Patent ID: 9110985
Filing Date: 2015-08-18
Classification: G06F

Abstract:
1. A computer implemented method comprising: grouping content nodes into one or more topically biased clusters, the content nodes comprising structured digital content and unstructured digital content, the grouping based at least in part on the connectedness of each content node member to other content node members in the same cluster; tagging the grouped content nodes in each of the one or more topically biased clusters with one or more concepts after grouping the content nodes into one or more topically biased clusters, wherein tagging the content nodes comprises: finding and scoring one or more conceptual association based on the tagged, grouped content nodes and patterns of co-occurrence of the one or more concepts in the tagged content nodes, the one or more conceptual associations indicating a relevance of the one or more associations; and generating a conceptual association graph across the topically-biased clusters based on the one or more associations between the one or more concepts.