Automated management of natural language queries in enterprise business intelligence analytics
First Claim
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1. A method comprising:
- performing, with one or more processing devices, natural language processing and semantic processing on a natural language query to identify data sets relevant to the natural language query;
grouping, with the one or more processing devices, the data sets into one or more query domains based at least in part on one or more relationships among the data sets, wherein each query domain includes a data set comprising a fact table that has one-to-many cardinality with a plurality of other data sets and no many-to-one cardinality with any data set, and one or more data sets each having a direct many-to-one cardinality relationship with the fact table;
prioritizing, with the one or more processing devices, the one or more query domains; and
loading, with the one or more processing devices, the one or more query domains in an order based on the prioritizing of the query domains.
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Abstract
Systems and methods may automate management of natural language queries of enterprise data. In one example, a method includes performing natural language processing and semantic processing on a natural language query to identify data sets relevant to the natural language query. The method further includes grouping the data sets into one or more query domains based at least in part on one or more relationships among the data sets. The method further includes prioritizing the query domain sets. The method further includes loading one or more of the query domain sets in an order based on the prioritizing of the query domain sets.
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Citations
17 Claims
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1. A method comprising:
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performing, with one or more processing devices, natural language processing and semantic processing on a natural language query to identify data sets relevant to the natural language query; grouping, with the one or more processing devices, the data sets into one or more query domains based at least in part on one or more relationships among the data sets, wherein each query domain includes a data set comprising a fact table that has one-to-many cardinality with a plurality of other data sets and no many-to-one cardinality with any data set, and one or more data sets each having a direct many-to-one cardinality relationship with the fact table; prioritizing, with the one or more processing devices, the one or more query domains; and loading, with the one or more processing devices, the one or more query domains in an order based on the prioritizing of the query domains. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer program product comprising a computer-readable storage medium having program code embodied therewith, the program code executable by a computing device to:
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perform natural language processing and semantic processing on a natural language query to identify data sets relevant to the natural language query; group the data sets into one or more query domains based at least in part on one or more relationships among the data sets, wherein each query domain includes a data set comprising a fact table that has one-to-many cardinality with a plurality of other data sets and no many-to-one cardinality with any data set, and one or more data sets each having a direct many-to-one cardinality relationship with the fact table; prioritize the one or more query domains; and load, with the one or more processing devices, the one or more query domains in an order based on the prioritizing of the query domains. - View Dependent Claims (11, 12, 13)
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14. A computer system comprising:
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one or more hardware processors, one or more computer-readable memories, and one or more computer-readable, tangible storage devices; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform natural language processing and semantic processing on a natural language query to identify data sets relevant to the natural language query; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, group the data sets into one or more query domains based at least in part on one or more relationships among the data sets, wherein each query domain includes a data set comprising a fact table that has one-to-many cardinality with a plurality of other data sets and no many-to-one cardinality with any data set, and one or more data sets each having a direct many-to-one cardinality relationship with the fact table; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to prioritize the one or more query domains; and program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to load the one or more query domains in an order based on the prioritizing of the query domains. - View Dependent Claims (15, 16, 17)
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Specification