Search and Search Optimization Using A Pattern Of A Location Identifier

• US 20170154118A1
• Filed: 02/10/2017
• Published: 06/01/2017
• Est. Priority Date: 04/15/2009
• Status: Abandoned Application

• Current Assignee: Fiver LLC
• Original Assignee: VCVC III LLC (Vulcan, Inc.)
• Inventors: Wissner, James M., Spivack, Nova
• Application Number:
  US15/430,388
• Publication Number:
  US 20170154118A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/2453 Query optimisation
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 2216/03 Data mining
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/30 Semantic analysis

Abstract

Systems and methods for search and search optimization using a pattern in a location identifier is disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of search and search optimization. The method includes, detecting a set of location identifiers that have a pattern that matches a specified pattern and identifying a set of search results as having content related to the semantic type. The specified pattern can be stored in a computer-readable storage medium and corresponds to a semantic type. The set of search results can include objects associated with the set of location identifiers having the specified pattern.

Claims

1. A method of search, the method comprising:

detecting a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;

wherein, the specified pattern corresponds to a semantic type;

identifying a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;

data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;

identifying a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determine via the data mining;

wherein, the set of URIs are identified from links of user-added content in a social network.

2. The method of claim 1, further comprising associating each of the set of type-determined web pages with an ontology defining the semantic type.

3. The method of claim 1, further comprising ranking each of the set of type-determined web pages based on the relevancy determined from the data mining.

4. The method of claim 1, wherein the semantic type is defined by an end user through tagging or annotating the type-determined web pages on a user interface.

5. The method of claim 1, wherein the pattern includes a domain name segment or a wildcard segment.

6. The method of claim 5, wherein the pattern further includes a semantic type segment.

7. The method of claim 5, wherein the pattern further includes an attributes segment.

8. The method of claim 1, further comprising presenting a type-determined web page that is hosted by a sponsoring domain as a search result that has a differentiating template.

9. A system for search, the comprising:

a process and memory, cooperating to function as;

a detecting unit configured to detect a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;

wherein, the specified pattern corresponds to a semantic type;

a first identifying unit configured to identify a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;

a mining unit configured to mine the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;

a second identifying unit configured to identify a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determine via the data mining;

wherein, the set of URIs are identified from links of user-added content in a social network.

10. A method performed by a search engine, the method comprising:

detecting a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;

wherein, the specified pattern corresponds to a semantic type;

wherein, the specified pattern includes a domain name segment or a wildcard segment, a semantic type segment, and an attributes segment,

wherein, the semantic type is associated with multiple attributes that are user-defined;

identifying a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;

data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;

identifying a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining.

11. The method of claim 10, where the multiple attributes are rated by users via a user interface.

12. The method of claim 10, wherein some of the multiple attributes are determined by a predefined ontology.

13. The method of claim 10, wherein the set of URIs are identified from links of user-added content in a social network.

14. The method of claim 10, wherein the set of URIs are identified from a sitemap.

15. The method of claim 10, wherein the semantic type is automatically determined.

16. The method of claim 10, further comprising identifying multiple patterns corresponding to the semantic type from the set of search results having content related to the semantic type.

17. The method of claim 10, wherein the specified pattern corresponds to an attribute of the semantic type.

18. The method of claim 17, wherein each of the type-determined web pages includes content that is associated with the attribute of the semantic type.

19. The method of claim 10, further comprising ranking each of the set of type-determined web pages based on the relevancy determined from the data mining.

20. A machine-readable storage medium having stored thereon instructions which when executed by a processor performs a method, the method comprising:

detecting a set of Universal Resource Identifiers (URIs) that match a specified pattern that is not a URI;

wherein, the specified pattern corresponds to a semantic type;

wherein, the specified pattern includes a domain name segment or a wildcard segment, a semantic type segment, and an attributes segment,

wherein, the semantic type is associated with multiple attributes that are user-defined;

identifying a set of search results as having content related to the semantic type from a set of type-determined web pages associated with the set of URIs having the specified pattern;

data mining the content of each of the set of type-determined web pages to further determine relevancy to the semantic type;

identifying a refined set of search results from the set of type-determined web pages based on the relevancy to the semantic type determined via the data mining.