WordNet词网研究7——之JWS（Java Wordnet Similarity）语义相似度计算

JWS——Java WordNet Similarity是由University Of Sussex的David Hope等开发的基于java与WordNet的语义相似度计算开源项目。其中实现了许多经典的语义相似度算法。是一款值得研究的语义相似度计算开源工具。

 

JWS是WordNet::Similarity（一个Perl版的WordNet相似度比较包）的Java实现版本，想用Java实现用WordNet比较词语相似度的朋友有福拉！！简述使用步骤：

 

1、下载WordNet（Win、2.1版）：http://wordnet.princeton.edu/wordnet/download/；

 

2、下载WordNet-InfoContent（2.1版）：http://wn-similarity.sourceforge.net/ 或http://www.d.umn.edu/~tpederse/Data/；

 

3、下载JWS（现有版本：beta.11.01）：http://www.cogs.susx.ac.uk/users/drh21/；

 

4、安装WordNet；

 

5、解压WordNet-InfoContent-2.1，并将文件夹拷贝至WordNet目录D:/Program Files/WordNet/2.1下；

 

6、将JWS中的两个jar包：edu.mit.jwi_2.1.4.jar和edu.sussex.nlp.jws.beta.11.jar拷贝至Java的lib目录下，并设置环境变量；

 

7、在Eclipse下运行JWS中的例子程序：TestExamples

 

     说明：由于下载的WordNet是2.1版本的，所以程序中有几处需要修改

 

     String dir = "C:/Program Files/WordNet";    //这里指定WordNet的安装路径，按照你实际安装的路径加以修改

 

     JWS ws = new JWS(dir, "3.0");                   //把3.0改为2.1即可

程序实例：

 

 1 import java.util.TreeMap;
 2 import java.text.*;
 3 import edu.sussex.nlp.jws.*;
 4 
 5 
 6 // 'TestExamples': how to use Java WordNet::Similarity
 7 // David Hope, 2008
 8 public class TestExamples
 9 {
10      public static void main(String[] args)
11     {
12 
13 // 1. SET UP:
14 //   Let's make it easy for the user. So, rather than set pointers in 'Environment Variables' etc. let's allow the user to define exactly where they have put WordNet(s)
15         String dir = "E:/Commonly Application/WordNet/";
16 //   That is, you may have version 3.0 sitting in the above directory e.g. C:/Program Files/WordNet/3.0/dict
17 //   The corresponding IC files folder should be in this same directory e.g. C:/Program Files/WordNet/3.0/WordNet-InfoContent-3.0
18 
19 //   Option 1  (Perl default): specify the version of WordNet you want to use (assuming that you have a copy of it) and use the default IC file [ic-semcor.dat]
20         JWS    ws = new JWS(dir, "2.1");
21 //   Option 2 : specify the version of WordNet you want to use and the particular IC file that you wish to apply
22         //JWS ws = new JWS(dir, "3.0", "ic-bnc-resnik-add1.dat");
23 
24 
25 // 2. EXAMPLES OF USE:
26 
27 // 2.1 [JIANG & CONRATH MEASURE]
28         JiangAndConrath jcn = ws.getJiangAndConrath();
29         //System.out.println("Jiang & Conrath\n");
30 // all senses
31         TreeMap<String, Double>     scores1    =    jcn.jcn("apple", "banana", "n");            // all senses
32         //TreeMap<String, Double>     scores1    =    jcn.jcn("apple", 1, "banana", "n");     // fixed;all
33         //TreeMap<String, Double>     scores1    =    jcn.jcn("apple", "banana", 2, "n");     // all;fixed
34         for(String s : scores1.keySet())
35             System.out.println(s + "\t" + scores1.get(s));
36 // specific senses
37         //System.out.println("\nspecific pair\t=\t" + jcn.jcn("apple", 1, "banana", 1, "n") + "\n");
38 // max.
39         ///System.out.println("\nhighest score\t=\t" + jcn.max("java", "best", "n") + "\n\n\n");
40 
41 //*/
42 // 2.2 [LIN MEASURE]
43         Lin lin = ws.getLin();
44         ///System.out.println("Lin\n");
45 // all senses
46         TreeMap<String, Double>     scores2    =    lin.lin("like", "love", "n");            // all senses
47         //TreeMap<String, Double>     scores2    =    lin.lin("kid", "child", "n");     // fixed;all
48         //TreeMap<String, Double>     scores2    =    lin.lin("apple", "banana", 2, "n");     // all;fixed
49         //for(String s : scores2.keySet())
50             //System.out.println(s + "\t" + scores2.get(s));
51 // specific senses
52         System.out.println("\nspecific pair\t=\t" + lin.lin("like", 1, "love", 1, "n") + "\n");
53 // max.
54         System.out.println("\nhighest score\t=\t" + lin.max("From","date","n") + "\n\n\n");
55 
56 // ... and so on for any other measure
57     }
58 } // eof

 

 

简单实现基于JWS的语义相似度计算程序，例如：

 1 import edu.sussex.nlp.jws.JWS;
 2 import edu.sussex.nlp.jws.Lin;
 3 
 4 
 5 public class Similar {
 6 
 7     private String str1;
 8     private String str2;
 9     private String dir = "E:/Commonly Application/WordNet/";
10     private JWS    ws = new JWS(dir, "2.1");
11     
12     public Similar(String str1,String str2){
13         this.str1=str1;
14         this.str2=str2;
15     }
16     
17     public double getSimilarity(){
18         String[] strs1 = splitString(str1);
19         String[] strs2 = splitString(str2);
20         double sum = 0.0;
21         for(String s1 : strs1){
22             for(String s2: strs2){
23                 double sc= maxScoreOfLin(s1,s2);
24                 sum+= sc;
25                 System.out.println("当前计算: "+s1+" VS "+s2+" 的相似度为:"+sc);
26             }
27         }
28         double Similarity = sum /(strs1.length * strs2.length);
29         sum=0;
30         return Similarity;
31     }
32     
33     private String[] splitString(String str){
34         String[] ret = str.split(" ");
35         return ret;
36     }
37     
38     private double maxScoreOfLin(String str1,String str2){
39         Lin lin = ws.getLin();
40         double sc = lin.max(str1, str2, "n");
41         if(sc==0){
42             sc = lin.max(str1, str2, "v");
43         }
44         return sc;
45     }
46     
47     public static void main(String args[]){
48         String s1="departure";
49         String s2="leaving from";
50         Similar sm= new Similar(s1, s2);
51         System.out.println(sm.getSimilarity());
52     }
53 }

当时碰到想基于protege+Wordnet来处理语义分析这块，所以接触到JWS，但没有太多的时间去深入研究，是一个非常的遗憾，希望有研究的朋友，发个Blog Url，大家参考参考！