Systems, methods, apparatus, and schema for storing, managing and retrieving information
First Claim
1. A processor implemented method for identifying risk, comprising:
- receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information;
analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk;
tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk;
processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information;
parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag;
determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk;
storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and
outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface.
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Accused Products
Abstract
An amount of risk associated with a transaction may be determined by transforming collected information into a searchable database where the collected information may be assessed for relevancy and redundancy, parsed into categories of relevancy based on at least one risk, stored in a database, and outputted into a graphical user interface. Information may also be collected from a plurality of sources, translated into at least one standardized format, parsed into a plurality of portions, assessed based on a risk-relevancy metric, tagged based on the risk-relevancy metric, filtered based on redundancy, stored within the data structure, and outputted into a data storage structure to a graphical user interface. Unstructured information may be obtained from a large variety of sources, which may allow users to make decisions—regarding, for example, transactions, relationships, or the like—from a risk perspective.
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Citations
31 Claims
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1. A processor implemented method for identifying risk, comprising:
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receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information; analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk; tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk; processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 24, 25)
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17. A risk identifying processor-implemented method, comprising:
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collecting, by a processor, information from a plurality of information sources; translating, via the processor, the collected information into at least one standardized format; parsing, via the processor, the information into a plurality of portions; determining, via the processor, a risk-relevancy metric of each of the plurality of portions, the risk-relevancy metric of each of the plurality of portions indicating a likelihood that a respective portion of the plurality of portions of the information is relevant to at least one risk; analyzing, via the processor, the parsed information to determine risk relevancy of the parsed information for determining a risk-relevancy tag; tagging, via the processor, at least one portion of the information as risk-relevant based on the determined risk-relevancy metric; filtering, via the processor, the tagged at least one portion of the information to remove information not deemed to be risk-relevant; filtering, via the processor, a redundancy of the tagged at least one portion of the information; storing, via the processor, the filtered tagged at least one portion of the information in a data storage structure; and outputting, via the processor, the information stored in the data storage structure to a risk identification graphical user interface. - View Dependent Claims (26, 27)
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18. A risk identifying apparatus, comprising:
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a memory; a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to; receive information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information; analyze the received information to determine relevancy of the information with regard to the at least one risk and tagging the information with at least one risk-relevancy tag based on a determination of the relevancy of the information with regard to the at least one risk; process the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parse the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determine a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; store the risk-relevant information In a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and output the risk-relevant information stored in the data storage structure to a risk identification graphical user interface. - View Dependent Claims (19, 20, 21, 22, 28, 29)
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23. A risk identifying apparatus, comprising:
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a memory; a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to; collect information from a plurality of information sources; translate the collected information into at least one standardized format; parse the information into a plurality of portions; determine a risk-relevancy metric of each of the plurality of portions, the risk-relevancy metric of each of the plurality of portions indicating a likelihood that a respective portion of the plurality of portions of the information is relevant to at least one risk; analyze the information to determine risk relevancy of the parsed information for determining a risk-relevancy tag; tag at least one portion of the information as risk-relevant based on the determined risk-relevancy metric; filter the tagged at least one portion of the information to remove information not deemed to be risk-relevant; filter a redundancy of the tagged at least one portion of the information; store the filtered tagged at least one portion of the information in a data storage structure; and output the information stored in the data storage structure to a risk identification graphical user interface. - View Dependent Claims (30, 31)
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Specification