Abstract: A relationship graph system disclosed herein provides a system and method for inferring relationships between various entities based on analysis of a plurality of observations including elements related to two different entities. The method comprises representing each of the plurality of observations using a relationship edge between two nodes, each of the two nodes representing an element related to one of the two different entities, assigning a score to each relationship edge based on metadata related to the observation represented by the relationship edge, combining a plurality of relationship edges between the elements related to the two different entities to generate an aggregate relationship edge between the two different entities, and inferring a relationship between the two different entities based on length of the aggregate relationship edge between the two different entities.

Abstract: A relationship graph system disclosed herein provides a system and method for inferring relationships between various entities based on analysis of a plurality of observations including elements related to two different entities. The method comprises representing each of the plurality of observations using a relationship edge between two nodes, each of the two nodes representing an element related to one of the two different entities, assigning a score to each relationship edge based on metadata related to the observation represented by the relationship edge, combining a plurality of relationship edges between the elements related to the two different entities to generate an aggregate relationship edge between the two different entities, and inferring a relationship between the two different entities based on length of the aggregate relationship edge between the two different entities.

Abstract: A relationship graph system disclosed herein provides a system and method for inferring relationships between various entities based on analysis of a plurality of observations including elements related to two different entities. The method comprises representing each of the plurality of observations using a relationship edge between two nodes, each of the two nodes representing an element related to one of the two different entities, assigning a score to each relationship edge based on metadata related to the observation represented by the relationship edge, combining a plurality of relationship edges between the elements related to the two different entities to generate an aggregate relationship edge between the two different entities, and inferring a relationship between the two different entities based on length of the aggregate relationship edge between the two different entities.

Abstract: A relationship graph system disclosed herein provides a system and method for inferring relationships between various entities based on analysis of a plurality of observations including elements related to two different entities. The method comprises representing each of the plurality of observations using a relationship edge between two nodes, each of the two nodes representing an element related to one of the two different entities, assigning a score to each relationship edge based on metadata related to the observation represented by the relationship edge, combining a plurality of relationship edges between the elements related to the two different entities to generate an aggregate relationship edge between the two different entities, and inferring a relationship between the two different entities based on length of the aggregate relationship edge between the two different entities.

Abstract: An information cataloging system disclosed herein provides a system and method for inferring relationships between various elements, such as e-mail address, phone number, etc., of various observations, such as business cards, observations obtained from the Internet, etc. The method comprises representing various elements, such as name, e-mail address, etc., using nodes, representing the relations between the various elements using edges connecting these nodes, computing a distance between two disparate nodes, wherein each of the two disparate nodes represent an element related to the entity. An implementation of the information cataloging system disclosed herein also provides a method of calculating noise and signal to noise ratio attached to various nodes and using such noise information in calculating confidence level of relationships between various elements.

Abstract: An information cataloging system disclosed herein provides a system and method for inferring relationships between various elements, such as e-mail address, phone number, etc., of various observations, such as business cards, observations obtained from the Internet, etc. The method comprises representing various elements, such as name, e-mail address, etc., using nodes, representing the relations between the various elements using edges connecting these nodes, computing a distance between two disparate nodes, wherein each of the two disparate nodes represent an element related to the entity. An implementation of the information cataloging system disclosed herein also provides a method of calculating noise and signal to noise ratio attached to various nodes and using such noise information in calculating confidence level of relationships between various elements.