SEARCHING METHOD AND APPARATUS

• US 20150324464A1
• Filed: 12/16/2014
• Published: 11/12/2015
• Est. Priority Date: 05/06/2014
• Status: Active Grant

• Current Assignee: Baidu Online Network Technology (Beijing) Co., Ltd (Baidu Incorporated)
• Original Assignee: Baidu Online Network Technology (Beijing) Co., Ltd (Baidu Incorporated)
• Inventors: FAN, Guiqun, WANG, Yuchuan, HUANG, Shitao, AN, Yixing, SUN, Bin, LI, Guoqiang, LIU, Yanyun, FENG, Xingwei
• Granted Patent: US 10,083,228 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• 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

Abstract

A searching method and a searching apparatus are provided. The method includes: obtaining a search term input from a client device; determining a type of the search term, and obtaining a knowledge graph corresponding to the type of the search term; and returning the knowledge graph corresponding to the type of the search term to the client device, such that the client device displays information contained in the knowledge graph in a structured form.

Claims

1. A computer-implemented searching method, comprising:

obtaining, at one or more computing devices, a search term input from a client device;

determining, at the one or more computing devices, a type of the search term input;

obtaining, at the one or more computing devices, a knowledge graph corresponding to the type of the search term input; and

transmitting, using the one or more computing devices, the knowledge graph corresponding to the type of the search term to the client device, the information contained in the knowledge graph configured to be displayed by the client device in a structured form.

2. The method according to claim 1, further comprising:

constructing and saving knowledge graphs, at the one or more computing devices, corresponding to different types of search term inputs.

3. The method according to claim 2, wherein constructing knowledge graphs corresponding to different types of search terms comprises:

obtaining, at the one or more computing devices, child node information of each type;

classifying, at the one or more computing devices, the child node information according to different labels; and

establishing, at the one or more computing devices, corresponding relations between each type and the label contained therein, and between each label contained in each type and child node information belonging to a corresponding label to construct the knowledge graph of each type.

4. The method according to claim 3, wherein obtaining child node information of each type comprises:

obtaining, at the one or more computing devices, the child node information of each type according to different fields with respect to different types.

5. The method according to claim 3, further comprising:

setting, using the one or more computing devices, corresponding labels for different types respectively.

6. The method according to claim 3, wherein information contained in the knowledge graph comprises labels under the types of the search terms and child node information belonging to corresponding labels.

7. A computer-implemented searching apparatus, comprising:

one or more computing devices configured to execute one or more software modules, the one or more software modules including;

an obtaining module configured to obtain a search term input from a client device;

a determining module configured to determine a type of the search term, and obtain a knowledge graph corresponding to the type of the search term; and

a returning module configured to return the knowledge graph corresponding to the type of the search term to the client device, such that the client device displays information contained in the knowledge graph in a structured form.

8. The apparatus according to claim 7, wherein the one or more software modules further comprises:

a constructing module configured to construct and save knowledge graphs corresponding to different types of search terms.

9. The apparatus according to claim 8, wherein the constructing module comprises:

a classifying unit configured to obtain child node information of each type, and classify the child node information according to different labels; and

an establishing unit configured to establish corresponding relations between each type and the labels contained therein, and between each label contained in each type and child node information belonging to a corresponding label, to construct the knowledge graph of each type.

10. The apparatus according to claim 9, wherein the classifying unit is configured to obtain the child node information of each type according to different fields with respect to different types.

11. The apparatus according to claim 9, wherein the constructing module further comprises:

a setting unit configured to set corresponding labels for different types respectively.

12. The apparatus according to claim 9, wherein information contained in the knowledge graph comprises labels under the types of the search terms and child node information belonging to corresponding labels.

13. A non-transitory computer readable storage medium, comprising a computer program configured to execute the following steps on one or more computing devices:

obtaining a search term input from a client device;

determining a type of the search term, and obtaining a knowledge graph corresponding to the type of the search term; and

transmitting the knowledge graph corresponding to the type of the search term to the client device, the information contained in the knowledge graph configured to be displayed by the client device in a structured form.