Search and Search Optimization Using A Pattern Of A Location Identifier

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.

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.