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我有一个问题问你。

我想编写一个查询,检索与给定字符串“Londn”相似的值(给定相似度函数,例如Lev),以与DBPedia的谓词“RDFS:label”进行比较。例如,在输出中,我想获得“伦敦”的值。我读过一个可用的方法可能是使用 iSPARQL(“不精确的 SPARQL”),尽管它在文献中的使用并不广泛。

我可以使用 iSPARQL 还是有一些 SPARQL 方法来执行相同的操作?

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1 回答 1

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简短版 — 您可以在纯 SPARQL 中完成其中的一些操作

您可以使用这样的查询来查找名称类似于“Londn”的城市,并按(一种度量)相似度对它们进行排序。答案的其余部分解释这是如何工作的:

select ?city ?percent where {
  ?city a dbpedia-owl:City ;
        rdfs:label ?label .
  filter langMatches( lang(?label), 'en' )

  bind( replace( concat( 'x', str(?label) ), "^x[^Londn]*([L]?)[^ondn]*([o]?)[^ndn]*([n]?)[^dn]*([d]?)[^n]*([n]?).*$", '$1$2$3$4$5' ) as ?match )
  bind( xsd:float(strlen(?match))/strlen(str(?label)) as ?percent )
}
order by desc(?percent)
limit 100

SPARQL 结果

city                                  percent
----------------------------------------------
http://dbpedia.org/resource/London    0.833333
http://dbpedia.org/resource/Bonn      0.75
http://dbpedia.org/resource/Loudi     0.6
http://dbpedia.org/resource/Ladnu     0.6
http://dbpedia.org/resource/Lonar     0.6
http://dbpedia.org/resource/Longnan   0.571429
http://dbpedia.org/resource/Longyan   0.571429
http://dbpedia.org/resource/Luoding   0.571429
http://dbpedia.org/resource/Lodhran   0.571429
http://dbpedia.org/resource/Lom%C3%A9 0.5
http://dbpedia.org/resource/Andong    0.5

计算字符串相似度指标

注意:此答案的这一部分中的代码适用于 Apache Jena。实际上有一个边缘情况导致 Virtuoso (正确地)失败。最后的更新解决了这个问题。

SPARQL 中没有内置任何东西来计算字符串匹配距离,但您可以使用 SPARQL 中的正则表达式替换机制来完成其中的一些。假设您要匹配某些字符串中的序列“cat”。然后您可以使用这样的查询来确定序列“cat”中存在多少给定字符串:

select ?string ?match where {
  values ?string { "cart" "concatenate" "hat" "pot" "hop" }
  bind( replace( ?string, "^[^cat]*([c]?)[^at]*([a]?)[^t]*([t]?).*$", "$1$2$3" ) as ?match )
}
-------------------------
| string        | match |
=========================
| "cart"        | "cat" |
| "concatenate" | "cat" |
| "hat"         | "at"  |
| "pot"         | "t"   |
| "hop"         | ""    |
-------------------------

通过检查字符串和匹配的长度,您应该能够计算一些不同的相似度指标。作为使用您提到的“Londn”输入的更复杂的示例。百分比列是与输入匹配的字符串的百分比。

select ?input
       ?string
       (strlen(?match)/strlen(?string) as ?percent)
where {
  values ?string { "London" "Londn" "London Fog" "Lando" "Land Ho!"
                   "concatenate" "catnap" "hat" "cat" "chat" "chart" "port" "part" }

  values (?input ?pattern ?replacement) {
    ("cat"   "^[^cat]*([c]?)[^at]*([a]?)[^t]*([t]?).*$"                              "$1$2$3")
    ("Londn" "^[^Londn]*([L]?)[^ondn]*([o]?)[^ndn]*([n]?)[^dn]*([d]?)[^n]*([n]?).*$" "$1$2$3$4$5")
  }

  bind( replace( ?string, ?pattern, ?replacement) as ?match )
}
order by ?pattern desc(?percent)
--------------------------------------------------------
| input   | string        | percent                    |
========================================================
| "Londn" | "Londn"       | 1.0                        |
| "Londn" | "London"      | 0.833333333333333333333333 |
| "Londn" | "Lando"       | 0.6                        |
| "Londn" | "London Fog"  | 0.5                        |
| "Londn" | "Land Ho!"    | 0.375                      |
| "Londn" | "concatenate" | 0.272727272727272727272727 |
| "Londn" | "port"        | 0.25                       |
| "Londn" | "catnap"      | 0.166666666666666666666666 |
| "Londn" | "cat"         | 0.0                        |
| "Londn" | "chart"       | 0.0                        |
| "Londn" | "chat"        | 0.0                        |
| "Londn" | "hat"         | 0.0                        |
| "Londn" | "part"        | 0.0                        |
| "cat"   | "cat"         | 1.0                        |
| "cat"   | "chat"        | 0.75                       |
| "cat"   | "hat"         | 0.666666666666666666666666 |
| "cat"   | "chart"       | 0.6                        |
| "cat"   | "part"        | 0.5                        |
| "cat"   | "catnap"      | 0.5                        |
| "cat"   | "concatenate" | 0.272727272727272727272727 |
| "cat"   | "port"        | 0.25                       |
| "cat"   | "Lando"       | 0.2                        |
| "cat"   | "Land Ho!"    | 0.125                      |
| "cat"   | "Londn"       | 0.0                        |
| "cat"   | "London"      | 0.0                        |
| "cat"   | "London Fog"  | 0.0                        |
--------------------------------------------------------

更新

上面的代码在 Apache Jena 中工作,但在 Virtuoso 中失败,因为模式可以匹配空字符串。例如,如果您在 DBpedia 的端点(由 Virtuoso 提供支持)上尝试以下查询,您将收到以下错误:

select (replace( "foo", ".*", "x" ) as ?bar) where {}

Virtuoso 22023 错误基于正则表达式的 XPATH/XQuery/SPARQL replace() 函数无法搜索即使在空字符串中也可以找到的模式

这让我感到惊讶,但是replace的规范说它基于 XPath fn:replace。fn:replace 的文档说:

如果模式匹配零长度字符串,即表达式 fn:matches("", $pattern, $flags) 返回 true,则会引发错误 [ err:FORX0003 ]。但是,如果捕获的子字符串长度为零,则这不是错误。

不过,我们可以通过在模式和字符串的开头添加一个字符来解决这个问题:

select ?input
       ?string
       (strlen(?match)/strlen(?string) as ?percent)
where {
  values ?string { "London" "Londn" "London Fog" "Lando" "Land Ho!"
                   "concatenate" "catnap" "hat" "cat" "chat" "chart" "port" "part" }

  values (?input ?pattern ?replacement) {
    ("cat"   "^x[^cat]*([c]?)[^at]*([a]?)[^t]*([t]?).*$"                              "$1$2$3")
    ("Londn" "^x[^Londn]*([L]?)[^ondn]*([o]?)[^ndn]*([n]?)[^dn]*([d]?)[^n]*([n]?).*$" "$1$2$3$4$5")
  }

  bind( replace( concat('x',?string), ?pattern, ?replacement) as ?match )
}
order by ?pattern desc(?percent)
--------------------------------------------------------
| input   | string        | percent                    |
========================================================
| "Londn" | "Londn"       | 1.0                        |
| "Londn" | "London"      | 0.833333333333333333333333 |
| "Londn" | "Lando"       | 0.6                        |
| "Londn" | "London Fog"  | 0.5                        |
| "Londn" | "Land Ho!"    | 0.375                      |
| "Londn" | "concatenate" | 0.272727272727272727272727 |
| "Londn" | "port"        | 0.25                       |
| "Londn" | "catnap"      | 0.166666666666666666666666 |
| "Londn" | "cat"         | 0.0                        |
| "Londn" | "chart"       | 0.0                        |
| "Londn" | "chat"        | 0.0                        |
| "Londn" | "hat"         | 0.0                        |
| "Londn" | "part"        | 0.0                        |
| "cat"   | "cat"         | 1.0                        |
| "cat"   | "chat"        | 0.75                       |
| "cat"   | "hat"         | 0.666666666666666666666666 |
| "cat"   | "chart"       | 0.6                        |
| "cat"   | "part"        | 0.5                        |
| "cat"   | "catnap"      | 0.5                        |
| "cat"   | "concatenate" | 0.272727272727272727272727 |
| "cat"   | "port"        | 0.25                       |
| "cat"   | "Lando"       | 0.2                        |
| "cat"   | "Land Ho!"    | 0.125                      |
| "cat"   | "Londn"       | 0.0                        |
| "cat"   | "London"      | 0.0                        |
| "cat"   | "London Fog"  | 0.0                        |
--------------------------------------------------------
于 2014-07-03T15:57:13.430 回答