Linguistic semantic analysis monitoring/alert integration system
A linguistic semantic analysis monitoring/alert integration system includes at least one storage device storing one or more monitoring dictionary databases that include module-specific language information that identifies module-specific language terms utilized in providing a monitoring module. A linguistic semantic monitoring analysis engine is coupled to the at least one storage device. The linguistic semantic monitoring analysis engine receives a file included in a monitoring module, parses the file to identify file language terms included in the file, and matches the file language terms included in the file with the module-specific language terms included in the module-specific language information. Based on the matching of the file programming language terms with the module-specific programming language terms, intent for the file language terms is determined and used to automatically classify the file into a respective one of a plurality of monitoring model databases.
1. A linguistic semantic analysis monitoring/alert integration system, comprising:
at least one storage device storing one or more monitoring dictionary databases that include module-specific language information that identifies module-specific language terms utilized in providing a monitoring module; and
a processor coupled to the at least one storage device, the processor providing:
a linguistic semantic monitoring analysis engine that is configured to:
receive a first file included in a monitoring module;
parse the first file to identify file language terms included in the first file;
match the file language terms included in the first file with the module-specific language terms included in the module-specific language information;
determine, based on the matching of the file language terms with the module-specific language terms, a first intent for the file language terms; and
automatically classify, based on the determination of the first intent for the file language terms, the first file into a respective one of a plurality of monitoring model databases, and
a monitoring application that is configured to:
access the first file from the respective one of the plurality of monitoring model databases; and
perform monitoring operations based on the first file on a target system coupled to the processor, wherein the monitoring operations include at least one of: monitoring health of the target system, monitoring performance of the target system, or monitoring inventory of the target system.
2. The system of claim 1 , wherein the plurality of monitoring model databases include a health model database, a performance model database, and an inventory model database.
3. The system of claim 1 , wherein the module-specific language information includes health model variables, performance model variables, and inventory model variables.
4. The system of claim 1 , wherein the first file includes one of a Management Information Base (MIB) file, a Meta-Object Facility (MOF) file, and a JavaScript Object Notation (JSON) file.
5. The system of claim 1 , wherein the first file is a first alert file.
6. The system of claim 5 , wherein the linguistic semantic monitoring analysis engine is configured to:
associate a noun file language term in the first alert file with a component in a computing device;
associate a verb file language term in the first alert file with an operation; and
map the first alert file to a state machine in the computing device based on the classification, the component, and the operation of the first alert file.
7. The system of claim 6 , wherein the linguistic semantic monitoring analysis engine is configured to:
cancel at least one second alert file that is mapped to the state machine in the computing device based on the second alert file being mapped to the same classification, the same component, and the same operation as the first alert file.
8. An Information Handling System (IHS), comprising:
a processing system; and
a memory system that is coupled to the processing system and that includes instructions that, when executed by the processing system, cause the processing system to provide:
a linguistic semantic monitoring analysis engine that is configured to:
receive a first file included in a monitoring module;
parse the first file to identify file language terms included in the first file;
match the file language terms included in the first file with module-specific language terms that are included in module-specific language information that is stored in one or more monitoring dictionary databases;
determine, based on the matching of the file language terms with the module-specific language terms, a first intent for the file language terms; and
automatically classify, based on the determination of the first intent for the file language terms, the first file into a respective one of a plurality of monitoring model databases, and
a monitoring application that is configured to:
access the first file from the respective one of the plurality of monitoring model databases; and
perform monitoring operations based on the first file on a target system coupled to the processing system, wherein the monitoring operations include at least one of: monitoring health of the target system, monitoring performance of the target system, or monitoring inventory of the target system.
9. The IHS of claim 8 , wherein the plurality of monitoring model databases include a health model database, a performance model database, and an inventory model database.
10. The IHS of claim 8 , wherein the module-specific language information includes health model variables, performance model variables, and inventory model variables.
11. The IHS of claim 8 , wherein the first file includes one of a Management Information Base (MIB) file, a Meta-Object Facility (MOF) file, and a JavaScript Object Notation (JSON) file.
12. The IHS of claim 8 , wherein the first file is a first alert file.
13. The IHS of claim 12 , wherein the linguistic semantic monitoring analysis engine is configured to:
associate a noun file language term in the first alert file with a component in a computing device;
associate a verb file language term in the first alert file with an operation;
map the first alert file to a state machine in the computing device based on the classification, component, and operation of the first alert file; and
cancel at least one second alert file that is mapped to the state machine in the computing device based on the second alert file being mapped to the same classification, the same component, and the same operation as the first alert file.
14. A method for integrating monitoring and alerts using linguistic semantic analysis, comprising:
receiving, by a linguistic semantic monitoring analysis system, a first file included in a monitoring module;
parsing, by the linguistic semantic monitoring analysis system, the first file to identify file language terms included in the first file;
matching, by the linguistic semantic monitoring analysis system, the file language terms included in the first file with module-specific language terms that are included in module-specific language information that is stored in one or more monitoring dictionary databases;
determining, by the linguistic semantic monitoring analysis system based on the matching of the file language terms with the module-specific language terms, a first intent for the file language terms;
automatically classifying, by the linguistic semantic monitoring analysis system based on the determination of the first intent for the file language terms, the first file into a respective one of a plurality of monitoring model databases,
accessing, by a monitoring application operating on the linguistic semantic monitoring analysis system, the first file from the respective one of the plurality of monitoring model databases; and
performing, by the monitoring application, monitoring operations based on the first file on a target system coupled to the linguistic semantic monitoring analysis system, wherein the monitoring operations include at least one of: monitoring health of the target system, monitoring performance of the target system, or monitoring inventory of the target system.
15. The method of claim 14 , wherein the plurality of monitoring model databases include a health model database, a performance model database, and an inventory model database.
16. The method of claim 14 , wherein the module-specific language information includes health model variables, performance model variables, and inventory model variables.
17. The method of claim 14 , wherein the first file includes one of a Management Information Base (MIB) file, a Meta-Object Facility (MOF) file, and a JavaScript Object Notation (JSON) file.
18. The method of claim 14 , wherein the first file is a first alert file.
19. The method of claim 18 , further comprising:
associating, by the linguistic semantic monitoring analysis system, a noun file language term in the first alert file with a component in a computing device;
associating, by the linguistic semantic monitoring analysis system, a verb file language term in the first alert file with an operation; and
mapping, by the linguistic semantic monitoring analysis system, the first alert file to a state machine in the computing device based on the classification, the component, and the operation of the first alert file.
20. The method of claim 19 , further comprising:
cancelling, by the linguistic semantic monitoring analysis system, at least one second alert file that is mapped to the state machine in the computing device based on the second alert file being mapped to the same classification, the same component, and the same operation as the first alert file.