Answers.Body: <p>This 2021 <a href="https://arxiv.org/abs/2002.00388" rel="nofollow noreferrer">survey of Knowledge Graphs</a> depicts a similar chart (appendix A), with the same 2012 final milestone.</p>
  <p>That said, a major advancement is the use deep learning to encode the knowledge graph, to extract relations and autonomously complete graphs. So we may expect soon a breaktrough in neural symbolic approaches applied to challenges such as Question Answering, Recommender Systems and Language Representation Learning.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-10-23T18:39:16.037Z
Answers.LastActivityDate: 2022-10-23T18:39:16.037Z
Answers.UserDisplayName: Rexcirus
Answers.Body: <p>Knowledge harvesting is the key progress.</p>
  <blockquote>
  <p>This formerly elusive vision has become practically viable today, made possible by
  major advances in knowledge harvesting. This comprises methods for turning noisy Internet content into crisp knowledge structures on entities and relations. Knowledge harvesting methods have enabled the automatic construction of knowledge bases (KB): collections of machine-readable facts about the real world. Today, publicly available KBs provide millions of entities (such as people, organizations, locations and creative works like books, music etc.) and billions of statements about them (such as who founded which company when and where, or which singer performed which song). Proprietary KBs deployed at major companies comprise knowledge at an even larger scale, with one or two orders of magnitude more entities.</p>
  </blockquote>
  <p>References:</p>
  <ol>
  <li><a href="https://arxiv.org/abs/2009.11564" rel="nofollow noreferrer">Machine knowledge: Creation and curation of comprehensive knowledge bases</a></li>
  </ol>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2022-11-18T03:00:10.073Z
Answers.LastActivityDate: 2022-11-18T03:00:10.073Z
Answers.UserDisplayName: Lerner Zhang
Body: <p>I watched <a href="https://vtrs.hep.com.cn/#/detail?id=b5b598ab-1036-4d30-9a6b-761b1f383d70" rel="nofollow noreferrer">this lecture</a> by <a href="http://www.tjudb.cn/dbgroup/index.php/Xin_Wang" rel="nofollow noreferrer">professor Xin Wang</a>, and a picture in the beginning interested me:</p>
  <p><a href="https://i.sstatic.net/Jn543.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Jn543.png" alt="enter image description here" /></a></p>
  <p>The confusing thing is that this lecture was delivered on Sep. 19, 2022, but it seems from the diagram above that over the last ten years knowledge graph has made no progress. The diagram is still what I was shown when I was a student in 2015 or 2016.</p>
  <p>Since I cannot get a hold of this professor, I googled <a href="https://www.google.com/search?q=progress+of+knowledge+graph&amp;newwindow=1&amp;sxsrf=ALiCzsYYRVPMr6zHh9QDhiBigJq26qkEOg:1666073559215&amp;source=lnms&amp;tbm=isch&amp;sa=X&amp;ved=2ahUKEwjho6rVj-n6AhXWQPUHHaxTDYIQ_AUoAXoECAIQAw&amp;biw=1280&amp;bih=629&amp;dpr=1.5#imgrc=jh1JJTQuE0HhVM" rel="nofollow noreferrer">knowledge graph progress pictures</a> but found that no single one mentioned any big events after 2012.</p>
  <p>What happened over the last decade to knowledge graph? Any big events?</p>
  
Tags: <history><knowledge-representation><knowledge-graph><knowledge-base><commonsense-knowledge>
Title: Knowledge graph progress from 2012 to 2022?
UserDisplayName: Lerner Zhang
ThreadText: # Knowledge graph progress from 2012 to 2022?
  
  (Asked by: username_0 on 2022-10-18)
  
  I watched [this lecture](https://vtrs.hep.com.cn/#/detail?id=b5b598ab-1036-4d30-9a6b-761b1f383d70) by [professor Xin Wang](http://www.tjudb.cn/dbgroup/index.php/Xin_Wang), and a picture in the beginning interested me:
  
  [![enter image description here](https://i.sstatic.net/Jn543.png)](https://i.sstatic.net/Jn543.png)
  
  The confusing thing is that this lecture was delivered on Sep. 19, 2022, but it seems from the diagram above that over the last ten years knowledge graph has made no progress. The diagram is still what I was shown when I was a student in 2015 or 2016.
  
  Since I cannot get a hold of this professor, I googled [knowledge graph progress pictures](https://www.google.com/search?q=progress+of+knowledge+graph&newwindow=1&sxsrf=ALiCzsYYRVPMr6zHh9QDhiBigJq26qkEOg:1666073559215&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjho6rVj-n6AhXWQPUHHaxTDYIQ_AUoAXoECAIQAw&biw=1280&bih=629&dpr=1.5#imgrc=jh1JJTQuE0HhVM) but found that no single one mentioned any big events after 2012.
  
  What happened over the last decade to knowledge graph? Any big events?
  
  **Tags:** history, knowledge-representation, knowledge-graph, knowledge-base, commonsense-knowledge
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2022-10-23. Score: 1
  
  This 2021 [survey of Knowledge Graphs](https://arxiv.org/abs/2002.00388) depicts a similar chart (appendix A), with the same 2012 final milestone.
  
  That said, a major advancement is the use deep learning to encode the knowledge graph, to extract relations and autonomously complete graphs. So we may expect soon a breaktrough in neural symbolic approaches applied to challenges such as Question Answering, Recommender Systems and Language Representation Learning.
  
  
  ---
  
  ### Answer by username_0 on 2022-11-18. Score: 0
  
  Knowledge harvesting is the key progress.
  
  > This formerly elusive vision has become practically viable today, made possible by
  > major advances in knowledge harvesting. This comprises methods for turning noisy Internet content into crisp knowledge structures on entities and relations. Knowledge harvesting methods have enabled the automatic construction of knowledge bases (KB): collections of machine-readable facts about the real world. Today, publicly available KBs provide millions of entities (such as people, organizations, locations and creative works like books, music etc.) and billions of statements about them (such as who founded which company when and where, or which singer performed which song). Proprietary KBs deployed at major companies comprise knowledge at an even larger scale, with one or two orders of magnitude more entities.
  
  References:
  
  1. [Machine knowledge: Creation and curation of comprehensive knowledge bases](https://arxiv.org/abs/2009.11564)
  
  
  ---
  
  