Knowledge driven solution inference
First Claim
1. A non-transitory computer-readable medium storing instructions, which when executed by a computer cause the computer to:
- extract, by an extraction engine, unstructured data from one or more information sources, wherein the extracted unstructured data is stored in a data repository;
identify, by the extraction engine and from the data repository, data segments corresponding to a plurality of categories in the extracted unstructured data by natural language processing;
group, by a clustering engine and from the data repository, the data segments into a plurality of data clusters based on scores between the data segments;
generate, by the clustering engine, a structured knowledge base by linking the plurality of data clusters, wherein the structured knowledge base includes at least one link between a first data segment in a first data cluster and a second data segment in a second data cluster, and wherein the first data cluster is a problem cluster and the second data cluster is a solution cluster; and
provide, by an inference engine, a knowledge driven solution inference based on the generated knowledge base.
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Abstract
Various embodiments of systems and methods to provide a knowledge driven solution inference are described herein. In one aspect, unstructured data is retrieved from one or more information sources. Data segments corresponding to a plurality of categories are identified in the extracted unstructured data by natural language processing. Further, the data segments are grouped into a plurality of data clusters based on scores between the data segments. The structured knowledge base is generated by linking the associated plurality of data clusters. The knowledge driven solution inference is provided based on the generated knowledge base.
15 Citations
20 Claims
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1. A non-transitory computer-readable medium storing instructions, which when executed by a computer cause the computer to:
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extract, by an extraction engine, unstructured data from one or more information sources, wherein the extracted unstructured data is stored in a data repository; identify, by the extraction engine and from the data repository, data segments corresponding to a plurality of categories in the extracted unstructured data by natural language processing; group, by a clustering engine and from the data repository, the data segments into a plurality of data clusters based on scores between the data segments; generate, by the clustering engine, a structured knowledge base by linking the plurality of data clusters, wherein the structured knowledge base includes at least one link between a first data segment in a first data cluster and a second data segment in a second data cluster, and wherein the first data cluster is a problem cluster and the second data cluster is a solution cluster; and provide, by an inference engine, a knowledge driven solution inference based on the generated knowledge base. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer implemented method to provide a knowledge driven solution inference, comprising:
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extracting, by an extraction engine, unstructured data from one or more information sources, wherein the extracted unstructured data is stored in a data repository; identifying, by the extraction engine and from the data repository, data segments corresponding to a plurality of categories in the extracted unstructured data by natural language processing; grouping, by a clustering engine and from the data repository, the data segments into a plurality of data clusters based on scores between the data segments; generating, by the clustering engine, a structured knowledge base by linking the plurality of data clusters, wherein the structured knowledge base includes at least one link between a first data segment in a first data cluster and a second data segment in a second data cluster, and wherein the first data cluster is a problem cluster and the second data cluster is a solution cluster; and providing, by an inference engine, the knowledge driven solution inference based on the generated knowledge base. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computing system to provide a knowledge driven solution inference, comprising:
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at least one processor; and a computer-readable medium communicative with the at least one processor and storing instructions executable by the at least one processor, wherein the instructions instruct the at least one processor to; extract, by an extraction engine, unstructured data from one or more information sources, wherein the extracted unstructured data is stored in a data repository; identify, by the extraction engine and from the data repository, data segments corresponding to a plurality of categories in the extracted unstructured data by natural language processing; group, by a clustering engine and from the data repository, the data segments into a plurality of data clusters based on scores between the data segments; generate, by the clustering engine, a structured knowledge base by linking the plurality of data clusters, wherein the structured knowledge base includes at least one link between a first data segment in a first data cluster and a second data segment in a second data cluster, and wherein the first data cluster is a problem cluster and the second data cluster is a solution cluster; and provide, by an inference engine, the knowledge driven solution inference based on the generated knowledge base. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification