chapter of the duplicate show was very exciting. It is said that knowledge mapping and artificial intelligence technology were applied to that movie!',n.cause='Test the English word breaker, Mobile World Congress, the world's largest gathering for the mobile industry, ' RETURN n

3. Add 2 new nodes or updated attributes to the index

MATCH (n) WHERE n.name='V' WITH n CALL zdr.index.addNodeChineseFulltextIndex(n, ['description']) RETURN *

4. Retrieval

CALL zdr.index.chineseFulltextIndexSearch('Loc', 'description:Test Chinese~') YIELD node RETURN node

7. Resolve Transaction Submission Timeout

If the transaction commit timeout setting is configured, Cancel when building the index.

#********************************************************************
### Neo4j transcation timeout
###******************************************************************
#dbms.transaction.timeout=180s

Use a background script to execute the indexer:

# index.sh
#!/usr/bin/env bash
nohup /neo4j-community-3.4.9/bin/neo4j-shell -file build.cql >>indexGraph.log 2>&1 &
// build.cql
CALL zdr.index.addChineseFulltextIndex('IKAnalyzer', ['description','fullname','name','lnkurl'], 'LinkedinID') YIELD message RETURN message;

All of the above references to the NEO4J custom process

原文地址:https://programmer.ink/think/5cd0160be03d2.html

Solution for automatic update of Chinese word segmentation full-text index in NEO4J的更多相关文章

  1. 长短时间记忆的中文分词 (LSTM for Chinese Word Segmentation)

    翻译学长的一片论文:Long Short-Term Memory Neural Networks for Chinese Word Segmentation 传统的neural Model for C ...

  2. zpar使用方法之Chinese Word Segmentation

    第一步在这里: http://people.sutd.edu.sg/~yue_zhang/doc/doc/qs.html 你可以找到这句话, 所以在命令行中分别敲入 make zpar make zp ...

  3. 论文阅读及复现 | Effective Neural Solution for Multi-Criteria Word Segmentation

    主要思想 这篇文章主要是利用多个标准进行中文分词,和之前复旦的那篇文章比,它的方法更简洁,不需要复杂的结构,但比之前的方法更有效. 方法 堆叠的LSTM,最上层是CRF. 最底层是字符集的Bi-LST ...

  4. The solution for apt-get update Err 404

    最近在ubuntu 12.10上执行sudo apt-get update 命令后出现了如下错误: Ign http://extras.ubuntu.com natty/main Translatio ...

  5. Chinese word segment based on character representation learning 论文笔记

    论文名和编号 摘要/引言 相关背景和工作 论文方法/模型 实验(数据集)及 分析(一些具体数据) 未来工作/不足 是否有源码 问题 原因 解决思路 优势 基于表示学习的中文分词 编号:1001-908 ...

  6. LIST OF NOSQL DATABASES [currently 150]

    http://nosql-database.org Core NoSQL Systems: [Mostly originated out of a Web 2.0 need] Wide Column ...

  7. Pyhton开源框架(加强版)

    info:Djangourl:https://www.oschina.net/p/djangodetail: Django 是 Python 编程语言驱动的一个开源模型-视图-控制器(MVC)风格的 ...

  8. Python开源框架

    info:更多Django信息url:https://www.oschina.net/p/djangodetail: Django 是 Python 编程语言驱动的一个开源模型-视图-控制器(MVC) ...

  9. 【DeepLearning】一些资料

    记录下,有空研究. http://nlp.stanford.edu/projects/DeepLearningInNaturalLanguageProcessing.shtml http://nlp. ...

随机推荐

  1. Python 标准库、第三方库

    Python 标准库.第三方库 Python数据工具箱涵盖从数据源到数据可视化的完整流程中涉及到的常用库.函数和外部工具.其中既有Python内置函数和标准库,又有第三方库和工具.这些库可用于文件读写 ...

  2. 使用VSCODE开发UE4

    完全可行,速度很快,智能提示.代码格式化.查找Symbol等等都不比VS+Visual AssistX 差. 准备 打开编辑器的Editor Preferences>Source Code,选择 ...

  3. 二分mid的取法

    二分的两种形式: 1.范围缩小时,r = mid,l = mid + 1,取中间值时,mid = (l + r) >> 1. 2.范围缩小时,l = mid,r = mid - 1,取中间 ...

  4. java 后台封装json数据学习总结

    一.数据封装 1. List集合转换成json代码 List list = new ArrayList(); list.add( "first" ); list.add( &quo ...

  5. C++入门经典-例4.1-声明、定义和使用函数

    1:代码如下: // 4.1.cpp : 定义控制台应用程序的入口点. // #include "stdafx.h" #include <iostream> using ...

  6. python3笔记十三:python数据类型-Set集合

    一:学习内容 集合概念 集合创建 集合添加 集合插入 集合删除 集合访问 集合操作:并集.交集 二:集合概念 1.set:类似dict,是一组key的集合,不存储value 2.本质:无序和无重复元素 ...

  7. D4上午

    概率和期望DP 概率 某个事件A发生的可能性的大小,称之为事件A的概率,记作P(A). 假设某事的所有可能结果有n种,每种结果都是等概率,事件A涵盖其中的m种,那么P(A)=m/n. 例如投掷一枚骰子 ...

  8. Java中this和super的用法总结(转)

    原文地址:https://www.cnblogs.com/hasse/p/5023392.html 这几天看到类在继承时会用到this和super,这里就做了一点总结,与各位共同交流,有错误请各位指正 ...

  9. 阶段3 3.SpringMVC·_01.SpringMVC概述及入门案例_08.RequestMapping注解的作用

    用于建立请求URL和处理请求方法之间的对应关系. 增加一个testResuqestMapping方法来测试 把注解放在类上 服务器重新部署 再次重新部署 这次就可以请求到数据 了 注解放在类上:用来表 ...

  10. python虚拟环境mkvirtualenv使用

    安装virtualenvwrapper  pip install virtualenvwrapper   修改默认虚拟环境目录: 环境变量中新建: 变量名:WORKON_HOME 变量值:目录位置 ( ...