The Kalpagrama social network unites people in their pursuit of knowledge.
You might ask yourself, why is this necessary when we already have Wikipedia which is universally available? The answer is simple. Wikipedia is increasingly politically aligned. It reflects a single point of view of an expert or group of experts whereas the truth is invariably multifaceted.
One important difference between Kalpagrama and Wikipedia is that in Kalpagrama, we do not speak in terms of an objective reality since we assume that it does not exist. We can only rely on our subjective perception that is unique to each and every one of us. Each person perceives reality in an individual way and therefore has his or her own idea of the truth. Truth can be examined from different angles, and this should be done by society, not by appointed experts. One important property of information is its reliability. We proceed from the fact that the reliability of information is not a property of the information itself, but a property that it acquires only in the context of the observer. Everyone has their own version of the truth. Therefore, an article in Wikipedia, in our opinion, represents little more than a subjective point of view of an anonymous expert.
With Kalpagrama, the community itself is solely responsible for the reliability of information. Each Kalpagrammer is equal - nobody's version of the truth trumps anyone else's. Kalpagrama is completely decentralized, and there is no one person at the head of it deciding what is correct or incorrect. It is the blockchain technology, and the fact that the information is checked by blockchain, that makes it reliable and thus not prone to fakes. The same transparent rules apply for everyone.
Along with the reliability of information, there is another big problem: the sheer quantity of information. It is difficult for anyone to analyze and digest such large amounts of information. This is when content aggregators (search engines and others) with their ranking and filtering algorithms come to the rescue. It is not necessary to forbid the truth. All you have to do is to make sure no one can find it.
You might think you have come across something valuable and consider yourself fortunate, but you shouldn't cheer too soon. As a rule, information is found in some kind of source, that is, videos, books, articles, etc. Such content can be very voluminous. This is another obstacle to us actually processing this knowledge. Most people will not watch an hour-long video, not even to the middle of it even if a tiny piece of wisdom in that video could potentially end up changing their life. The amount of newly created content in social networks and the way in which we try to digest it has given rise to the phenomenon of clip thinking.
With Kalpagrama, it is not the content that comes to the fore, but the meanings. Users find meanings and create semantic nodes and semantic interconnections. Others vote in order to determine just how close they are to the real intrinsic meaning. This process will be described in more detail below. Since the meanings are local, one can explore them with whatever level of immersion he or she deems appropriate. But the main thing is that you can work effectively with them. You watch the content and see the intrinsic meanings. Then, you can confirm or reject them by offering arguments in the form of alternative meanings.
Kalpagrama marks up all content on the Internet, highlights meanings and builds interconnections (links) between them. It only superficially resembles the Knowledge Graph by Google, and it has nothing to do with OWL. In the process of creating Kalpagrama, it became obvious that it would be a mistake to describe subjective reality using the method of semantic abstractions. We all perceive the world differently, and our thinking is based on much more complex structures (abstractions). Describing the world with OWL resembles reverse engineering of an alien ship in the Stone Age with the tools of that time. The result will be very different from what was expected.
The goal of Kalpagrama is to unite information from various sources but based on common meanings (that is, to integrate information based on a core understanding) and create conditions for faster access to knowledge.