Performing A Search Based On Entity-Related Criteria

• US 20150294007A1
• Filed: 10/19/2012
• Published: 10/15/2015
• Est. Priority Date: 10/19/2012
• Status: Abandoned Application

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Ma, Yue, Wang, Min, Chen, Fei, Liu, Xitong, Fang, Hui, Qi, Ke-Ke, Huang, Xiao-Hui
• Application Number:
  US14/435,809
• Publication Number:
  US 20150294007A1
• 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 16/24578 using ranking
• CPC Class Codes: G06F 16/288 Entity relationship models
• CPC Class Codes: G06F 16/3334 Selection or weighting of terms from queries, including natural language queries
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/9532 Query formulation
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

A technique includes performing a search in response to a query that contains at least one entity term and at least one other term. The query targets a collection of structured data and unstructured data. The technique includes performing a search in the collection to find at least one document based at least in part on at least one entity mention indicated by the query.

Claims

1. A method comprising:

processing an unstructured query that contains at least one entity term and at least one term other than an entity term to identify at least one entity mention indicated by the query, the query targeting a collection of structured data and unstructured data; and

performing an entity-based search in the collection in response to the unstructured query to find at least one document, the search being based at least in part on one entity identified to be in the collection and related to the at least one entity mention.

2. The method of claim 1, wherein performing the search comprises:

for a given entity associated with the least one entity mention, identifying a ranked subset of entities of a plurality of entities identified to be in the collection; and

performing the search based at least in part on the ranked subset.

3. The method of claim 1, wherein the at least one entity mention is associated with a plurality of entities, the method further comprising:

performing the search based at least in part on at least one relationship between two entities of the plurality of entities.

4. The method of claim 1, the method further comprising:

performing the search based at least in part on at least one relationship between an entity associated with the at least one entity mention and the at least one entity identified to be in the collection.

5. The method of claim 1, wherein the at least one entity identified to be in the collection comprises at least one entity of the structured data and at least one entity of the unstructured data.

6. The method of claim 1, wherein performing the entity-based search further comprises basing the search on at least one entity relationship identified by content of an unstructured document of the collection.

7. An article comprising a non-transitory computer readable storage medium storing instructions that when executed by a computer cause the computer to:

access first information indicating at least one entity relationship within structured data of a collection of data;

access second information indicating at least one entity relationship identified by content of at least one unstructured document contained within unstructured data of the collection; and

in response to an unstructured query containing at least one entity term indicating at least one entity mention and at least one other non-entity term, perform a search in the collection to find at least one document based at least in part on the at least one entity mention, the first information and the second information.

8. The article of claim 7, the storage medium storing instructions that when executed by the computer cause the computer to:

for a given entity of the least one entity mention, identify a ranked subset of entities of a plurality of entities identified to be in the collection; and

perform the search based at least in part on the ranked subset.

9. The article of claim 7, wherein the at least one entity mention comprises a plurality of entity mentions, the storage medium storing instructions that when executed by the computer cause the computer to:

perform the search based at least in part on at least one relationship between two entities associated with the plurality of entity mentions.

10. The article of claim 7, the storage medium storing instructions that when executed by the computer cause the computer to:

perform the search based at least in part on at least one relationship between an entity associated with the at least one entity mention and at least one entity identified to be in the collection.

11. A system comprising:

a buffer to receive data indicative of an unstructured query that contains at least one entity term and at least one term other than an entity term, the query targeting a collection of structured data and unstructured data; and

a search engine comprising a processor to, in response to the query, perform an entity-based search in the collection to find at least one document, the search being based at least in part on at least one entity mention indicated by the query and at least one entity identified to be in the collection and related to the at least one entity mention.

12. The system of claim 11, wherein the processor is adapted to:

for a given entity associated with the least one entity mention, identify a ranked subset of entities of a plurality of entities identified to be in the collection; and

perform the search based at least in part on the ranked subset.

13. The system of claim 11, wherein the at least one entity mention is associated with a plurality of entities, the processor being adapted to:

perform the query based at least in part on at least one relationship between two entities of the plurality of entities.

14. The system of claim 11, wherein the processor is adapted to:

perform the query based at least in part on at least one relationship between an entity associated with the at least one entity mention and the at least one entity identified to be in the collection.

15. The system of claim 11, wherein the processor is adapted to:

receive the query; and

identify the at least one entity identified to be in the collection prior to receiving the query.