Patent classifications
G06F16/835
SEMANTIC DATABASE DRIVEN FORM VALIDATION
Embodiments of the present invention provide a means for validating electronic forms using one or more semantic databases. The invention includes processing an electronic form into individual elements and generating entities for the individual elements. The closest matching ontology is found for each entity and the pairings are grouped into a general formal ontology tree. The entities in the general formal ontology tree are traversed using generated rules. This analysis yields validation results that are combined with the original form to create an annotated form.
Runtime metric estimations for functions
In some examples, a system receives function descriptors for different types of functions to be used when processing database queries, each function descriptor of the function descriptors comprising information relating to a respective function of the different types of functions. The system computes, based on a first function descriptor for a first function of the different types of functions, an estimate of a runtime metric associated with execution of the first function for processing a database query.
Method and database system for sequentially executing a query and methods for use therein
A database system operates by facilitating execution of a query, where each of a plurality of sequential operator execution steps includes: determining whether each operator of a plurality of operators of a query operator execution flow is currently executable; generating a plurality of priority values by calculating a priority value for each operator based on whether each operator is determined to be currently executable, and based on a position value of each operator; identifying one operator of with a most favorable priority value; facilitating execution of the one operator on a queued set of data blocks to generate at least one output data block; identifying a next operator serially positioned consecutively after the one operator; and appending the at least one output data block to another queued set of data blocks of the next operator.
STORING SEMI-STRUCTURED DATA
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing semi-structured data. One of the methods includes maintaining a plurality of schemas; receiving a first semi-structured data item; determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas; and in response to determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas: generating a new schema, encoding the first semi-structured data item in the first data format to generate the first new encoded data item in accordance with the new schema, storing the first new encoded data item in the data item repository, and associating the first new encoded data item with the new schema.
STORING SEMI-STRUCTURED DATA
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing semi-structured data. One of the methods includes maintaining a plurality of schemas; receiving a first semi-structured data item; determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas; and in response to determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas: generating a new schema, encoding the first semi-structured data item in the first data format to generate the first new encoded data item in accordance with the new schema, storing the first new encoded data item in the data item repository, and associating the first new encoded data item with the new schema.
Semi-structured data machine learning
A method may include ingesting a plurality of sources files from a plurality of infrastructure assets; inputting the plurality of source files into a cognitive computing engine (CCE); receiving an output from the CCE, the output indicating a plurality of relationships between the infrastructure assets; and updating a data store based on the plurality of relationships.
Semi-structured data machine learning
A method may include ingesting a plurality of sources files from a plurality of infrastructure assets; inputting the plurality of source files into a cognitive computing engine (CCE); receiving an output from the CCE, the output indicating a plurality of relationships between the infrastructure assets; and updating a data store based on the plurality of relationships.
Optimized disaster-recovery-as-a-service system
Methods, computer program products, and systems are presented. The methods include, for instance: analyzing a dataset associated with a service provided by the data protection service provider in order to determine a policy for when and how to replicate the respective components of the dataset corresponding to the service from a source site to a target site, such that the target site may perform the service with a minimum cost.
Electronic device and search keyword processing method thereof
According to various embodiments of the present disclosure, an electronic device includes a display, a communication circuit, a processor operatively connected to the display and the communication circuit, and a memory operatively connected to the processor, wherein the memory is configured to store a web browser including a uniform resource locator (URL) address bar and at least one application program, wherein the memory is further configured to store instructions that, when executed by the processor, cause the electronic device to be configured to: display a first webpage including a search box, using the web browser, on the display, receive at least one search text through the search box and/or the URL address bar, transmit the at least one search text to a first external server associated with the first webpage via the communication circuit, receive a first search result associated with the search text from the first external server; display the first search result on the display, receive a user input for selecting a second webpage or an application program for using the search text, transmit data associated with the search text to a second external server associated with the second webpage or the application program via the communication circuit, without further receiving the search text, receive a second search result associated with the search text from the second external server, and display the second search result on the display.
Electronic device and search keyword processing method thereof
According to various embodiments of the present disclosure, an electronic device includes a display, a communication circuit, a processor operatively connected to the display and the communication circuit, and a memory operatively connected to the processor, wherein the memory is configured to store a web browser including a uniform resource locator (URL) address bar and at least one application program, wherein the memory is further configured to store instructions that, when executed by the processor, cause the electronic device to be configured to: display a first webpage including a search box, using the web browser, on the display, receive at least one search text through the search box and/or the URL address bar, transmit the at least one search text to a first external server associated with the first webpage via the communication circuit, receive a first search result associated with the search text from the first external server; display the first search result on the display, receive a user input for selecting a second webpage or an application program for using the search text, transmit data associated with the search text to a second external server associated with the second webpage or the application program via the communication circuit, without further receiving the search text, receive a second search result associated with the search text from the second external server, and display the second search result on the display.