Query Interpretation and Suggestion Generation under Various Constraints

• US 20150269175A1
• Filed: 03/21/2014
• Published: 09/24/2015
• Est. Priority Date: 03/21/2014
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Hsu, Bo-June, Wang, Kuansan, Espenshade, Jeremy K.
• Application Number:
  US14/221,526
• Publication Number:
  US 20150269175A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24522 Translation of natural language queries to structured queries
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 40/211 Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

A query processing system (QPS) is described herein for interpreting a user'"'"'s input query against a structured knowledge base, to provide an output result. The output result may include one or more query suggestions, each providing a recommendation as to how a user may refine his or her query. In addition, or alternatively, the output result may specify one or more entity items which satisfy the user'"'"'s query. In interpreting the user'"'"'s query, the QPS may rely on a collection of rule modules which identify and process different types of constraints that may be expressed in the input query, including numeric constraint, nested constraints, comparison-based constraints, and so on.

Claims

1. A method, performed by one or more computing devices, for processing a query, comprising:

receiving an input query, corresponding to a complete query or a yet-to-be-completed query;

interpreting the input query with respect to information provided in a structured knowledge base, using a set of rule modules associated with a grammar, to identify a set of one or more constraints expressed by the input query; and

providing an output result based on the set of constraints,

at least one rule module in the grammar being a numeric-constraint rule module that is used to process a numeric constraint expressed in the input query,

the numeric constraint being expressed using at least one number and/or at least one word of a natural language.

2. The method of claim 1, wherein the numeric-constraint rule module includes logic for:

determining when the numeric-constraint rule module has been invoked; and

when invoked, extracting one or more information items from the structured knowledge base, relative to at least one specified value.

3. The method of claim 2, wherein said one or more information items correspond to one or more entity items.

4. The method of claim 2, wherein said one or more information items correspond to one or more attribute value items associated with one or more entity items.

5. The method of claim 2, wherein said at least one specified value corresponds to a single-bound value, and wherein said one or more information items are associated with respective values that are no larger than the single-bound value, or no smaller than the single-bound value.

6. The method of claim 2, wherein said at least one specified value corresponds to a range of values, and wherein said one or more information items are associated with respective values that lie within the range of values.

7. The method of claim 2, further comprising applying a weighting function to said one or more information items.

8. The method of claim 7,

wherein said one or more information items are associated with one or more respective position values, and

wherein the weighting function provides a weight for each information item that is based on a distance between a position value, associated with the information item, and a reference position value.

9. The method of claim 2, wherein said at least one specified value is specified in an indirect manner, resolution of which depends on a result provided by execution of at least one other rule module.

10. The method of claim 9, wherein said numeric-constraint rule module and said at least one other rule module make inquiries into at least two tables of the structured knowledge base associated with at least two respective subjects.

11. The method of claim 1, wherein the numeric-constraint rule module is configured to:

identify the numeric constraint in the input query; and

decompose the numeric constraint into two or more sub-constraints, wherein said interpreting involves interpreting the input query based on said two or more sub-constraints.

12. The method of claim 11,

wherein the numeric constraint is associated with a master range, and

wherein each sub-constraint corresponds to a sub-range encompassed by the master range.

13. The method of claim 1, wherein at least one other rule module corresponds to a comparison rule module that is used to process a comparison-based constraint expressed in the input query, in which at least a first item is compared to a second item.

14. The method of claim 1,

wherein said interpreting of the input query also includes identifying at least one variant of a word expressed in the input query, and

wherein said interpreting involves interpreting the input query to include consideration of said at least one variant.

15. The method of claim 1, wherein said interpreting of the input query also includes:

identifying an originally-specified prefix in the input query; and

identifying two or more extended prefixes for the originally-specified prefix in the input query,

wherein said interpreting involves interpreting the input query based on the extended prefixes.

16. The method of claim 1,

wherein said interpreting also involves generating a set of entity lists associated with the set of constraints,

wherein each entity item in an entity list corresponds to an entity described in the structured knowledge base which satisfies at least one of the constraints, and

wherein the method further comprises performing an intersection operation based on the set of entity lists, to generate a set of matching items, each of which satisfies all of the constraints in the set of constraints.

17. The method of claim 16, wherein said performing of the intersection operation further comprises utilizing at least one instance of pre-computed information, associated with a pre-computed intersection between two or more entity lists.

18. A query processing system, implemented by one or more computing devices, for processing an input query, comprising:

a data store that stores a structured knowledge base, the structured knowledge base specifying attribute value items, associated with a set of entity items, in a structured manner;

a data store that stores a set of rule modules that correspond to a grammar;

a query interpretation module configured to;

receive an input query, corresponding to a complete query or a yet-to-be-completed query; and

interpret the input query with respect to information provided in the structured knowledge base, using the set of rule modules, to identify;

(a) a set of one or more constraints expressed by the input query; and

(b) a set of entity lists associated with the set of constraints,

each entity item in an entity list corresponding to an entity described in the structured knowledge base which satisfies at least one of the constraints;

an intersection module configured to perform an intersection operation based on the set of entity lists, to generate a set of matching items that satisfy all of the constraints in the set of constraints; and

a post-processing module configured to provide an output result based on the set of matching items,

at least one rule module in the grammar corresponding to a parent rule module, containing a reference to at least one child rule module,

the parent rule module providing an output result which is dependent on another output result generated by said at least one child rule module.

19. The query processing system of claim 18, wherein the parent rule module generates at least one entity list based on a numeric constraint expressed in the input query.

20. A computer readable storage medium for storing computer readable instructions, the computer readable instructions performing a method, when executed by one or more processing devices, that comprises:

receiving an input query, corresponding to a complete query or a yet-to-be-completed query;

interpreting the input query with respect to information provided in a structured knowledge base, using a set of rule modules associated with a grammar, to identify a set of one or more constraints expressed by the input query; and

providing an output result that reflects the set of constraints,

at least one rule module in the grammar, corresponding to a parent rule module, containing a reference to at least one child rule module,

the parent rule module providing an output result which is dependent on another output result generated by said at least one child rule module.