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[英]Conceptual Tagging of articles

I have a set of articles and i want to extract the concept from each of the article . 我有一组文章,我想从每篇文章中提取概念。 The concept may be independent ,or either linked together to form a new concept . 该概念可以是独立的,也可以链接在一起形成一个新的概念。

For this ,recently I came across various paid API , eg,HP's IDOL on DEMAND ( http://www.autonomy.com/technology/idol-functions/conceptual-search ) , Data harmony( http://www.dataharmony.com/services-view/mai-components/ ) , ALCHEMY API ( http://www.alchemyapi.com/products/features/concept-tagging/ ) ,etc . 为此,最近我遇到了各种付费API,例如HP的IDOL on DEMAND( http://www.autonomy.com/technology/idol-functions/conceptual-search ),数据协调性( http://www.dataharmony)。 com / services-view / mai-components / ),ALCHEMY API( http://www.alchemyapi.com/products/features/concept-tagging/ )等。 But I have a very huge set of documents and cant afford using the priced API .Is there any free tool which can do this ? 但是我有大量的文档,无法使用定价的API。是否有任何免费工具可以做到这一点? Also I'am aware of DBPedia data-sets , which are used for linking concepts together. 我也知道DBPedia数据集,该数据集用于将概念链接在一起。 But I haven't figured out how to use them . 但是我还没有弄清楚如何使用它们。 Any help on that would be useful . 对此的任何帮助将是有用的。

Also, I had used Stanbol NLP tools long back .I wanted to know whether this could be done thru that , or for that matter by any other tool . 另外,我很早以前就使用过Stanbol NLP工具。我想知道是否可以通过该工具来完成,或者可以通过其他任何工具来完成。

I realise that this doesn't answer your question about Stanbol, but HP's IDOL OnDemand is open to the public and is currently completely free as-in-beer. 我意识到这并不能回答您有关Stanbol的问题,但是HP的IDOL OnDemand已向公众开放,并且目前完全免费。 As you've identified it as a potential solution, now would be the time to try it out! 正如您已经将其确定为潜在的解决方案一样,现在是时候尝试一下!

Disclaimer: I work for HP and am involved with IDOL OnDemand. 免责声明:我为HP工作,并参与IDOL OnDemand。

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