diff --git a/kcui/src/view/Graph.vue b/kcui/src/view/Graph.vue
index 9d58a8a..1ef79ac 100644
--- a/kcui/src/view/Graph.vue
+++ b/kcui/src/view/Graph.vue
@@ -350,7 +350,7 @@ export default {
         {size: 250, width: 250, height: 250, color: '30,255,0', font: 'normal 40px Arial', fontColor: '0,0,0'},
         {size: 200, width: 200, height: 200, color: '248,143,248', font: 'normal 32px Arial', fontColor: '255,255,255'},
         {size: 150, width: 150, height: 150, color: '65,154,255', font: 'normal 30px Arial', fontColor: '255,255,255'},
-        {size: 100, width: 100, height: 100, color: '0,228,255', font: 'normal 28px Arial', fontColor: '0,0,0'}
+        {size: 120, width: 120, height: 120, color: '0,228,255', font: 'normal 28px Arial', fontColor: '0,0,0'}
       ];
 
       return styles[group] || {};
diff --git a/src/main/java/com/main/woka/Common/util/RelationUtil.java b/src/main/java/com/main/woka/Common/util/RelationUtil.java
index c91b3c7..7991177 100644
--- a/src/main/java/com/main/woka/Common/util/RelationUtil.java
+++ b/src/main/java/com/main/woka/Common/util/RelationUtil.java
@@ -1,9 +1,14 @@
 package com.main.woka.Common.util;
+import edu.stanford.nlp.pipeline.*;
+import edu.stanford.nlp.ling.CoreAnnotations;
+import edu.stanford.nlp.util.CoreMap;
 
+import java.util.Properties;
 import edu.stanford.nlp.ling.CoreAnnotations;
 import edu.stanford.nlp.ling.CoreLabel;
 import edu.stanford.nlp.pipeline.Annotation;
 import edu.stanford.nlp.pipeline.StanfordCoreNLP;
+import edu.stanford.nlp.util.CoreMap;
 import edu.stanford.nlp.util.StringUtils;
 import org.springframework.stereotype.Component;
 
@@ -11,123 +16,8 @@ import java.util.*;
 
 @Component
 public class RelationUtil {
-    //标题分词
-    public String analyzeRelationship(String title1, String title2) {
-        //载入properties 文件
-        String[] args = new String[]{"-props", "CoreNLP-chinese.properties"};
-        Properties properties = StringUtils.argsToProperties(args);
-        properties.setProperty("annotators", "tokenize, ssplit, pos");
-        properties.setProperty("tokenize.language", "zh"); // 设置为中文
-
-        StanfordCoreNLP pipline = new StanfordCoreNLP(properties);
-
-        // 分析第一个短语 "低温"
-        String phrase1 = title1;
-        List<Map> ll =  analyzePhrase(pipline, phrase1);
-
-
-        //循环第一个短语的分词
-        String useTitle = "";
-
-        for(int i=0;i<ll.size();i++){
-            if (ll.get(i).get("pos").equals("NN") || ll.get(i).get("pos").equals("JJ")){
-                useTitle = useTitle+ll.get(i).get("text");
-            }else {
-                break;
-            }
-
-        }
-
-        // 分析第二个短语 "低温的影响"
-        String phrase2 = title2;
-        String  result = analyzePhrase1(pipline, phrase2, useTitle);
-        return result;
-    }
-
-    public List<Map> analyzePhrase(StanfordCoreNLP pipeline, String phrase) {
-        List<Map> list = new ArrayList<>();
-        Annotation document = new Annotation(phrase);
-        pipeline.annotate(document);
-
-        List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class);
-        for (CoreLabel token : tokens) {
-            String word = token.get(CoreAnnotations.TextAnnotation.class);
-            String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
-            System.out.println(word + ": " + pos);
-            Map mm = new HashMap();
-            mm.put("text",word);
-            mm.put("pos",pos);
-            list.add(mm);
-        }
-        return list;
-
-    }
-
-    public String analyzePhrase1(StanfordCoreNLP pipeline, String phrase,String useTitle) {
-        Annotation document = new Annotation(phrase);
-        pipeline.annotate(document);
-        String title= "";
-        String result ="";
-        Integer index = 0;
-        System.out.println(useTitle);
-
-        List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class);
-        for(int i=0;i<tokens.size();i++){
-            CoreLabel token = tokens.get(i);
-            String word = token.get(CoreAnnotations.TextAnnotation.class);
-            String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
-            title= title + word;
-            if(useTitle.equals(title)){
-                //有相同词汇有关系
-                index = i+1;
-                break;
-            }
-        }
-
-        System.out.println(index);
-        if (index==0){
-            return "属于";
-        }else {
-            for(int j=index;j<tokens.size();j++){
-                CoreLabel token1 = tokens.get(j);
-                String word1 = token1.get(CoreAnnotations.TextAnnotation.class);
-                String pos1 = token1.get(CoreAnnotations.PartOfSpeechAnnotation.class);
-                if(j==index){
-                    System.out.println(pos1);
-                    if(word1.equals("的")){
-                        System.out.println("aaaaaaaaaaaaaaaa");
-                    }else {
-                        if(pos1.equals("PU")){
-                            result = "属于";
-                            break;
-                        }
-                        if (!pos1.equals("CC") && !pos1.equals("DEG")){
-                            result= result + word1;
-                        }
-                    }
-
-
-                }else {
-                    result= result + word1;
-                }
-
-            }
-            if(result.equals("")){
-                result = "属于";
-            }
-
-            return result;
-        }
-
 
-
-    }
-
-
-
-    //将一句话分成多个词语
-    public List<String> analyzeRelationshipLong(String title1) {
-        List<String> list = new ArrayList<>();
+    public   String analyzeRelationship(String title1, String title2) {
         String[] args = new String[]{"-props", "CoreNLP-chinese.properties"};
         Properties properties = StringUtils.argsToProperties(args);
         properties.setProperty("annotators", "tokenize, ssplit, pos");
@@ -135,53 +25,38 @@ public class RelationUtil {
 
         StanfordCoreNLP pipline = new StanfordCoreNLP(properties);
 
-        // 分析第一个短语 "低温"
-        String phrase1 = title1;
-        List<Map> ll =  analyzePhrase(pipline, phrase1);
-
-        for(int i=0;i<ll.size();i++){
-            if (ll.get(i).get("pos").equals("NN")){
-                list.add(String.valueOf(ll.get(i).get("text")));
-            }
+        // 对两个标题进行NLP处理
+        CoreDocument doc1 = new CoreDocument(title1);
+        CoreDocument doc2 = new CoreDocument(title2);
+        pipline.annotate(doc1);
+        pipline.annotate(doc2);
+
+        // 提取名词短语作为核心概念
+        String concept1 = extractKeyConcept(doc1);
+        String concept2 = extractKeyConcept(doc2);
+        System.out.println(concept1);
+        System.out.println(concept2);
+        // 简单检查是否第二个标题是第一个标题的定义
+        if (title2.contains(concept1) && title2.contains("定义")) {
+            return "定义";
+        } else if (title1.contains(concept2) && title1.contains("现象")) {
+            return "实例";
         }
 
-        return list;
+        return "属于";
     }
 
-
-    public List<String> analyzeRelationshipLong1(String title1) {
-        List<String> list = new ArrayList<>();
-        String[] args = new String[]{"-props", "CoreNLP-chinese.properties"};
-        Properties properties = StringUtils.argsToProperties(args);
-        properties.setProperty("annotators", "tokenize, ssplit, pos");
-        properties.setProperty("tokenize.language", "zh"); // 设置为中文
-
-        StanfordCoreNLP pipline = new StanfordCoreNLP(properties);
-
-        // 分析第一个短语 "低温"
-        String phrase1 = title1;
-        List<Map> ll =  analyzePhrase(pipline, phrase1);
-
-        for(int i=0;i<ll.size();i++){
-            if (ll.get(i).get("pos").equals("NN")){
-                if(String.valueOf(ll.get(i).get("text")).charAt(0)!='<' && String.valueOf(ll.get(i).get("text")).charAt(0)!='&' && String.valueOf(ll.get(i).get("text")).charAt(String.valueOf(ll.get(i).get("text")).length()-1)!='t'){
-                    int hh = 0;
-                    for(int b=0;b<list.size();b++){
-                        if(list.get(b).equals(String.valueOf(ll.get(i).get("text")))){
-                            hh = 1;
-                            break;
-                        }
-                    }
-                    if (hh == 0){
-                        list.add(String.valueOf(ll.get(i).get("text")));
-                    }
-
+    private static String extractKeyConcept(CoreDocument document) {
+        StringBuilder keyConcept = new StringBuilder();
+        for (CoreSentence sentence : document.sentences()) {
+            for (int i = 0; i < sentence.tokens().size(); i++) {
+                String pos = sentence.tokens().get(i).get(CoreAnnotations.PartOfSpeechAnnotation.class);
+                if (pos.startsWith("NN")) { // 包括名词和专有名词
+                    keyConcept.append(sentence.tokens().get(i).originalText()).append(" ");
                 }
-
             }
         }
-
-        return list;
+        return keyConcept.toString().trim();
     }
-
 }
+
diff --git a/src/main/java/com/main/woka/Common/util/RelationUtil1.java b/src/main/java/com/main/woka/Common/util/RelationUtil1.java
new file mode 100644
index 0000000..df74c78
--- /dev/null
+++ b/src/main/java/com/main/woka/Common/util/RelationUtil1.java
@@ -0,0 +1,188 @@
+package com.main.woka.Common.util;
+
+import edu.stanford.nlp.ling.CoreAnnotations;
+import edu.stanford.nlp.ling.CoreLabel;
+import edu.stanford.nlp.pipeline.Annotation;
+import edu.stanford.nlp.pipeline.StanfordCoreNLP;
+import edu.stanford.nlp.util.StringUtils;
+import org.springframework.stereotype.Component;
+
+import java.util.*;
+
+
+@Component
+public class RelationUtil1 {
+    //标题分词
+    public String analyzeRelationship(String title1, String title2) {
+        //载入properties 文件
+        String[] args = new String[]{"-props", "CoreNLP-chinese.properties"};
+        Properties properties = StringUtils.argsToProperties(args);
+        properties.setProperty("annotators", "tokenize, ssplit, pos");
+        properties.setProperty("tokenize.language", "zh"); // 设置为中文
+
+        StanfordCoreNLP pipline = new StanfordCoreNLP(properties);
+
+        // 分析第一个短语 "低温"
+        String phrase1 = title1;
+        List<Map> ll =  analyzePhrase(pipline, phrase1);
+
+
+        //循环第一个短语的分词
+        String useTitle = "";
+
+        for(int i=0;i<ll.size();i++){
+            if (ll.get(i).get("pos").equals("NN") || ll.get(i).get("pos").equals("JJ")){
+                useTitle = useTitle+ll.get(i).get("text");
+            }else {
+                break;
+            }
+
+        }
+
+        // 分析第二个短语 "低温的影响"
+        String phrase2 = title2;
+        String  result = analyzePhrase1(pipline, phrase2, useTitle);
+        return result;
+    }
+
+    public List<Map> analyzePhrase(StanfordCoreNLP pipeline, String phrase) {
+        List<Map> list = new ArrayList<>();
+        Annotation document = new Annotation(phrase);
+        pipeline.annotate(document);
+
+        List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class);
+        for (CoreLabel token : tokens) {
+            String word = token.get(CoreAnnotations.TextAnnotation.class);
+            String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
+            System.out.println(word + ": " + pos);
+            Map mm = new HashMap();
+            mm.put("text",word);
+            mm.put("pos",pos);
+            list.add(mm);
+        }
+        return list;
+
+    }
+
+    public String analyzePhrase1(StanfordCoreNLP pipeline, String phrase,String useTitle) {
+        Annotation document = new Annotation(phrase);
+        pipeline.annotate(document);
+        String title= "";
+        String result ="";
+        Integer index = 0;
+        System.out.println(useTitle);
+
+        List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class);
+        for(int i=0;i<tokens.size();i++){
+            CoreLabel token = tokens.get(i);
+            String word = token.get(CoreAnnotations.TextAnnotation.class);
+            String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
+            title= title + word;
+            if(useTitle.equals(title)){
+                //有相同词汇有关系
+                index = i+1;
+                break;
+            }
+        }
+
+        System.out.println(index);
+        if (index==0){
+            return "属于";
+        }else {
+            for(int j=index;j<tokens.size();j++){
+                CoreLabel token1 = tokens.get(j);
+                String word1 = token1.get(CoreAnnotations.TextAnnotation.class);
+                String pos1 = token1.get(CoreAnnotations.PartOfSpeechAnnotation.class);
+                if(j==index){
+                    System.out.println(pos1);
+                    if(word1.equals("的")){
+                        System.out.println("aaaaaaaaaaaaaaaa");
+                    }else {
+                        if(pos1.equals("PU")){
+                            result = "属于";
+                            break;
+                        }
+                        if (!pos1.equals("CC") && !pos1.equals("DEG")){
+                            result= result + word1;
+                        }
+                    }
+
+
+                }else {
+                    result= result + word1;
+                }
+
+            }
+            if(result.equals("")){
+                result = "属于";
+            }
+
+            return result;
+        }
+
+
+
+    }
+
+
+
+    //将一句话分成多个词语
+    public List<String> analyzeRelationshipLong(String title1) {
+        List<String> list = new ArrayList<>();
+        String[] args = new String[]{"-props", "CoreNLP-chinese.properties"};
+        Properties properties = StringUtils.argsToProperties(args);
+        properties.setProperty("annotators", "tokenize, ssplit, pos");
+        properties.setProperty("tokenize.language", "zh"); // 设置为中文
+
+        StanfordCoreNLP pipline = new StanfordCoreNLP(properties);
+
+        // 分析第一个短语 "低温"
+        String phrase1 = title1;
+        List<Map> ll =  analyzePhrase(pipline, phrase1);
+
+        for(int i=0;i<ll.size();i++){
+            if (ll.get(i).get("pos").equals("NN")){
+                        list.add(String.valueOf(ll.get(i).get("text")));
+            }
+        }
+
+        return list;
+    }
+
+
+    public List<String> analyzeRelationshipLong1(String title1) {
+        List<String> list = new ArrayList<>();
+        String[] args = new String[]{"-props", "CoreNLP-chinese.properties"};
+        Properties properties = StringUtils.argsToProperties(args);
+        properties.setProperty("annotators", "tokenize, ssplit, pos");
+        properties.setProperty("tokenize.language", "zh"); // 设置为中文
+
+        StanfordCoreNLP pipline = new StanfordCoreNLP(properties);
+
+        // 分析第一个短语 "低温"
+        String phrase1 = title1;
+        List<Map> ll =  analyzePhrase(pipline, phrase1);
+
+        for(int i=0;i<ll.size();i++){
+            if (ll.get(i).get("pos").equals("NN")){
+                if(String.valueOf(ll.get(i).get("text")).charAt(0)!='<' && String.valueOf(ll.get(i).get("text")).charAt(0)!='&' && String.valueOf(ll.get(i).get("text")).charAt(String.valueOf(ll.get(i).get("text")).length()-1)!='t'){
+                    int hh = 0;
+                    for(int b=0;b<list.size();b++){
+                        if(list.get(b).equals(String.valueOf(ll.get(i).get("text")))){
+                            hh = 1;
+                            break;
+                        }
+                    }
+                    if (hh == 0){
+                        list.add(String.valueOf(ll.get(i).get("text")));
+                    }
+
+                }
+
+            }
+        }
+
+        return list;
+    }
+
+}
diff --git a/src/main/java/com/main/woka/Web/Service/impl/KcTlFileServiceImpl.java b/src/main/java/com/main/woka/Web/Service/impl/KcTlFileServiceImpl.java
index 8b98362..c469e21 100644
--- a/src/main/java/com/main/woka/Web/Service/impl/KcTlFileServiceImpl.java
+++ b/src/main/java/com/main/woka/Web/Service/impl/KcTlFileServiceImpl.java
@@ -30,6 +30,9 @@ public class KcTlFileServiceImpl {
     RelationUtil relationUtil;
 
     @Autowired
+    RelationUtil1 relationUtil1;
+
+    @Autowired
     Neo4jUtil neo4jUtil;
 
     @Autowired
@@ -86,8 +89,8 @@ public class KcTlFileServiceImpl {
             for(int i=0;i<list1.size();i++){
 
                 String target = list1.get(i).getName();
-//                String aa =  relationUtil.analyzeRelationship(source,target);
-                String aa = "属于";
+                String aa =  relationUtil1.analyzeRelationship(source,target);
+//                String aa = "属于";
 //                System.out.println(aa);
                 //获取两个的Id
                 Long TwoId = list1.get(i).getId();
@@ -110,8 +113,8 @@ public class KcTlFileServiceImpl {
             for(int i=0;i<list1.size();i++){
                 String source = list2.get(a1).getName();
                 String target = list1.get(i).getName();
-//                String aa =  relationUtil.analyzeRelationship(source,target);
-                String aa = "属于";
+                String aa =  relationUtil1.analyzeRelationship(source,target);
+//                String aa = "属于";
                 System.out.println(aa);
                 //获取两个的Id
                 Long TwoId = list1.get(i).getId();
@@ -135,8 +138,8 @@ public class KcTlFileServiceImpl {
             for(int i=0;i<list1.size();i++){
                 String source = list3.get(a2).getName();
                 String target = list1.get(i).getName();
-                String aa = "属于";
-//                String aa =  relationUtil.analyzeRelationship(source,target);
+//                String aa = "属于";
+                String aa =  relationUtil1.analyzeRelationship(source,target);
                 System.out.println(aa);
                 //获取两个的Id
                 Long TwoId = list1.get(i).getId();
@@ -161,8 +164,8 @@ public class KcTlFileServiceImpl {
             for(int i=0;i<list1.size();i++){
                 String source = list4.get(a2).getName();
                 String target = list1.get(i).getName();
-                String aa = "属于";
-//                String aa =  relationUtil.analyzeRelationship(source,target);
+//                String aa = "属于";
+                String aa =  relationUtil1.analyzeRelationship(source,target);
                 System.out.println(aa);
                 //获取两个的Id
                 Long TwoId = list1.get(i).getId();
@@ -186,8 +189,8 @@ public class KcTlFileServiceImpl {
             for(int i=0;i<list1.size();i++){
                 String source = list5.get(a2).getName();
                 String target = list1.get(i).getName();
-                String aa = "属于";
-//                String aa =  relationUtil.analyzeRelationship(source,target);
+//                String aa = "属于";
+                String aa =  relationUtil1.analyzeRelationship(source,target);
                 System.out.println(aa);
                 //获取两个的Id
                 Long TwoId = list1.get(i).getId();