Linked Data

Linked Data – Companies

Two companies specializing in  linking disparate data, creating useful and not obvious connections with a combination of machine  and human interaction.

Palantir: http://www.palantir.com

Quid: http://quid.com

Linked Data – Tools

LinkAnalysis writeup on Wikipedia …. en.wikipedia.org/wiki/Link_analysis

Linking recognizing named entities, dates, tagging documents …. requires meta data .

Open calais is open source tool that “automatically creates rich semantic metadata for the content you submit – in well under a second. Using natural language processing (NLP), machine learning and other methods, Calais analyzes your document and finds the entities within it. But, Calais goes well beyond classic entity identification and returns the facts and events hidden within your text as well. The tags are delivered to you; you can then incorporate them into other applications – for search, news aggregation, blogs, catalogs, you name it.”

Knowledge Graph (Data)

Freebase.com is Google’s Knowledge Graph, all of which is downloadable.  It’s ok for the obvious, for the more technical topics … Wikipedia in combination with Google search is much better, in my opinion. Here is Shawn Simister at Google I/O 2013 talking about Google’s Freebase API.

Data

Webscope by Yahoo!Labs has several very useful data sets. Access is given to academics only (with no commercial affiliation)

Dbpedia:  database extraction of structured content from Wikipedia and also described in Wikipedia.

Wikidata: a semantic database built around wikipedia that is a document oriented database and is machine and user readable and editable. Here’s an article in Techcrunch.

Glossary:

RDF Resource Description Framework: at wikipedia and also this wikipedia entry and at W3C

API conferences:

APIcon 2014, May 27-29, 2014, San Francisco, Harnessing the Power of APIs

API Strategy & Practice, March 26-27, 2014, Amsterdam, Scaling in the API Economy

 

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