Technique for context updating and query processing for evaluating qualitative search terms

1. A computer-implemented method for managing a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, the method comprising:

extracting a numerical value for the attribute from each data item in a set of data items;

updating the concept-mapping function based on the extracted numerical attribute values,

wherein the concept-mapping function associates a given numerical value for the attribute with a numerical compatibility index that indicates a compatibility between the given numerical value and the qualitative search term as applied to the attribute,

wherein the qualitative search term comprises one or more words that is a qualitative measurement of the numerical attribute value;

wherein updating the concept-mapping function comprises,

determining boundaries for the concept-mapping function based on the extracted numerical attribute values, the boundaries corresponding to a start point and an end point of a range of the extracted numerical attribute values associated with the concept mapping function, and

within the determined boundaries, using a pre-specified distribution to update the concept-mapping function;

receiving a query on a set of stored events, the query comprising the qualitative search term;

for at least a subset of events in the set of stored events:

applying the concept-mapping function to a numerical attribute value in the event to obtain the numerical compatibility index for the event and qualitative search term, and

determining whether to include the event in a set of query results based on the numerical compatibility index; and

responding to the query using the set of query results.

2. The computer-implemented method of claim 1 , wherein updating the concept-mapping function includes using a pre-specified distribution obtained from a domain expert or a user.

3. The computer-implemented method of claim 1 , wherein updating the concept-mapping function additionally includes using information obtained from a current version of the concept-mapping function.

4. The computer-implemented method of claim 1 ,

wherein the concept-mapping function belongs to a set of concept-mapping functions for a set of qualitative search terms applied to the attribute;

wherein the set of concept-mapping functions define a context for the attribute; and

wherein updating the concept-mapping function additionally includes updating the set of concept-mapping functions in the context.

5. The computer-implemented method of claim 1 ,

wherein the concept-mapping function belongs to a set of concept-mapping functions for a set of qualitative search terms applied to the attribute;

wherein the set of concept-mapping functions define a context for the attribute; wherein a context for an attribute “arrival time” includes concept-mapping functions for a set of qualitative search terms, including “early,” “on time,” and “late”;

wherein a context for an attribute “height” includes concept-mapping functions for a set of qualitative search terms, including “short” and “tall”;

wherein a context for an attribute “response time” includes concept-mapping functions for a set of qualitative search terms, including “slow” and “fast”; and

wherein a context for an attribute “speed” includes concept-mapping functions for a set of qualitative search terms, including “fast” and “slow”.

6. The computer-implemented method of claim 1 , further comprising storing the concept-mapping function as an array of numerical values that maps numerical attribute values to corresponding numerical compatibility indices.

7. The computer-implemented method of claim 1 , further comprising storing the concept-mapping function as a representation of mathematical function that maps numerical attribute values to corresponding numerical compatibility indices.

8. The computer-implemented method of claim 1 , wherein determining the boundaries for the concept-mapping function includes determining a minimum numerical attribute value and a maximum numerical attribute value in a range defined by the extracted numerical attribute values.

9. The computer-implemented method of claim 1 , wherein determining the boundaries for the concept-mapping function includes:

computing an average numerical attribute value and a standard deviation based for the extracted numerical attribute values; and

using the average numerical attribute value and the standard deviation to determine the boundaries for the concept-mapping.

10. The computer-implemented method of claim 1 , wherein determining the boundaries for the concept-mapping function includes:

computing a mean numerical attribute value and a standard deviation based for the extracted numerical attribute values; and

using the mean numerical attribute value and the standard deviation to determine the boundaries for the concept-mapping.

11. The computer-implemented method of claim 1 , wherein determining the boundaries for the concept-mapping function includes:

obtaining a user-specified center value for a context associated with the concept-mapping function;

computing a standard deviation based on the extracted numerical attribute values; and

determining boundaries for the concept-mapping function based on the user-specified center value and the standard deviation.

12. The computer-implemented method of claim 1 , wherein instructions for updating the concept-mapping function are stored in a context associated with the concept-mapping function.

13. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for managing a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, the method comprising:

extracting a numerical value for the attribute from each data item in a set of data items;

updating the concept-mapping function based on the extracted numerical attribute values,

wherein the concept-mapping function associates a given numerical value for the attribute with a numerical compatibility index that indicates a compatibility between the given numerical value and the qualitative search term as applied to the attribute,

wherein the qualitative search term comprises one or more words that is a qualitative measurement of the numerical attribute value;

wherein updating the concept-mapping function comprises,

determining boundaries for the concept-mapping function based the extracted numerical attribute values, the boundaries corresponding to a start point and an end point of a range of the extracted numerical attribute values associated with the concept mapping function, and

within the determined boundaries, using a pre-specified distribution to update the concept-mapping function;

receiving a query on a set of stored events, the query comprising the qualitative search term;

for at least a subset of events in the set of stored events:

applying the concept-mapping function to a numerical attribute value in the event to obtain the numerical compatibility index for the event and qualitative search term, and

determining whether to include the event in a set of query results based on the numerical compatibility index; and

responding to the query using the set of query results.

14. The non-transitory computer-readable storage medium of claim 13 , wherein updating the concept-mapping function includes using a pre-specified distribution obtained from a domain expert or a user.

15. The non-transitory computer-readable storage medium of claim 13 , wherein updating the concept-mapping function additionally includes using information obtained from a current version of the concept-mapping function.

16. The non-transitory computer-readable storage medium of claim 13 ,

wherein the concept-mapping function belongs to a set of concept-mapping functions for a set of qualitative search terms applied to the attribute;

wherein the set of concept-mapping functions define a context for the attribute; and

wherein updating the concept-mapping function additionally includes updating the set of concept-mapping functions in the context.

17. The non-transitory computer-readable storage medium of claim 13 ,

wherein the concept-mapping function belongs to a set of concept-mapping functions for a set of qualitative search terms applied to the attribute;

wherein the set of concept-mapping functions define a context for the attribute;

wherein a context for an attribute “arrival time” includes concept-mapping functions for a set of qualitative search terms, including “early,” “on time,” and “late”;

wherein a context for an attribute “height” includes concept-mapping functions for a set of qualitative search terms, including “short” and “tall”;

wherein a context for an attribute “response time” includes concept-mapping functions for a set of qualitative search terms, including “slow” and “fast”; and

wherein a context for an attribute “speed” includes concept-mapping functions for a set of qualitative search terms, including “fast” and “slow”.

18. The non-transitory computer-readable storage medium of claim 13 , wherein the method further comprises storing the concept-mapping function as an array of numerical values that maps numerical attribute values to corresponding numerical compatibility indices.

19. The non-transitory computer-readable storage medium of claim 13 , wherein the method further comprises storing the concept-mapping function as a representation of mathematical function that maps numerical attribute values to corresponding numerical compatibility indices.

20. The non-transitory computer-readable storage medium of claim 13 , wherein determining the boundaries for the concept-mapping function includes determining a minimum numerical attribute value and a maximum numerical attribute value in a range defined by the extracted numerical attribute values.

21. The non-transitory computer-readable storage medium of claim 13 , wherein determining the boundaries for the concept-mapping function includes:

computing an average numerical attribute value and a standard deviation based for the extracted numerical attribute values; and using the average numerical attribute value and the standard deviation to determine the boundaries for the concept-mapping.

22. The non-transitory computer-readable storage medium of claim 13 , wherein determining the boundaries for the concept-mapping function includes:

computing a mean numerical attribute value and a standard deviation based for the extracted numerical attribute values; and

using the mean numerical attribute value and the standard deviation to determine the boundaries for the concept-mapping.

23. The non-transitory computer-readable storage medium of claim 13 , wherein determining the boundaries for the concept-mapping function includes:

obtaining a user-specified center value for a context associated with the concept-mapping function;

computing a standard deviation based on the extracted numerical attribute values; and

determining boundaries for the concept-mapping function based on the user-specified center value and the standard deviation.

24. The non-transitory computer-readable storage medium of claim 13 , wherein instructions for updating the concept-mapping function are stored in a context associated with the concept-mapping function.

25. A system for managing a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, comprising:

at least one processor and at least one associated memory; and

an updating mechanism that executes on the at least one processor and during operation:

extracts a numerical value for the attribute from each data item in a set of data items;

updates the concept-mapping function based on the extracted numerical attribute values,

wherein the concept-mapping function associates a given numerical value for the attribute with a numerical compatibility index that indicates a compatibility between the given numerical value and the qualitative search term as applied to the attribute,

wherein the qualitative search term comprises one or more words that is a qualitative measurement of the numerical attribute value;

wherein while updating the concept-mapping function, the updating mechanism,

determines boundaries for the concept-mapping function based the extracted numerical attribute values, the boundaries corresponding to a start point and an end point of a range of the extracted numerical attribute values associated with the concept mapping function, and

within the determined boundaries, uses a pre-specified distribution to update the concept-mapping function;

receive a query on a set of stored events, the query comprising the qualitative search term;

for at least a subset of events in the set of stored events:

apply the concept-mapping function to a numerical attribute value in the event to obtain the numerical compatibility index for the event and qualitative search term, and

determine whether to include the event in a set of query results based on the numerical compatibility index; and

respond to the query using the set of query results.

26. The system of claim 25 , wherein while updating the concept-mapping function, the updating mechanism uses a pre-specified distribution obtained from a domain expert or a user.

27. The system of claim 25 , wherein while updating the concept-mapping function, the updating mechanism additionally uses information obtained from a current version of the concept-mapping function.

28. The system of claim 25 ,

wherein the concept-mapping function belongs to a set of concept-mapping functions for a set of qualitative search terms applied to the attribute;

wherein the set of concept-mapping functions define a context for the attribute; and

wherein updating the concept-mapping function additionally includes updating the set of concept-mapping functions in the context.

29. The system of claim 25 ,

wherein the concept-mapping function belongs to a set of concept-mapping functions for a set of qualitative search terms applied to the attribute;

wherein the set of concept-mapping functions define a context for the attribute;

wherein a context for an attribute “arrival time” includes concept-mapping functions for a set of qualitative search terms, including “early,” “on time,” and “late”;

wherein a context for an attribute “height” includes concept-mapping functions for a set of qualitative search terms, including “short” and “tall”;

wherein a context for an attribute “response time” includes concept-mapping functions for a set of qualitative search terms, including “slow” and “fast”; and

wherein a context for an attribute “speed” includes concept-mapping functions for a set of qualitative search terms, including “fast” and “slow”.

30. The system of claim 25 , wherein the updating mechanism additionally stores the concept-mapping function as an array of numerical values that maps numerical attribute values to corresponding numerical compatibility indices.

31. The computer-implemented method of claim 1 , wherein the concept-mapping function belongs to a set of concept-mapping functions for a context of the attribute, and wherein the set of concept-mapping functions comprise overlapping ranges.