4 results about "Datalog" patented technology

Methods, systems, and machine-readable media perform a search of field service records in a datastore using generative artificial intelligence (AI). An utterance requesting a search of field service records is received from a user device. The generative AI selects one or more actions with which to process the user utterance. The generative AI also resolves a datetime range. A field service record data query language (DQL) query is built based on the selected one or more actions and the datetime range. The DQL query is executed on a field service record datastore to receive a list of field service records, which are then transmitted to the user device responsive to the utterance. The generative AI can also be used to format the field service records for display before transmitting to the user device. Generative AI hallucinations and inaccuracies are avoided in the search results.

This specification provides one or more embodiments of a data query method, apparatus, electronic device, and storage medium. The method includes: during a data query of queried data based on the compilation result of a data query language, in response to the end of a data query for the current data unit, obtaining a first query time for the current data unit, and swapping the order of a first predicate and a second predicate in the compilation result of the data query language, wherein the queried data includes multiple data units; in response to the end of a data query for the next data unit, obtaining a second query time for the next data unit; in response to the first query time being greater than or equal to the second query time, retaining the order of the first predicate and the second predicate in the compilation result; and in response to the first query time being less than the second query time, restoring the order of the first predicate and the second predicate in the compilation result of the data query language.

The invention relates to a heap vulnerability detection method and device, computer equipment, a readable storage medium and a program product. The method comprises the steps that when a target program runs, a target library function called by the target program is hijacked, and operation log data of a heap memory is recorded; processing the operation log data to obtain target operation log data in a datalog data format; and analyzing the target operation log data to obtain a vulnerability detection result. By adopting the method, the heap vulnerability detection precision can be improved.

A system, method, and computer-program product includes obtaining a data query schema that provides instructions for constructing computer-executable search queries according to a search syntax permitted by a target data query language, extracting, from the data query schema, one or more sets of query components that define the search syntax of the target data query language, synthetically generating a plurality of natural language-to-search query training data samples based at least in part on the one or more sets of query components, and configuring a natural language-to-search query machine learning model based on training a machine learning text-to-text transformer model using the plurality of natural language-to-search query training data samples.