System and method for deriving a hierarchical event based database optimized for analysis of criminal and security information
First Claim
1. A computer implemented method for inferring a probability of a first inference, the computer implemented method comprising:
- receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the plurality of divergent data in the database is conformed to dimensions of the database, wherein each datum of the plurality of divergent data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum, wherein the cohorts (i) are a group of associated individuals or objects sharing a common characteristic, and (ii) are automatically generated using data stored at an atomic level;
establishing the fact as a frame of reference for the query;
applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the frame of reference serves as an anchor for generating associations among the plurality of cohort data and is used to determine rules for limiting the plurality of divergent data that is searched, wherein the first set of rules determine how the plurality of divergent data are to be compared to the fact, and wherein the first set of rules determine a search space for the query;
executing the query to create the first inference and the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of divergent data according to the first set of rules; and
storing the probability of the first inference.
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Accused Products
Abstract
A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
135 Citations
20 Claims
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1. A computer implemented method for inferring a probability of a first inference, the computer implemented method comprising:
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receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the plurality of divergent data in the database is conformed to dimensions of the database, wherein each datum of the plurality of divergent data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum, wherein the cohorts (i) are a group of associated individuals or objects sharing a common characteristic, and (ii) are automatically generated using data stored at an atomic level; establishing the fact as a frame of reference for the query; applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the frame of reference serves as an anchor for generating associations among the plurality of cohort data and is used to determine rules for limiting the plurality of divergent data that is searched, wherein the first set of rules determine how the plurality of divergent data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; executing the query to create the first inference and the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of divergent data according to the first set of rules; and storing the probability of the first inference. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer implemented method for building a database capable of inferring a probability of a first inference, the computer implemented method comprising:
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establishing a database structure, wherein the database structure is adapted to receive a plurality of divergent data, wherein in the database the plurality of divergent data includes a plurality of cohort data, wherein the database is adapted such that each datum of the plurality of divergent data in the database is conformed to dimensions of the database, wherein the database is further adapted such that each datum of the plurality of divergent data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum, wherein the cohorts (i) are a group of associated individuals or objects sharing a common characteristic, and (ii) are automatically generated using data stored at an atomic level; establishing a first set of rules for the database structure, the first set of rules comprising rules for determining a second set of rules to be applied to a query submitted to the database, wherein the second set of rules determine how the plurality of divergent data are to be compared to a fact submitted with the query, wherein the fact serves as a frame of reference when executing the query, wherein the frame of reference serves as an anchor for generating associations among the plurality of cohort data and is used to determine rules for limiting the plurality of divergent data that is searched, wherein the second set of rules determine a search space for the query, and wherein the second set of rules are adapted to create the first inference and the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of divergent data according to the second set of rules using the fact as the frame of reference; receiving the plurality of divergent data in the database; conforming the plurality of divergent data to the dimensions of the database to form a plurality of conformed data; associating the metadata and a key with each datum in the plurality of conformed data; and storing the database structure. - View Dependent Claims (18)
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19. A computer program product stored in a computer readable storage medium and operable for inferring a probability of a first inference when executed by a data processing system, the computer program product comprising:
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a database comprising a plurality of divergent data stored in a data structure on the computer readable storage medium, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the plurality of divergent data in the database is conformed to dimensions of the database, wherein each datum of the plurality of divergent data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum, wherein the cohorts (i) are a group of associated individuals or objects sharing a common characteristic, and (ii) are automatically generated using data stored at an atomic level; computer usable program code for establishing a fact, received in a query, as a frame of reference for the query; computer usable program code for applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the frame of reference serves as an anchor for generating associations among the plurality of cohort data and is used to determine rules for limiting the plurality of divergent data that is searched, wherein the first set of rules determine how the plurality of divergent data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; computer usable program code for executing the query to create a first inference and a probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of divergent data according to the first set of rules; and computer usable program code for storing the probability of the first inference. - View Dependent Claims (20)
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Specification