Abstract: Method and apparatus for creating an electronic database of disambiguated entity mentions and relations from a corpus of electronic documents. The invention automatically extracts from the corpus of electronic documents mentions about entities (e.g., references to people, organizations or places), parses the entity mentions into “mention objects,” and executes a series of grouping, comparison and hierarchical fuzzy object clustering algorithms to cluster together in an electronic database all of the mention objects referring to the same entity and all of the mention objects (e.g. “people”) associated with each other by a relationship (e.g., “co-authors” or “family members”).

Abstract: Method and apparatus for creating an electronic database of disambiguated entity mentions and relations from a corpus of electronic documents. The invention automatically extracts from the corpus of electronic documents mentions about entities (e.g., references to people, organizations or places), parses the entity mentions into “mention objects,” and executes a series of grouping, comparison and hierarchical fuzzy object clustering algorithms to cluster together in an electronic database all of the mention objects referring to the same entity and all of the mention objects (e.g. “people”) associated with each other by a relationship (e.g., “co-authors” or “family members”).

Abstract: Abstract of the Disclosure An innovation is marketed to members in a target community. An influence network is determined for the members in the target community, and the opinion leaders are identified from among the members using the influence network. The innovation is presented to the opinion leaders, and assistance is provided with the dispersion of evaluations of the innovation from opinion leaders to the members in the target community by using the influence network.

Abstract: An innovation is marketed to members in a target community. An influence network is determined for the members in the target community, and the opinion leaders are identified from among the members using the influence network. The innovation is presented to the opinion leaders, and assistance is provided with the dispersion of evaluations of the innovation from opinion leaders to the members in the target community by using the influence network.

Abstract: An innovation is marketed to members in a target community. An influence network is determined for the members in the target community and maps relationships between members in the target community. Tabulated attributes of the target community are determined. Communities of practice are determined from the influence network and the tabulated attributes, and each community of practice has one leader. The innovation is presented to the leaders of the communities of practice, and assistance is provided with dispersion of evaluations of the innovation from leaders to the members in the communities of practice.