Adding context to Concept Trees

Abstract

Concept Trees are a type of database that can organise arbitrary textual information using a very simple rule. Each tree ideally represents a single cohesive concept and the trees can link with each other for navigation and semantic purposes. The trees are therefore a type of semantic network and would benefit from having a consistent level of context for each of the nodes. The tree nodes have a mathematical basis allowing for a consistent build process. These would represent nouns or verbs in a text sentence, for example. A basic test on text documents shows that the tree structure could be inherent in natural language. New to the design can then be lists of descriptive elements for each of the nodes. The descriptors can also be weighted, but do not have to follow the strict counting rule of the tree nodes. With the new descriptive layers, a much richer type of knowledge can be achieved and a consistent method for adding context is suggested. It is also suggested to use the linking structure of the licas system as a basis for the context links. The mathematical model is extended further and to finish, a query language is suggested for practical applications.

New ideas for brain modelling 3

“…There are at least two different modules involved, where the higher-level cognitive processes require a different learning strategy to the lower level memory of objects and object relations. Following the design in [6] and [7], these object memories make use of neural ensembles and also hierarchies, represented by Concept Trees [5] [11]. These are built by presenting to the network, parts of an already known ontology [15], where the network also knows the sub-concept relation for each element in the ontology.…”

“…Place the egg in the pot and the pot on the cooker heat and wait for it to boil. 5. Monitor the heat level.…”

“…The ReN is a converging structure of only 2 levels and the ensemble-hierarchy was originally designed with a diverging Concept Tree [11][6] hierarchy part. In fact, the second Concept Tree paper [6] was changed over some versions, where there was confusion as to whether the structure would diverge from the top to the bottom or the bottom to the top. The search process can also be in either direction and so it may be preferable to give priority to finding the concept as part of the search.…”