Answers.Body: <p>You can use Google</p>
  
  <p><a href="https://encrypted.google.com/search?hl=en&amp;q=when%20was%20Einstein%20born" rel="nofollow noreferrer">https://encrypted.google.com/search?hl=en&amp;q=when%20was%20Einstein%20born</a>
  and parse the response.</p>
  
  <p>Wolfram ALPHA is another candidate.</p>
  
  <p><a href="http://m.wolframalpha.com/input/?i=what+year+was+Einstein+born&amp;x=0&amp;y=0" rel="nofollow noreferrer">http://m.wolframalpha.com/input/?i=what+year+was+Einstein+born&amp;x=0&amp;y=0</a></p>
  
  <p>You can parse the returned html and see "Result:" div.</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2016-11-11T04:03:31.227Z
Answers.LastActivityDate: 2016-11-11T04:03:31.227Z
Answers.UserDisplayName: tmaj
Answers.Body: <p>You could use <a href="http://wiki.dbpedia.org/" rel="nofollow noreferrer">dbPedia</a> and/or <a href="https://www.wikidata.org/wiki/Wikidata:Main_Page" rel="nofollow noreferrer">wikidata</a>.  I think Wikidata supports <a href="https://en.wikipedia.org/wiki/SPARQL" rel="nofollow noreferrer">SPARQL</a> now, but don't quote me on that.  dbPedia definitely supports SPARQL.  </p>
  
  <p>If you're not interested in writing SPARQL queries by hand, you could use something like <a href="http://quepy.machinalis.com/" rel="nofollow noreferrer">Quepy</a>. In fact, the Quepy demo demonstrates doing natural language queries against Freebase and/or dbPedia.</p>
  
  <p>You could possibly also incorporate <a href="http://sw.opencyc.org/" rel="nofollow noreferrer">OpenCyc</a>.</p>
  
  <p>If you want to roll something of your own, you might want to read some / all of the research papers published by the team from the <a href="http://start.csail.mit.edu/index.php" rel="nofollow noreferrer">START</a> project at MIT.</p>
  
Answers.ContentLicense: CC BY-SA 3.0
Answers.CreationDate: 2016-11-10T06:48:00.777Z
Answers.LastActivityDate: 2016-12-11T05:54:52.557Z
Answers.LastEditDate: 2016-12-11T05:54:52.557Z
Answers.UserDisplayName: mindcrime
Body: <p>I was looking for an API service where I can ask it a general question (for example, <em>when was Einstein born?</em>) and retrieve an answer from the web.</p>
  
  <p>Is there any available service to do that? Have tried Watson services, but didn't work as expected.</p>
  
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2016-11-08T18:30:49.953Z
Comments.Text: https://www.wolframalpha.com/input/?i=when+was+Einstein+born
Comments.UserDisplayName: NietzscheanAI
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2016-11-09T09:24:42.147Z
Comments.Text: I need an API to use it
Comments.UserDisplayName: user3607093
Tags: <machine-learning><natural-language-processing><chat-bots><question-answering>
Title: Is there a service that can search for answers to general questions?
UserDisplayName: user3607093
ThreadText: # Is there a service that can search for answers to general questions?
  
  (Asked by: username_0 on 2016-11-08)
  
  I was looking for an API service where I can ask it a general question (for example, *when was Einstein born?*) and retrieve an answer from the web.
  
  Is there any available service to do that? Have tried Watson services, but didn't work as expected.
  
  **Tags:** machine-learning, natural-language-processing, chat-bots, question-answering
  
  > **Comments:**
  > **username_1**: https://www.wolframalpha.com/input/?i=when+was+Einstein+born  
  > **username_0**: I need an API to use it  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_2 on 2016-11-11. Score: 2
  
  You can use Google
  
  <https://encrypted.google.com/search?hl=en&q=when%20was%20Einstein%20born>
  and parse the response.
  
  Wolfram ALPHA is another candidate.
  
  <http://m.wolframalpha.com/input/?i=what+year+was+Einstein+born&x=0&y=0>
  
  You can parse the returned html and see "Result:" div.
  
  
  ---
  
  ### Answer by username_3 on 2016-11-10. Score: 1
  
  You could use [dbPedia](http://wiki.dbpedia.org/) and/or [wikidata](https://www.wikidata.org/wiki/Wikidata:Main_Page). I think Wikidata supports [SPARQL](https://en.wikipedia.org/wiki/SPARQL) now, but don't quote me on that. dbPedia definitely supports SPARQL.
  
  If you're not interested in writing SPARQL queries by hand, you could use something like [Quepy](http://quepy.machinalis.com/). In fact, the Quepy demo demonstrates doing natural language queries against Freebase and/or dbPedia.
  
  You could possibly also incorporate [OpenCyc](http://sw.opencyc.org/).
  
  If you want to roll something of your own, you might want to read some / all of the research papers published by the team from the [START](http://start.csail.mit.edu/index.php) project at MIT.
  
  
  ---
  
  