用Elasticsearch匹配段落包含索引中的句子

Question

我使用elasticsearch创建了一个程序，允许在文本中找到引用圣经的所有地方，以及提到经文的地方。我在elasticsearch中索引了圣经的所有经文，当我通过部分键入经文进行搜索时，每一经文都是一个文档，我找到了正确的结果（即使出错）如何浏览文本来找到引用经文（甚至部分）的所有地方，从而将经文的来源归因于他们？和容忍错误（我想用模糊性参数或使用同义词）

我的索引示例：

{"index":{"_index":"test","_type":"","_id":1}}
{"fields":{"year":3560,"book":"1","chapter":1,"section":1,"text":"others words consectetur adipiscing and others words"},"id":"test1","type":"add"}
{"index":{"_index":"test","_type":"","_id":2}}
{"fields":{"year":3560,"book":"2","chapter":3,"section":2,"text":"others words a sagittis nisl quam and others words"},"id":"test2","type":"add"}
{"index":{"_index":"test","_type":"","_id":3}}
{"fields":{"year":3560,"book":"3","chapter":1,"section":5,"text":"others words Aliquam ultrices auctor pharetra and others words"},"id":"test3","type":"add"}
{"index":{"_index":"test","_type":"","_id":4}}
{"fields":{"year":3560,"book":"4","chapter":2,"section":4,"text":"others words Proin ut vestibulum and others words"},"id":"test4","type":"add"}
{"index":{"_index":"test","_type":"","_id":5}}
{"fields":{"year":3560,"book":"5","chapter":1,"section":5,"text":"others words Aenean pretium tincidunt aliquet and others words"},"id":"test5","type":"add"}
{"index":{"_index":"test","_type":"","_id":6}}
{"fields":{"year":3560,"book":"6","chapter":2,"section":1,"text":"others words In vitae sagittis and others words"},"id":"test6","type":"add"}
{"index":{"_index":"test","_type":"","_id":7}}
{"fields":{"year":3560,"book":"7","chapter":7,"section":7,"text":"others words ligula laoreet pharetra and others words"},"id":"test7","type":"add"}
{"index":{"_index":"test","_type":"","_id":8}}
{"fields":{"year":3560,"book":"8","chapter":1,"section":4,"text":"others words luctus eros a pretium and others words"},"id":"test8","type":"add"}
{"index":{"_index":"test","_type":"","_id":9}}
{"fields":{"year":3560,"book":"9","chapter":1,"section":7,"text":"others words ullamcorper eu id quam and others words"},"id":"test9","type":"add"}
{"index":{"_index":"test","_type":"","_id":10}}
{"fields":{"year":3560,"book":"10","chapter":5,"section":4,"text":"others words Nullam ac enim ac lacus hendrerit and others words"},"id":"test10","type":"add"}

我需要找到索引中的段落中的所有事件，以便恢复它们的来源：

Lorem ipsum dolor sit amet,consectetur adipiscing Elit。Nulla rhoncus,Nulla vitae porta eismod,purus nisl faucibus nunc,a sagittis nisl quam id arcu.Sed sit amet arcu Sed dui auctor bibendum。前庭扫描电镜，id rutrum felis。Phasellus sagittis justo site amet justo ferciat，id scelerisque eros cursus。Quisque dapibus finibus Euismod。Proin dui urna,auctor ut gravida quis,fringilla quis Velit。Donec sed pulvinar Leo。Sed pulvinar pharetra arcu nec egestas。莫里斯·非达皮布斯迪亚姆。贝伦特斯克自由贝伦特斯克。Aliquam ultrices auctor Pharetra。Cras ullamcorper，odio sit amet aliquam convallis，magna nibh gravida nunc，sit amet volutpat elit purus eget Lectus。Pellentesque eu est a risus euismod finitiat。Duis id erat Portitor，sodales justo non，aliquet ex。Etiam tincidunt neque ut nisi commodo Auctor。Sed congue urna ac tellus scelerisque Hendrerit。大叶毛。费利乌Proin ac felis。在vitae sagittis erat，nec luctus sapien中。埃尼安·普雷蒂安·丁德特等分。enim vel ligula laoreet Pharetra的Morbi。Sed Dignissin lucts eros a pretium。前庭菌molestie molestie nisi,vitae scelerisque nibh bibendum nec.Donec laoreet sapien sed vehicula Dictum。Nullam ac enim ac lacus hendrerit tempor et vitae neque。leo pretium的Quisque,efficitur augue vitae,congue Eros。前庭前庭。Donec tristique orci erat，nec imperdiet nulla commodo UT。Nam non odio vel quam cursus ullamcorper eu id quam。Duis volutpat，nisl eu interdum mattis,augue ipsum mollis leo,eget efficitur orci augue eget leo。整数feugiat inprisis dolor ut vehicula。梅塞纳斯·奎斯·费贾特·马萨。Curabitur feugiat odio eget ligula tincidunt Sodales。Donec feugiat dapibus lectus,non maximus dui rhoncus vitae。Phasellus eget massa faucibus,tristique nibh sed,aliquet metus.

我不知道我是否说得够清楚了，但请不要犹豫地问我是否需要更精确的信息

我认为这个问题是由Aho-Corasick算法处理的，但我不知道如何将它集成到elasticsearch中

谢谢！

Answer 1

如果我能正确地理解你的问题，那么你所寻求的就是能够

“部分诗句”：质疑

并从elasticsearch中获取源文档作为响应，结果显示在其中搜索的诗句（这就是高亮显示的意思）

下面是实现相同的最简单的查询

GET <index_name>/_search
{
 "query": {
   "match": {
     "message": "partial verse"
   }
 } ,
    "highlight" : {
        "fields" : {
            "message": {}
        }
    }
}

作为回应，您将得到如下内容

"hits" : [
      {
        "_index" : "testSample",
        "_type" : "_doc",
        "_id" : "TkdvGXAB5bHyIJQ-QRow",
        "_score" : 0.2876821,
        "_source" : {
          "bookName" : "bible",
          "message" : "this is a good book"
        },
        "highlight" : {
          "message" : [
            "<em>this</em> is a good book"
          ]
        }
      }
    ]

响应是不言自明的，在不同的部分中，您可以获得更高的结果。