“In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations.”-Neil Gross 1999
Natural systems, human systems, physical objects and the planet itself have always generated an enormous amount of data and over the past century, we’ve seen a huge emergence of global datafield but we have never been able to capture it. But now we can, because all this data has now become instrumental and as the data is all interconnected, this further increase the importance for the access of data. In effect to it the TriMet has grown the central nervous system and there are about two billion people using the internet at the moment and this number is increasing exponentially. Now a days, the connection of physical things to the internet is making the access of remote sensor data possible .It is also making it possible to control the physical world from a distance So, INTERNET OF THINGS is based on the vision that the mash-up of captured data with data retrieved from other resources including the data contained in the web, will give rise to new synergistic services that go beyond the services that can be provided by an isolated embedded system.
To make our lives smarter, Internet has given soul to innumerous things, which we know as Gadgets, Wearables and so on. These embedded computing devices are uniquely interconnected in the existing INTERNET infrastructure. Internet acts as a nervous system which is actually connecting anything with everything on this Earth. Now thinking, IS IT POSSIBLE TO ASSIGN ADDRESS TO ALL THE DEVICES IN THIS WORLD? The Answer is YES! This impossible looking task has been turned into truth by World “Ipv6” Launch. Ipv6 has the huge address space of 2pow128 which is capable to assigning power to each and every atom in this world.
Tons of data is collected from the devices all over this world. So teh next question which arises is that WHERE COULD WE STORE THIS HUGE SUM OF DATA AND HOW DO WE ANALYZE IT? Yes, you got this one, “cloud” is the solution. This is the reason why many companies have started providing some limited cloud of space for free of cost. Now, next part is ANALYTICS. This process is achieved by DIKW.
DIKW framework describes a hierarchical relationship between data, information, knowledge and wisdom. It originated from the area of science and is also a central part of the language for knowledge management. Data comes in the form of signs and signals, such as numbers, words or other signs that represent discrete facts about an objective reality. Data can be described with reference to objective metrics and thus can be verified and decisively proven to be correct or incorrect. Data is an organized string of symbols that represent empirical stimuli or perception. Data without interpretation has no meaning thus we can use automated computation to capture and process data. Information comes from the context provided to data, it is the data that has been endowed with meaning and purpose. Information is the organization of data into descriptions, representations, sentences, equations and questions, which we call as metadata. Knowledge is the synthesis of multiple sources of information over time to create conceptual frameworks, theories and axioms. Knowledge gives context through experience, values and insight. Wisdom is a state of awareness, a paradigm or set of principles, it is the ultimate context and frame of reference. Wisdom is knowing “why”, evaluation, acceptance and appreciation of why things are the way they are. Wisdom involves knowing the right thing to do, for the greater good. It requires a sense of what is right or wrong and ethical or unethical.
So DIKW defines a purported relationship between information and knowledge where lower levels comprises the material or building blocks for the higher levels. Going up the hierarchy requires synthetic reasoning that integrates and synthesizes the building blocks into more organized and generic patterns. Going down the hierarchy involves analytics, reasoning, where more generalized concepts are broken down into their constituent parts. Moving up or down the hierarchy defines a process that involves greater or less meaning, context, subjectivity and automation. Thus it defines a fundamental structure of information and knowledge.