< topic> 标记在AIML中用于存储上下文,以便以后的对话可以根据该上下文完成.通常,< topic> 标记用于是/否类型对话.它有助于AIML搜索在主题上下文中编写的类别.
使用< set>定义主题标签
<template> <set name = "topic"> topic-name </set> </template>
使用< topic>定义类别标签
<topic name = "topic-name"> <category> ... </category> </topic>
例如,考虑以下对话.
Human: let discuss movies Robot: Yes movies Human: Comedy movies are nice to watch Robot: Watching good movie refreshes our minds. Human: I like watching comedy Robot: I too like watching comedy.
此处机器人以"电影"为主题进行回应.
在 C > ab > bots > test > aiml 中创建topic.aiml 和在C > ab > bots > test > aimlif 目录创建topic.aiml.csv .
<?xml version = "1.0" encoding = "UTF-8"?> <aiml version = "1.0.1" encoding = "UTF-8"?> <category> <pattern>LET DISCUSS MOVIES</pattern> <template>Yes <set name = "topic">movies</set></template> </category> <topic name = "movies"> <category> <pattern> * </pattern> <template>Watching good movie refreshes our minds.</template> </category> <category> <pattern> I LIKE WATCHING COMEDY! </pattern> <template>I like comedy movies too.</template> </category> </topic> </aiml>
0,LET DISCUSS MOVIES,*,*,Yes <set name = "topic">movies</set>,topic.aiml 0,*,*,movies,Watching good movie refreshes our minds.,topic.aiml 0,I LIKE WATCHING COMEDY!,*,movies,I like comedy movies too.,topic.aiml
打开命令提示符.转到 C> ab> 并输入以下命令 :
java -cp lib/Ab.jar Main bot = test action = chat trace = false
您将看到以下输出 :
Human: let discuss movies Robot: Yes movies Human: Comedy movies are nice to watch Robot: Watching good movie refreshes our minds. Human: I like watching comedy Robot: I too like watching comedy.