SYSTEMS AND METHODS FOR SEMANTICALLY-INFORMED QUERYING OF TIME SERIES DATA STORES

• US 20160078128A1
• Filed: 09/12/2014
• Published: 03/17/2016
• Est. Priority Date: 09/12/2014
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: McHugh, Justin, Cuddihy, Paul Edward, Leber, Christina Ann, Palla, Ravi Kiran Reddy
• Application Number:
  US14/485,155
• Publication Number:
  US 20160078128A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

Systems and methods for querying time series data using a semantically-informed search. The method including receiving from a client computer a data request for time series data records stored in a time series database, parsing the data request by accessing one or more ontologies in a semantic data store to determine a set of values pertinent to the received request, applying the determined set of values to a model representing a relationship applicable to the time series data, assembling a query compatible to a format implemented in the time series database, and querying the time series database with the assembled query. The received data request describes requested data in terms of one or more available models, the available models representing relationships applicable to the time series data, and the parsing step includes implementing sematic technology to access the ontologies. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.

Claims

1. A method of querying time series data using a semantically-informed search, the method comprising:

receiving from a client computer a data request for time series data records stored in a time series database;

parsing the data request by accessing an ontology database to determine a set of values pertinent to the received request;

applying the determined set of values to a model representing a semantic relationship applicable to the time series data;

assembling a query compatible to a format implemented in the time series database;

querying the time series database with the assembled query;

merging the determined set of values with a response to the assembled query; and

returning the results of the merging step to the client computer.

2. The method of claim 1, wherein the received data request describes requested data in terms of one or more available models, the available models representing relationships applicable to the time series data.

3. The method of claim 1, the parsing step including implementing semantic technology to access the ontologies.

4. The method of claim 1, including expressing the time series data records in terms of triples encoded independently of the database format.

5. The method of claim 1, the assembling step including implementing an application programming interface to merge semantically-defined time ranges and the set of values.

6. The method of claim 1, including using a wrapper application to implement mechanisms for accepting the query and providing output results from the time series database.

8. The medium of claim 6, including the received data request describing requested data in terms of one or more available models, the available models representing relationships applicable to the time series data.

7. A non-transitory computer-readable medium having stored thereon instructions which when executed by a processor cause the processor to perform a method of querying time series data using a semantically-informed search, the method comprising:

receiving from a client computer a data request for time series data records stored in a time series database;

parsing the data request by accessing an ontology database to determine a set of values pertinent to the received request;

applying the determined set of values to a model representing a semantic relationship applicable to the time series data;

assembling a query compatible to a format implemented in the time series database;

querying the time series database with the assembled query;

merging the determined set of values with a response to the assembled query; and

returning the results of the merging step to the client computer.

9. The medium of claim 7, including instructions to cause the processor to perform the parsing step by implementing sematic technology to access the ontologies.

10. The medium of claim 7, including instructions to cause the processor to perform the step of expressing the time series data records in terms of triples encoded independently of the database format.

11. The medium of claim 7, including instructions to cause the processor to perform the assembling step by implementing an application programming interface to merge semantically-defined time ranges and the set of values.

12. The medium of claim 7, including instructions to cause the processor to perform the step of using a wrapper application to implement mechanisms for accepting the query and providing output results from the time series database.

13. A system for querying time series data using a semantically-informed search, the system comprising:

a server in communication with a client computer across an electronic communication network;

the system including an ontology database and a time series database, the time series database containing time series data records obtained from sensor devices monitoring a monitored device;

the server including a control processor, the control processor configured to execute operating instructions that cause the processor to;

receive from a client computer a data request for time series data records stored in a time series database;

parse the data request by accessing an ontology database to determine a set of values pertinent to the received request;

apply the determined set of values to a model representing a semantic relationship applicable to the time series data;

assemble a query compatible to a format implemented in the time series database;

query the time series database with the assembled query;

merge the determined set of values with a response to the assembled query; and

returning the results of the merge to the client computer

14. The system of claim 13, including the received data request describing requested data in terms of one or more available models, the available models representing relationships applicable to the time series data.

15. The system of claim 13, including instructions to cause the processor to perform the parsing step by implementing sematic technology to access the ontologies.

16. The system of claim 13, including instructions to cause the processor to perform the step of expressing the time series data records in terms of triples encoded independently of the database format.

17. The system of claim 13, including instructions to cause the processor to perform the assembling step by implementing an application programming interface to merge semantically-defined time ranges and the set of values.

18. The system of claim 13, including instructions to cause the processor to perform the step of using a wrapper application to implement mechanisms for accepting the query and providing output results from the time series database.