Building a Domain Knowledge and Term Identity Using Crowd Sourcing
AssigneeInternational Business Machines Corporation
InventorsCorville O. Allen, Albert A. Chung, Andrew R. Freed, Dorian B. Miller
Life of this patent
Estimating the term…
Abstract
An approach is provided in which a QA system ingests traditional sources, which includes traditional terms, into a domain dictionary. Next, the QA system ingests crowd-based sources that include crowd-based terms and corresponding crowd-based metadata. In turn, the QA system calculates weightings pertaining to the traditional terms based upon the crowd-based metadata. When the QA system receives a question from a requestor that includes question terms, the QA system identifies an answer to the question based on the calculated weightings pertaining to the traditional terms that are relevant to the question terms.
Claims20
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An information handling system comprising:
- one or more processors;
- a memory coupled to at least one of the processors;
- and
- a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of:
- ingesting a first set of traditional sources that comprise a plurality of first terms;
- ingesting a second set of crowd-based sources that comprise a plurality of second terms and a plurality of crowd-based metadata;
- calculating one or more weightings pertaining to one or more of the first terms based on the crowd-based metadata;
- receiving a question that includes one or more question terms;
- and
- identifying an answer to the question based on one or more of the weightings corresponding to one or more of the first terms that are relevant to one or more of the question terms.
A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, causes the information handling system to perform actions comprising:
- ingesting a first set of traditional sources that comprise a plurality of first terms;
- ingesting a second set of crowd-based sources that comprise a plurality of second terms and a plurality of crowd-based metadata;
- calculating one or more weightings pertaining to one or more of the first terms based on the crowd-based metadata;
- receiving a question that includes one or more question terms;
- and
- identifying an answer to the question based on one or more of the weightings corresponding to one or more of the first terms that are relevant to one or more of the question terms.
Dependencies are inferred from the claim text.