Answers.Body: <p>In this case, you have an ontology and want to learn the ontology. There are many researches in this topic that you can find. However, the data could be the most challenging part. Some of the researches: </p>
  
  <ul>
  <li><a href="https://ieeexplore.ieee.org/abstract/document/920602" rel="nofollow noreferrer">Ontology learning for the Semantic Web</a> </li>
  <li><a href="https://link.springer.com/chapter/10.1007/978-3-540-24750-0_9" rel="nofollow noreferrer">Ontology Learning</a></li>
  </ul>
  
  <p>Also, as these are some frameworks to ontology learning, you can use deep networks such as RNN‌ to learn the task.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-11-30T00:46:01.563Z
Answers.Text: +1 but it does not seem related to my question though. My questions was it is implementable in deep convolutional networks
Answers.UserDisplayName: Wolphram jonny
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-10-15T09:27:35.840Z
Answers.LastActivityDate: 2019-10-15T09:27:35.840Z
Answers.UserDisplayName: OmG
Body: <p>We usually categorize objects in a hierarchy of classes. Let us say crow vs bird. In addition, classes can be "messy", for instance a crow can be also a predator, but not all birds are predators. </p>
  
  <p>My question is, can deep networks represent these hierarchies easily? Has anybody studied that? (I could not find anything at all).</p>
  
Tags: <classification><deep-neural-networks><object-recognition>
Title: Are there deep networks that can differentiate object class from individual object?
UserDisplayName: Wolphram jonny
ThreadText: # Are there deep networks that can differentiate object class from individual object?
  
  (Asked by: username_0 on 2019-10-15)
  
  We usually categorize objects in a hierarchy of classes. Let us say crow vs bird. In addition, classes can be "messy", for instance a crow can be also a predator, but not all birds are predators.
  
  My question is, can deep networks represent these hierarchies easily? Has anybody studied that? (I could not find anything at all).
  
  **Tags:** classification, deep-neural-networks, object-recognition
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2019-10-15. Score: 2
  
  In this case, you have an ontology and want to learn the ontology. There are many researches in this topic that you can find. However, the data could be the most challenging part. Some of the researches:
  
  * [Ontology learning for the Semantic Web](https://ieeexplore.ieee.org/abstract/document/920602)
  * [Ontology Learning](https://link.springer.com/chapter/10.1007/978-3-540-24750-0_9)
  
  Also, as these are some frameworks to ontology learning, you can use deep networks such as RNN‌ to learn the task.
  
  > **Comments:**
  > **username_0**: +1 but it does not seem related to my question though. My questions was it is implementable in deep convolutional networks  
  
  ---
  
  