Patent Issued for Systems And Methods For Database Management (USPTO 10,860,621)
2020 DEC 21 (NewsRx) -- By a
The patent’s assignee for patent number 10,860,621 is
News editors obtained the following quote from the background information supplied by the inventors: “A database stores a set of records. However, managing such records may be difficult due to record number, size, content, or relationships. For example, there may be a need to organize records into different sets and use such sets to perform various set-specific computing operations. Thus, a need exists for a technology to organize database records into different sets in order to execute set-specific computing operations.”
As a supplement to the background information on this patent, NewsRx correspondents also obtained the inventors’ summary information for this patent: “One embodiment comprises a method of managing databases, the method comprising: accessing, by an application server, over a wide area network, a plurality of records stored in a first database, wherein the first database is managed by a first database management system, wherein the first database and the first database management system are hosted on a first database server, wherein each of the records comprises a social network service profile, wherein each of the social network service profiles comprises a profile identifier, an electronic messaging address, and a health lifestyle identifier; identifying, by the application server, the health lifestyle identifiers in the records; reading, by the application server, the health lifestyle identifiers from the records; comparing, by the application server, the health lifestyle identifiers; in response to determining, by the application server, that the health lifestyle identifiers are related in content: creating, by the application server, a record in a second database, wherein the second database is managed by a second database management system, wherein the second database and the second database management system are hosted on a second database server, wherein the application server and the second database server are in a local area network, wherein the first database server is external to the local area network; configuring, by the application server, via the second database management system, the record in the second database to be searchable in the second database via the health lifestyle identifiers; copying, by the application server, from the first database, via the first database management system, the profile identifiers and the electronic messaging addresses; populating, by the application server, via the second database management system, the record with the profile identifiers and the electronic messaging addresses based on the copying; generating, by the application server, an electronic message; accessing, by the application server, the electronic messaging addresses in the record of the second database via the second database management system; sending, by the server, the electronic message to the electronic messaging addresses.
“Numerous other aspects, features and benefits of the present disclosure may be made apparent from the following detailed description taken together with the drawing figures.”
The claims supplied by the inventors are:
“What is claimed is:
“1. A method comprising: receiving, by a first server, over a wide area network, a plurality of geolocation data sets at different time periods from a plurality of clients; receiving, by the first server, over the wide area network, a plurality of biometric data sets from a plurality of wearable computers associated with the plurality of clients; receiving, by the first server, over the wide area network, an input of lifestyle criteria based on an activity level of each client; storing, by the first server, the geolocation data sets, the biometric data sets, and the lifestyle criteria in a plurality of database records, each database record associated with one of the plurality of clients; extracting, by the first server, a plurality of travel attributes from the geolocation data sets within the different time periods in the database records; determining, by the first server, a risk profile based on the travel attributes of each geolocation data set and a corresponding time period; determining, by the first server, a correlation between each geolocation data set and each biometric data set within the different time periods based on a time value of each geolocation data set and a time value of each biometric data set, wherein the correlation indicates each client’s biometric response corresponding to the risk profile of each respective geolocation and time period; determining, by the first server, a risk factor score for each client based on the correlation between each geolocation data set and each biometric data set within the different time periods; determining, by the first server, a lifestyle for each client based on the geolocation data set and input lifestyle criteria, wherein each lifestyle determination is a measurement of fitness practiced by each client; identifying, by the first server, a set of records corresponding to a set of clients that share a risk factor score within a predetermined range and a same lifestyle determination; grouping, by the first server, the set of the records corresponding to the set of clients that share the risk factor score within the predetermined range and the same lifestyle determination; accessing, by the first server, over the wide area network, a social network service hosted on a second server; generating, by the first server, a group on the social network service comprising the set of clients that share the risk factor score within the predetermined range and the same lifestyle determination; transmitting, by the second server using an application programming interface, an electronic message to the set of clients within the group, the electronic message configured to invite the set of clients to join the group on the social network service; assigning, by the first server, the set of records to the group such that a risk statistic of the group can be determined based on a plurality of communications between the clients in the group; and in response to determining, by the first server, that the risk statistic exceeds a predetermined threshold, transmitting, by the second server, a message informative of the risk statistic exceeding the threshold to an electronic messaging address associated with each client within the group.
“2. The method of claim 1, wherein at least one of the travel attributes is based on a movement of at least one of the clients along a distance between a pair of geolocations during a time period, wherein the pair of geolocations are predetermined before the receiving and stored in at least one of the database records, wherein the time period is predetermined before the receiving and stored in the at least one of the database records.
“3. The method of claim 2, further comprising: determining, by the server, a morbidity rate and a threshold for the at least one of the clients based on at least one of the records associated with the at least one of the clients; determining, by the server, before the extracting, the distance based on the morbidity rate being below the threshold.
“4. The method of claim 1, further comprising: determining, by the server, a morbidity rate for a route; determining, by the server, a threshold for at least one of the clients based on at least one of the records associated with the at least one of the clients, wherein at least one of the travel attributes is based on a movement of the at least one of the clients along the route associated with the morbidity rate being below the threshold.
“5. The method of claim 1, wherein at least two of the geolocation data sets correspond to a single time period and to at least two train routes, wherein the set of the records comprises the at least two of the geolocation data sets.
“6. The method of claim 1, wherein at least two of the geolocation data sets correspond to a single time period and to at least two roadways, wherein the set of the records comprises the at least two of the geolocation data sets.
“7. The method of claim 1, further comprising: extracting, by the server, a plurality of characteristics from the biometric data sets in the database records; determining, by the server, at least two of the database records that share the characteristics, wherein the set of records comprises the at least two of the database records.”
For additional information on this patent, see: Ross, Gareth; Ben-Zvi, Yaron. Systems And Methods For Database Management.
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