Significance of relationships discovered in a corpus
First Claim
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1. A method comprising:
- identifying a focus within a natural language question;
mining a first body of information for disclosure of entities within the first body of information;
determining relationships among the entities based on the focus;
generating a targeting document containing a first relationship and a second relationship, the first and second relationships being relationships among the entities determined from the first body of information;
recording mining data for relationships in the targeting document in support of an importance criteria;
ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and
storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge;
wherein;
the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; and
the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree.
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Abstract
Certain relationships representing material insights are identified from among a set of discovered relationships. Cognitive discovery of relationships in a knowledge base, or corpus, are ranked according to one or more metrics indicative of material insights, including recentness and degree of alignment.
29 Citations
20 Claims
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1. A method comprising:
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identifying a focus within a natural language question; mining a first body of information for disclosure of entities within the first body of information; determining relationships among the entities based on the focus; generating a targeting document containing a first relationship and a second relationship, the first and second relationships being relationships among the entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein; the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; and the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computer program product comprising a computer-readable storage medium having a set of instructions stored therein which, when executed by a processor, causes the processor to determine a significance ranking for discovered relationships by:
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identifying a focus within a natural language question; mining a first body of information for disclosure of entities within the first body of information; determining relationships among the entities based on the focus; generating a targeting document containing a first relationship and a second relationship, the first and second relationships being relationships among the entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein; the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; and the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree. - View Dependent Claims (13, 14, 15, 16)
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17. A computer system comprising:
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a processor set; and a computer readable storage medium; wherein; the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and the program instructions which, when executed by the processor set, cause the processor set to determine a significance ranking for discovered relationships by; identifying a focus within a natural language question; mining a first body of information for disclosure of entities within the first body of information; determining relationships among the entities based on the focus; generating a targeting document containing a first relationship and a second relationship, the first and second relationships being relationships among the entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein; the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; and the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree. - View Dependent Claims (18, 19, 20)
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Specification