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POSuggest semantic tags for short snippets of text
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  1. POSuggest semantic tags for short snippets of text
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    copied!<p>I am interested in generating a list of suggested semantic tags (via links to Freebase, Wikipedia or another system) to a user who is posting a short text snippet. I'm not looking to "understand" what the text is <em>really</em> saying, or even to automatically tag it, I just want to suggest to the user the most likely semantic tags for his/her post. My main goal is to force users to tag semantically and therefore consistently and not to write in ambiguous text strings. If there were a reasonably functional and reasonably priced tool on the market, I would use it. I have not found such a tool so I am looking in to writing my own.</p> <p>My question is first of all, if there is such a tool that I have not encountered. I've looked at Zemanta, AlchemyAPI and OpenCalais and none of them seemed to offer the service I need.</p> <p>Assuming that I'm writing my own, I'd be doing it in Python (unless there was a really compelling reason to use something else). My first guess would be to search for n-grams that match "entities" in Freebase and suggest them as tags, perhaps searching in descriptions of entities as well to get a little "smarter." If that proved insufficient, I'd read up and dip my toes into the ontological water. Since this is a <em>very</em> hard problem and I don't think that my application requires its solution, I would like to refrain from real semantic analysis as much as possible.</p> <p>Does anyone have experience working with a semantic database system and could give me some pointers regarding where to begin and what sort of pitfalls to expect?</p>
 

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