التفاصيل البيبلوغرافية
| العنوان: |
GEOSPATIAL INCONSISTENCIES IDENTIFICATION DATA SYSTEM BASED ON CONTRACTUAL RIGHTS AND GEOGRAPHICAL NETWORK ANALYSIS |
| Document Number: |
20120166347 |
| تاريخ النشر: |
June 28, 2012 |
| Appl. No: |
12/979743 |
| Application Filed: |
December 28, 2010 |
| مستخلص: |
An application document for a contractual right can be identified. The application document can be a new application seeking a contractural right or an existing one for which a contractual right has already been granted yet which is being verified herein. The contractual right can define a compensatory relationship between two entities for specified conditions. At least one address can be determined from the application document, where activities related to the contractual right are to be performed. The address can be converted into geospatial coordinates. A database of geospatially recorded items can be queried for activities proximate to the geospatial coordinates. A geospatial inconsistency score can be generated based on the results from the database and their level of incompatibility with conducting the activity for which the contractual right is related. |
| Inventors: |
LACAL, JOSE (BOYNTON BEACH, FL, US) |
| Assignees: |
DATASTREAM CONTENT SOLUTIONS, LLC (COLLEGE PARK, MD, US) |
| Claim: |
1. A method for detecting geospatial inconsistencies for contractual rights comprising: identifying an application document, a renewal application, or a list of current right grantees for a contractual right, wherein said contractual right defines a compensatory relationship between two entities for specified conditions; determining at least one address from the document, wherein activities related to the contractual right are to be performed; converting the address into a set of geospatial coordinates; querying a database of geospatially recorded items for activities proximate to the converted set of geospatial coordinates; generating a geospatial inconsistency score based on the results from the database and their level of incompatibility with conducting an activity for which the contractual right relates; when the geospatial inconsistency score is less than or equal to a previously established threshold, indicating that no problem has been detected that indicates that the contractual right is improper; and when the geospatial inconsistency score exceeds the previously established threshold, indicating that a problem has been detected that warrants further analysis of the contractual right. |
| Claim: |
2. The method of claim 1, wherein the contractual right is at least one of a government right permitting an entity to perform a regulated activity or provides the entity with a grant of money from a government source and an insurance policy agreement. |
| Claim: |
3. The method of claim 1, wherein the database of the geospatially recorded items is a database synthesized from a plurality of data sources that have a geospatial link, wherein, when synthesizing the information from the plurality of data sources, absolute geospatial coordinates are determined for addresses contained within the plurality of data sources, said absolute geospatial coordinates being used in the database of the geospatially recorded items. |
| Claim: |
4. The method of claim 1, further comprising: including in the database of geospatially recorded items regions of land reserved for specific uses in which activities related to the contractual right are not able to be performed, said regions of land including school regions, cemetery regions, hospital regions, universities, and parks; and when the geospatial coordinate of the address from the application falls within one of the regions of land, increasing the geospatial inconsistency score so that it exceeds the previously established threshold. |
| Claim: |
5. The method of claim 1, further comprising: including in the database of geospatially recorded items businesses serving alcohol to customers, pawn shops, check-cashing stores, and strip clubs; determining that the activities related to the contractual right are unlikely to be located proximate to any of the following unlikely-proximate-businesses: businesses serving alcohol to customers, pawn shops, check-cashing stores, and strip clubs; and each time the geospatial coordinate of the address is within a predefined range of one of the unlikely-proximate-businesses, increasing the geospatial inconsistency score. |
| Claim: |
6. The method of claim 1, further comprising: including in the database of geospatially related items hotels, temporary stay accommodations, and post-office boxes locations; determining that the activities related to the contractual right are unlikely to be located proximate to any of the following non-permanent addresses: hotels, temporary stay accommodations, and post-office boxes locations; and each time the geospatial coordinate of the address is within a predefined range of one of the non-permanent addresses, increasing the geospatial inconsistency score. |
| Claim: |
7. A method of claim 1, further comprising: generating the geospatial inconsistency score responsive to an application for the contractual right and before the contractual right is granted. |
| Claim: |
8. A method of claim 1, further comprising: generating the geospatial inconsistency score responsive to an inquiry into an already granted contractual right, wherein said inquiry is designed to indicate whether the granted contractual right is improper and should therefore be revoked. |
| Claim: |
9. The method of claim 1, further comprising: generating the geospatial inconsistency score responsive to a renewal application for renewing an existing contractual right, wherein said contractual right is not renewed if the geospatial inconsistency score indicates that the contractual right is improper. |
| Claim: |
10. The method of claim 1, further comprising: generating a report showing the calculation of the geospatial inconsistency score, said report comprising the geospatial entities from the database that cause the geospatial inconsistency score to be raised and an amount that each raised the geospatial inconsistency score. |
| Claim: |
11. The method of claim 1, wherein each of the steps of claim 1 are performed by a processor of a computing device executing instructions of a computer program product, said computer program product being digitally encoded in a physical storage medium. |
| Claim: |
12. A system for identifying inconsistencies contained in contractual rights requests comprising: a plurality of contractual rights data obtained from a plurality data sources; a contractual right message for a contractual right submitted by an entity, wherein said contractual right message comprises a plurality of data provided by said entity; a plurality of inconsistency rulesets defining conditions indicative of misrepresentation by the submitting entity, wherein said conditions are expressed in terms of the data contained in the contractual rights message; and a contractual rights inconsistencies identification data system configured to generate an inconsistency report for the contractual rights message, wherein said inconsistency report expresses a likelihood of misrepresentation by the entity based upon the data of the contractual rights message, the plurality of inconsistency rulesets, and a geocoded contractual rights data warehouse, wherein said geocoded contractual rights data warehouse is synthesized from the plurality of contractual rights data. |
| Claim: |
13. A method for identifying inconsistencies contained in contractual rights requests comprising: synthesizing a data warehouse of contractual rights from a plurality of data sources by a contractual rights inconsistencies identification data system, wherein each record of the data warehouse having at least one address of a physical location contains geospatial information regarding said at least one address; in response to receipt of a message relating to a contractual right, analyzing contents of the message with respect to the data warehouse; calculating a geospatial inconsistency score for the message using results of the analysis, wherein said geospatial inconsistency score represents a likelihood of contractual right being for fraudulent activities; comparing the calculated geospatial inconsistency score with a predetermined inconsistency threshold value; generating an inconsistency report for the message comprising results of at least one of the analysis and the geospatial inconsistency score comparison; and conveying said inconsistency report to a designated agent. |
| Claim: |
14. The method of claim 13, wherein synthesizing the data warehouse further comprises: acquiring source data files from the plurality of data sources; determining at least one element of metadata for each source data file; for each record contained in the source data files, normalizing values of specified data fields in accordance with a predetermined format; creating a new record within the data warehouse for a source data record; populating data fields of said new record with data values of corresponding fields in the source data record; when the source data record contains at least one address, geocoding the at least one address within the new data warehouse record; and storing said new record in the data warehouse. |
| Claim: |
15. The method of claim 14, wherein geocoding the at least one address further comprises: determining geospatial coordinates for the at least one address from a set of geospatial data, wherein said geospatial coordinates uniquely identify the physical location in terms of latitudinal and longitudinal positioning; and adding said geospatial coordinates to the new data warehouse record. |
| Claim: |
16. The method of claim 15, further comprising: determining a geospatial entity object code (geocode) for the at least one address, wherein said geocode is obtained using a geocoding software application; and adding said geocode to the new data warehouse record. |
| Claim: |
17. The method of claim 16, wherein the geocode is a GEOHASH value. |
| Claim: |
18. The method of claim 14, wherein the synthesizing data warehouse is a third normal form RDBMS (relational database management system). |
| Claim: |
19. The method of claim 14, further comprising: determining a topographically integrated geographic encoding and references (TIGER) SHAPEFILE associated with the at least one address; obtaining a plurality of U.S. Census data associated with the determined TIGER SHAPEFILE; and adding said plurality of U.S. Census data to the new data warehouse record. |
| Claim: |
20. The method of claim 13, wherein the calculating of the geospatial inconsistency score further comprises: identifying at least one inconsistency ruleset applicable to the new contractual rights request, wherein an inconsistency ruleset comprises a plurality of rules defining conditions indicative of a misrepresentation on a part of an entity submitting the contractual rights message; applying said at least one inconsistency ruleset to the new contractual rights message, wherein satisfaction of a rule contained in an inconsistency ruleset indicates an infraction; and synthesizing infractions identified by the application of the at least one inconsistency ruleset into the geospatial inconsistency score. |
| Claim: |
21. The method of claim 13, wherein the analysis of the new contractual rights message further comprises: mining the data warehouse creating a subset of records related to data values contained in the new contractual rights message; and utilizing said subset of data warehouse records in lieu of the data warehouse in its entirety when calculating the geospatial inconsistency score and generating the inconsistency report for the new contractual rights message. |
| Claim: |
22. The method of claim 13, wherein each of the steps of claim 11 are performed by a processor of a computing device executing instructions of a computer program product, said computer program product being digitally encoded in a physical storage medium. |
| Current U.S. Class: |
705/317 |
| Current International Class: |
06 |
| رقم الانضمام: |
edspap.20120166347 |
| قاعدة البيانات: |
USPTO Patent Applications |