Ingesting a Natural Language Query into a Cognitive Graph

Abstract

A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data a data source, the data comprising a query and information relating to an answer to the query; processing the query, the processing the query identifying a plurality of query related knowledge elements; processing the information relating to the answer to the query, the processing the information relating to the answer to the query identifying a plurality of answer related knowledge elements; and, storing the plurality of query related knowledge elements and the plurality of answer related knowledge elements within the cognitive graph as a collection of knowledge elements.

Description

BACKGROUND OF THE INVENTIONField of the Invention[0001]The present invention relates in general to the field of computers and similar technologies, and in particular to software utilized in this field. Still more particularly, it relates to a method, system and computer-usable medium for performing cognitive inference and learning operations.Description of the Related Art[0002]In general, “big data” refers to a collection of datasets so large and complex that they become difficult to process using typical database management tools and traditional data processing approaches. These datasets can originate from a wide variety of sources, including computer systems, mobile devices, credit card transactions, television broadcasts, and medical equipment, as well as infrastructures associated with cities, sensor-equipped buildings and factories, and transportation systems. Challenges commonly associated with big data, which may be a combination of structured, unstructured, and semi-structur...

AI Technical Summary

Benefits of technology

This patent describes a system and method for inferring information from queries and related information. The system includes a processor and a data bus, and a computer-readable storage medium that holds computer program code. The program code processes the query and identifies relevant knowledge elements, which are then stored in a cognitive graph. This allows the system to quickly and efficiently analyze queries and provide relevant information in response.

Problems solved by technology

In general, “big data” refers to a collection of datasets so large and complex that they become difficult to process using typical database management tools and traditional data processing approaches.

In combination, these challenges make it difficult to efficiently process large quantities of data within tolerable time intervals.

An example of data that is being collected, but is difficult to access at the right time and place, includes data associated with the side effects of certain spider bites while on a camping trip.

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