Project Lead | Behavioural Science
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1 reviewI think this is a really great product with use cases across a very wide array of sectors. I am particularly happy about the fact that potential use cases apply to individuals, firms and even governments. For working with research teams, which is how I have spent a good number of years, this will make it so easy to map ideas and information. Plus, one can more easily draw connections with critical changes that may affect the current state of knowledge. Think of the replication crisis currently going on in academia! For industry research, news, and media, it goes without saying that being able to map information in a space where there are frequent changes, will greatly benefit end users.
In terms of improving knowledge in education, KgBase will come in very handy in sharing knowledge between what kids/students learn in formal classroom settings and integrating all of that with what they learn in less formal settings. For instance, parents can build their own knowledge maps and share verifiable information with their kids and teachers. Think of what implications this might have for the future, in terms of how much knowledge will then become available, which formal education can benefit from. Indeed, one can think of a wide variety of applications.
No doubt, there are other mind maps out there. For instance, I have been using FreeMind for a while now. It's free, OpenSource, pretty easy to adopt, and never breaks. But FreeMind isn't cloud-based. And this got me thinking. @ugwigr Did the creators of KgBase think about integrating offline resources with nodes within a network. Using the KgBase startup network as an example, let's say I built this network and I have offline resources (e.g., news articles, reports, research, URLs) that apply to "PayPal Investor 1", will I be able to do so? I think this kind of integration may help with the on-boarding process of potential users who have never worked with a cloud-based solution like this. Suffix to say that some sort of a demo account that allows potential users to experiment and try things out for themselves might help a great deal with on-boarding; something similar to what Google does.