System and methods for discovering and managing knowledge, insights, and intelligence using a context engine having the ability to provide a logical semantic understanding of event circumstances
First Claim
1. A method for identifying and documenting events based on logical semantic circumstance dimensions, comprising:
- receiving, at a context engine having one or more processors, data that defines at least a first event and multiple additional events;
storing, in a database coupled to the context engine, the received data that defines at least the first event and the multiple additional events according to a circumstance-event relationship model, wherein the circumstance-event relationship model defines relationships among individual event circumstances associated with the first event and among different combinations of the individual event circumstances in multiple dimensions, wherein the circumstance-event relationship model uniquely identifies at least one of the first event or the multiple additional events according to a concatenated aggregation of unique values for actor, location, time, action, and motivation circumstances;
determining, at the context engine, a relationship between the first event and one or more of the multiple additional events based on an evaluation of a selected one of the individual event circumstances and one or more other event circumstances associated with the first event, and different combinations of the one or more other event circumstances associated with the first event in the multiple dimensions; and
providing, by the context engine, one or more analytic tools to analyze the relationship between the first event and the one or more of the multiple additional events.
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Accused Products
Abstract
The disclosure relates to a context engine that can be used to identify, align, associate, validate, anticipate, and analyze new knowledge, insights and intelligence from large amounts of digital data. The essential foundation of knowledge about events is the clear and specific definition and understanding of the circumstances of those events. The present disclosure integrates modern technological capabilities including relational database structures and processing algorithms with an underlying semantic foundation to provide the opportunity for contextual understanding, analysis and insight. In various embodiments, the context engine may be based on “Five W” event circumstances, including “Who”, “Where”, “When”, “What”, and “Why” circumstances that provide a logical semantic foundation for knowledge and understanding about modeled events, enabling users to associate those circumstances with existing information. Accordingly, the context engine may provide a substantive, intuitive, scalable, and searchable layer of context to the universe of available data and information.
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Citations
25 Claims
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1. A method for identifying and documenting events based on logical semantic circumstance dimensions, comprising:
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receiving, at a context engine having one or more processors, data that defines at least a first event and multiple additional events; storing, in a database coupled to the context engine, the received data that defines at least the first event and the multiple additional events according to a circumstance-event relationship model, wherein the circumstance-event relationship model defines relationships among individual event circumstances associated with the first event and among different combinations of the individual event circumstances in multiple dimensions, wherein the circumstance-event relationship model uniquely identifies at least one of the first event or the multiple additional events according to a concatenated aggregation of unique values for actor, location, time, action, and motivation circumstances; determining, at the context engine, a relationship between the first event and one or more of the multiple additional events based on an evaluation of a selected one of the individual event circumstances and one or more other event circumstances associated with the first event, and different combinations of the one or more other event circumstances associated with the first event in the multiple dimensions; and providing, by the context engine, one or more analytic tools to analyze the relationship between the first event and the one or more of the multiple additional events. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for identifying and documenting events based on logical semantic circumstance dimensions, comprising:
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an input device configured to receive data that defines at least a first event and multiple additional events; a database configured to store the received data that defines at least the first event and the multiple additional events according to a circumstance-event relationship model that defines relationships among individual event circumstances and among different combinations of the individual event circumstances in multiple dimensions, wherein the circumstance-event relationship model uniquely identifies at least one of the first event or the multiple additional events according to a concatenated aggregation of unique values for actor, location, time, action, and motivation circumstances; and at least one processor configured to determine a relationship between the first event and one or more of the multiple additional events based on an evaluation of other event circumstances associated with the first event, and different combinations of the other event circumstances associated with the first event in the multiple dimensions and to provide one or more analytic tools to analyze the relationship between the first event and the one or more of the multiple additional events. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A non-transitory computer-readable storage medium having computer-executable instructions recorded thereon, the computer-executable instructions configured to cause a computer having at least one processor to:
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receive data that defines at least a first event and multiple additional events; store the received data that defines at least the first event and the multiple additional events in a database according to a circumstance-event relationship model, wherein the circumstance-event relationship model defines relationships among individual event circumstances and among different combinations of the individual event circumstances in multiple dimensions, wherein the circumstance-event relationship model uniquely identifies at least one of the first event or the multiple additional events according to a concatenated aggregation of unique values for actor, location, time, action, and motivation circumstances; determine a relationship between the first event and one or more of the multiple additional events based on an evaluation of other event circumstances associated with the first event, and different combinations of the other event circumstances associated with the first event in the multiple dimensions; and provide one or more analytic tools to analyze the relationship between the first event and the one or more of the multiple additional events.
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Specification