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C- An ideal decentralized knowledge graph would map a social graph and a knowledge graph

Last updated June 15, 2022

Authored By:: P- Rob Haisfield

Q- Should social knowledge management be thought of as social networks with really solid defaults, conventions, and incentives

A semantic knowledge graph may not be enough - as discussed in Q- What are the most efficient routes to useful cross-boundary knowledge, it is difficult to imagine a more efficient search for information than asking the right people what they think. However, C- Synthesis is hard to do with people who don’t share context with you, and we need mechanisms to bring people up to speed. When someone begins to research a new domain, one of the most difficult problems is learning what vocabulary to use to search.

In R- Interactive Intent Modeling for Exploratory Search, they describe a search process where users type in a search term, are shown the results, and then are also shown other keywords they could add to the search, grouped by semantics and frequent use by experts. This is a low-touch social interaction - the experts don’t need to do anything but publish for the system to derive keywords and groupings from their work.

A high touch social interaction would involve a search for experts in your domain of interest and then direct communication. As described in R- Graphs in OpenCog’s AtomSpace, Webstructor and Aigents for SingularityNET, there should be a communication layer. Given how C- Hypertext enables communication with high information density, using a semantic knowledge graph in conjunction with a social graph would enable people to communicate more clearly.