Encyclopedic Intelligence Platform V has been posted by (Please visit the site to view this video) Social web networks, RFID and sensor networks, mobile applications and cloud systems, social networks, as Facebook, Twitter, YouTube, Slideshare, and innumerable statistics , or Big Data, offer a massive amount of data in real time, with a lot of opportunities to create, share, publish and mine data online. More and more sophisticated technologies are introduced to process large quantities of data, such as massively parallel-processing databases, data-mining grids, distributed file systems, distributed databases, cloud based applications, storage and computing resources and the Internet itself. DARPA’s Topological Data Analysis program is seeking the fundamental structure of massive data sets and the tools to exploit that knowledge. To address the "Grand Challenges" of the 21st Century, the American Innovation Strategy plans “an "exascale" supercomputer capable of a million trillion calculations per second to dramatically increase our ability to understand the world around us through simulation and slashing the time needed to design complex products such as therapeutics, advanced materials, and highly-efficient autos and aircraft. But, like raw crude, raw data in and of itself, however fast, big and varied, – without a structure and strategy and pattern around it – isn’t of any true value, both for humans and machines, and the key thing is establishing the fundamental structure of massive data sets. The sense of Big Data lies in the Big Knowledge of universal principles and fundamental laws, upper and domain ontologies, total schemas and full taxonomies, comprehensive world models, multidisciplinary sciences and global computing ontologies. It is plan that machine understanding of the world, its domains and systems, comes from Big Knowledge Synthesis, theoretical models and strategic schemas and universal reasoning algorithms, rather than Big Data Analytics. It is plain that the real or causal knowledge of the world, its complex systems and processes, Causal World Knowledge, or Big Knowledge, is the base and framework for Infinite Data Flow, or Big Data. It is plain that machine understanding of the world, its domains and systems, comes from its true modeling and comprehensive real-life simulation of complex reality, from deep computing the World, its domains, systems, processes and complex causal interactions and networks. So, the Big Thing is What is the World, and how it’s organized, represented and modeled by humans and machines? (Please visit the site to view this video)
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