Hi All!

I want to build a knowledge tree for all man kind! Kind of a curriculum 
suggesting website for wikipedia and all the emerging MOOCs. But i ran into 
the following problem.

The functionality would look like that you can specify a group of nodes 
representing your knowledge, and employers can specify another group of 
nodes representing their needs for knowledge. The system would track the 
average costs (like in hours of studying) of getting a new knowledge based 
on what you already know. So the question is, how we define some kind of 
'esoteric' shortest path between two sets of knowledges.

I guess there are two final nodes: the employee and the company. First i 
take Dijkstra and learn everything on the cheapest path to get the job. At 
least hipothetically: i mark the unkown knowledge's nodes as known. Then i 
run a second Dijkstra and mark again... I repeat this as long as i get 
enough knowledge marked from the company's wishlist: let's say they are in 
need of ten fields of knowledge, but i only need to know any 3 of those to 
get some work. All this is needed because if i have several nodes depending 
on a previous node that still needs to be learned, the price of learning 
this previous node, on my current basis, should only be counted once.

Now my problem is, that in order to do this i have to access the database 
every time i run a query for a person, and worst of all, i can only have 
one "fakely-marked-as-learned" property on every knowledge, and at the end 
i have to clear them all, in order to do another processing for another 
user. This is very slow!!!

Does anybody please have a better idea for this problem, with the current 
version of Neo4J? A better algorithm maybe, than Dijkstra ran several times 
or just a better solution than storing the fake marks in the database? *Maybe 
copying portions of the database for every user?* Etc...

Is there a chance to develop this functionality into the core API? Is 
anybody out there interested?

Best wishes,
   Fekete, Balazs Valer
Europe, Hungary

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