Re: [ontology-summit] Big Data definition

[Azamat Abdoullaev <ontopaedia@xxxxxxxxx>]

The whole issue is about Big Knowledge vs. Big Data.

It is estimated that every day 2.5 quintillion bytes of data are created, while 90% of all the data in the world today has been created just in the last 2 years.

The big data emerging industry industry is facing a huge challenge how to collect and curate, store and search, share and transfer, analyze and visualize that information.

It is plain that we need to move from "big data" to "big knowledge", employing ontological and semantic mechanisms of big data processing. Some attempts have been done by Google's Knowledge Graph, aiming to replace the whole key terms search strategy.

Our suggestions is to concentrate on Big Knowledge and Open Innovation in the context of Global Ontology, Semantic Web and Applied, Domain Ontologies:

http://www.slideshare.net/ashabook/encyclopedic-intelligence-24260973 

Azamat Abdoullaev

http://www.slideshare.net/ashabook/eis-ltd

http://www.slideshare.net/ashabook/presentations

Read more: http://www.businessinsider.com/its-time-to-turn-big-data-into-big-knowledge-2013-6#ixzz2rEptt3HY

On Thu, Jan 23, 2014 at 2:32 AM, John McClure <jmcclure@xxxxxxxxxxxxxx> wrote:

Hello,
Is the following definition for "Big Data" from Wikipedia what we're working with? Or, in the context of Semantic Web and Applied Ontologies, are we presuming "Big Semantic Data"?
Thanks for your comments.

Big data^[1][2] is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage,^[3] search, sharing, transfer, analysis,^[4] and visualization. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correlations to be found to "spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions."^[5][6][7]

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