问题描述
我有两个相关的问题需要帮助.
I have two related problems I need help with.
问题 1:如何为条件关系建模?我希望我的数据表明，当测试 CLT1 的结果"属性 =高"时，CLT1 与疾病 A 有关系.如果我采用以节点为中心的方法，我想代码可能看起来像......
Problem 1: How do I model a conditional relationship?I want my data to indicate that when test CLT1's "Result" property = "High", CLT1 has relationship to Disease A. If I take a node-centric approach, I imagine that the code might look something like...
(CLT 1 {Result: "High"}) -[:INDICATES] -> (Disease A)
此外，当CLT1的Result"属性=Low"时，CLT1与疾病B有关系
Further, when CLT1's "Result" property = "Low", CLT1 has a relationship to Disease B
(CLT 1 {Result: "Low"}) -[:INDICATES] -> (Disease B)
或者，如果我采用以关系为中心的方法，代码可能如下所示...
Alternatively, if I take a relationship-centric approach, the code might look like this...
(CLT 1) -[:INDICATES {Result: "High"}] -> (Disease A)
(CLT 1) -[:INDICATES {Result: "Low"} ] -> (Disease B)
问题 2
我有过对数据建模的经验，有 1 个节点具有唯一名称，但标签或属性不同.问题是我希望这些节点是可区分的.然而，它们与 cypher 看起来并不一样.
I have had the experience that I am modeling my data, there is 1 node with a unique name, but either different labels or properties. The thing is that I want these nodes to be distinguishable. However, they are not as they look the same to cypher.
我可以给他们多个属性、标签或不同的名称.多样性必须针对每个不同的类别……标签或属性(1+n 个标签、属性)或不同的名称.
I can either give them multiple properties, labels or different names. The diversity has to be for each different class... in labels or properties (1+n labels, properties) or in different names.
问题 2 与问题 1 相关，因为我无法对条件关系进行建模或通过其标签或属性区分同一节点 (CLT1).我可能必须通过在关系中设置可查询的条件"来解决它.
Problem 2 relates to Problem 1 in that I can't model the conditional relationship or distinguish the same node (CLT1) by its labels or properties. I may have to resolve it by making the query-able "condition" in the relationship.
我有这个权利吗?我还有其他选择吗?
DO I have this right? Do I have any other options?
推荐答案
对于你的第一个问题，我会采用以关系为中心的方法，因为这种方法代表了从结果节点到疾病的信息推断.
For your first question, I'd take the relationship-centric approach as this kind of represents the inference of the information leading from your result-node to the disease.
在建模和查询方面也应该能很好地工作.
Should work pretty well in modeling and querying too.
对于你的第二个问题.这就是节点标签的用途，因为它们代表节点可以扮演的不同角色，每个角色都具有不同的相关属性和关系.
For your second question. That's what node-labels are for they represent different roles a node can play, each with different relevant properties and relationships.
所以你可以做 MATCH (p:Person {name:"Jose"}) 并区别对待 MATCH (d:Developer {name:"Jose"})代码>.即查看其他 props 和 rels.
So you could do MATCH (p:Person {name:"Jose"}) and treat it differently from MATCH (d:Developer {name:"Jose"}). I.e look at other props and rels.
这篇关于在 neo4j v.2 (cypher) 中建模条件关系的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！