DATA STORE QUERY PREDICTION

• US 20150317318A1
• Filed: 04/30/2014
• Published: 11/05/2015
• Est. Priority Date: 04/30/2014
• Status: Active Grant

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Schimmelpfeng, Joern, Hadzhiyski, Radi Dimitrov
• Granted Patent: US 9,727,663 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/1734 Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
• CPC Class Codes: G06F 16/243 Natural language query formulation
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/90332 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

Predicting a data store query can include receiving a portion of a natural language query including a first set of characters. Predicting a data store query can include generating, based at least in part on the first set of characters, a prediction of a phrase matching meta information associated with at least one of a service component metric, log, and event. Predicting a data store query can include proposing the prediction for completion of the query.

Claims

1. A system, comprising:

a query reception engine to receive a portion of a natural language query of a data store including a first set of characters;

a query prediction engine to generate, based at least in part on the first set of characters, a prediction of a phrase matching meta information associated with at least one of a service component metric, a service component log, and a service component event; and

a query suggestion engine to propose the prediction for completing the query.

2. The system of claim 1, wherein the first set of characters comprise an incomplete phrase.

3. The system of claim 2, wherein the query prediction engine generates a prediction of a second set of characters that, when added to the first set of characters, comprise a completed phrase matching the meta information associated with at least one of a service component metric, log, and event.

4. The system of claim 1, wherein the at least one of the service component metric, log, and event are associated with an outlier indication.

5. The system of claim 1, wherein the at least one of the service component metric, log, and event are associated with a profile of an accessing entity submitting the query.

6. The system of claim 1, wherein the first set of characters includes a completed first phrase that matches meta information associated with at least one of a service component metric, log, and event, and an incomplete second phrase.

7. The system of claim 6, wherein the query prediction engine generates a prediction of a second set of characters that, when added to the first number of characters, will complete the incomplete second phrase to a completed second phrase, wherein a combination of the completed first phrase and the completed second phrase matches meta information associated with at least one of a service component metric, log, and event.

8. The system of claim 1, wherein the query prediction engine generates a prediction of a second set of characters that, when added to the first set of characters, comprise a completed phrase that was contained in a previous query of a user.

9. A non-transitory computer readable medium storing instructions executable by a processing resource to cause a computer to:

receive a portion of a natural language query of a data store including a first set of characters;

generate, based at least in part on the first set of characters, a prediction of a plurality of phrases identifying at least one of a service component metric, a service component log, and a service component event included in the data store;

sort the predicted plurality of phrases;

propose at least a portion of the sorted predicted plurality of phrases for completing the query.

10. The non-transitory computer readable medium of claim 9, wherein to sort includes to order a phrase of the predicted plurality of phrases that identifies at least one of a service component metric, log, and event associated with an outlier indication to appear earlier in the sort.

11. The non-transitory computer readable medium of claim 9, wherein to sort includes to order a phrase of the predicted plurality of phrases that identifies at least one of a service component metric, log, and event related to a service identified by the portion of the query to appear earlier in the sort.

12. The non-transitory computer readable medium of claim 9, wherein to sort includes to order a phrase of the predicted plurality of phrases that identifies at least one of a service component metric, log, and event appearing most frequently in the number of previous queries to appear earlier in the sort.

13. A method, comprising:

receiving a portion of a natural language query of a data store;

generating, based at least in part on the portion of the natural language query, a prediction of a plurality of phrases identifying at least one of a service component metric, a service component log, and a service component event included in the data store;

sorting the predicted plurality of phrases; and

proposing the sorted predicted plurality of phrases for completing the query;

receiving a selection of a proposed predicted phrase of the proposed predicted plurality of phrases.

14. The method of claim 13, wherein the predicted plurality of phrases include a key attribute indicating keyword followed by a key attribute identifying an instance of at least one of a service component metric, a service component log, and a service component event included in the data store.

15. The method of claim 13, wherein the data store is an operations management data store storing information related to a plurality of services.