System and method for aggregating and sharing accumulated information

A system, comprising:

• an accumulated information data store, including:
• a plurality of topic nodes, each topic node having a text description of limited length and at least some of the topic nodes being associated with one or more attributes,
• wherein a particular topic node is associated as a parent topic node to one or more other child topic nodes such that the topic nodes in the accumulated information data store form at least one data tree;
• and
• an information processing engine, comprising:
• a computer processor;
• and
• a memory storage device including instructions that when executed by the computer processor enable the system to:
• (i) access information in the accumulated information data store,
• (ii) determine that a plurality of topic node text descriptions are similar and classifying them as similar topic nodes,
• (iii) select at least a part of the text description associated with one of the similar topic nodes as a favorable text description for the similar topic nodes,
• (iv) automatically identify all other topic nodes in the accumulated information data store that have the same text description as one of the similar topic nodes and merge all of the other identified topic nodes with the similar topic nodes, wherein the similar topic nodes and all of the other identified topic nodes are now classified as similar to each other and retain their associated attributes,
• (v) unify the similar topic nodes as identical topic nodes when they are currently grouped together as having the same upper tree hierarchy, and
• (vi) classify the unified topic nodes that are also similar topic nodes as a single topic node represented by the favorable text description, wherein any attribute associated with the unified topic nodes is automatically mathematically combined.

A method to summarize textual content, by way of hierarchical relations between texts, comprising:

• accessing, by a computer processor of an information processing engine, data in an accumulated information data store, the accumulated information data store including a plurality of topic nodes, each topic node having a text description of limited length, wherein a particular topic node is associated as a parent topic node to one or more other child topic nodes such that the topic nodes in the accumulated information data store form at least one data tree;
• determining that a plurality of topic node text descriptions are similar and classifying them as similar topic nodes;
• automatically identifying topic nodes in the accumulated information data store that have the same text description as one of the similar topic nodes and merge the identified topic nodes with the similar topic nodes, wherein the similar topic nodes and the identified topic nodes are now classified as similar to each other;
• unifying the similar topic nodes as identical topic nodes when they are currently grouped together as having the same upper tree hierarchy;
• determining that a plurality of topic nodes which are not similar, but have text descriptions that, when combined with each of their upper tree hierarchy's text descriptions, form a similar combination, comprise identical topic nodes;
• and
• unifying the non-similar identical topic nodes.

A non-transitory, computer-readable medium having executable instructions stored therein, the medium comprising instructions associated with a method to summarize textual content, by way of hierarchical relations between texts, comprising:

• accessing, by a computer processor of an information processing engine, data in an accumulated information data store, the accumulated information data store including a plurality of topic nodes, each topic node having a text description of limited length, wherein a particular topic node is associated as a parent topic node to one or more other child topic nodes such that the topic nodes in the accumulated information data store form at least one data tree;
• determining that a plurality of topic node text descriptions are similar and classifying them as similar topic nodes;
• automatically identifying topic nodes in the accumulated information data store that have the same text description as one of the similar topic nodes and merge the identified topic nodes with the similar topic nodes, wherein the similar topic nodes and the identified topic nodes are now classified as similar to each other;
• unifying the similar topic nodes as identical topic nodes when they are currently grouped together as having the same upper tree hierarchy;
• determining that a plurality of topic nodes which are not similar, but have text descriptions that, when combined with each of their upper tree hierarchy's text descriptions, form a similar combination, comprise identical topic nodes;
• and
• unifying the non-similar identical topic nodes.