SYSTEMS AND METHODS FOR ELECTRONIC SEARCHING OF AUTOMOTIVE PARTS DATABASE

• US 20070219982A1
• Filed: 10/05/2006
• Published: 09/20/2007
• Est. Priority Date: 10/05/2005
• Status: Abandoned Application

• Current Assignee: Pipex Communications
• Original Assignee: Pipex Communications
• Inventors: McNeeley, Jason, Brumley, David, Piper, James, Limbacher, Clark
• Application Number:
  US11/539,077
• Publication Number:
  US 20070219982A1
• 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 16/3332 Query translation
• CPC Class Codes: G06Q 30/0603 Catalogue ordering

Abstract

Systems and methods for preparing electronic searches are disclosed. In situations involving large number of items for many models of products, searches can be burdensome to the database. Moreover, variations in user skills can make many search requests inefficient and even meaningless. In one embodiment, search requests from users are prepared at a web server so as to form a more focused and meaningful search query for the database. Because such computing resource investments can be made at one or more servers, burden of heavy search loads can be distributed to the servers from the database. Various techniques for forming search queries can include translating abbreviations, nomenclatures, and misspellings. Moreover, use of standardized words allows for more efficient searches. In one embodiment, large number of automobile parts can be searched efficiently by prioritized matching of vehicle model information and part information from a search request in forming the search query.

Claims

1. A method for searching an electronic catalog for automobile parts, the method comprising:

receiving a search request having one or more terms that describe or attempt to describe an automobile part;

comparing said one or more terms with a standard vocabulary; and

identifying one or more matched words, each of said one or more matched words being a part of said standard vocabulary and corresponding to at least one of said one or more terms, such that said one or more matched words are used for conducting a search for information about said automobile part in an electronic database.

2. The method of claim 1, further comprising identifying one or more part descriptions that include at least some of said one or more matched words.

3. The method of claim 2, wherein each of said one or more part descriptions includes all of said one or more matched words.

4. The method of claim 2, wherein said standard vocabulary is formed based on words from said part descriptions.

5. The method of claim 1, wherein said comparing comprises translating abbreviations, alternate nomenclatures, and misspellings to corresponding words prior to comparison with said standard vocabulary.

6. The method of claim 1, wherein said comparing comprises performing a look-ahead on said one or more terms to identify terms that should be treated together as a single term.

7. The method of claim 1, wherein every word in said standard vocabulary is substantially unique so as to reduce likelihood of said one or more matched words having more than one of same word.

8. The method of claim 1, wherein said identifying of one or more matched words further comprises obtaining identity or possible identities of said automobile so as to further narrow said search for information about said automobile part.

9. A system for searching an electronic catalog for automobile parts, the system comprising:

a standard vocabulary component having a plurality of standardized words with respect to information in an electronic database about parts for automobiles; and

a processor configured so as to;

receive a search request having one or more terms that describe or attempt to describe an automobile part;

compare said one or more terms with said plurality of standardized words; and

identify one or more matched words, each of said one or more matched words being a part of said plurality of standardized words and corresponding to at least one of said one or more terms, such that said one or more matched words are used for conducting a search for information about said automobile part in said electronic database.

10. The system of claim 9, wherein said standard vocabulary component and said processor reside on a server that is separate from electronic database, such that search queries sent to said electronic database are standardized and narrowed at said server to thereby make said search for information more efficient.

11. The system of claim 10, further comprising a description component having a plurality of automobile-parts descriptions that include substantially all of said one or more matched words.

12. The system of claim 11, wherein said plurality of standardized words are based on words from said automobile-parts descriptions.

13. The system of claim 12, wherein every one of said plurality of standardized words is substantially unique so as to reduce likelihood of said one or more matched words having more than one of same word.

14. The system of claim 11, further comprising an editor component configured so as to allow an editor to view taxonomical structure of selected one or more words found in said plurality of automobile-parts descriptions.

15. The system of claim 10, further comprising a translation component having common abbreviations, alternate nomenclatures, and misspellings so as to allow translations of said one or more terms.

16. The system of claim 10, wherein said standard vocabulary component comprises a first vocabulary for identifying models of automobiles, and a second vocabulary for identifying parts for automobiles.

17. The system of claim 16, wherein said first and second vocabularies are separate vocabularies.

18. The system of claim 17, wherein said first and second vocabularies reside in a local memory of a same server.

19. The system of claim 16, wherein said processor performs said identification separately for said automobile part and for the model corresponding to said automobile part.

20. A method for searching an electronic catalog for parts that depend on models of products, the method comprising:

receiving a search request having one or more terms that describe a model of a product and a part for said product;

determining which of said one or more terms are for describing said model, and which are for describing said part;

identifying one or more standardized words based on said model-terms;

identifying one or more standardized words based on said part-terms;

forming a search query based on said one or more standardized model-words and said one or more standardized part-words; and

transmitting said search query to an electronic database for conducting a search for information about said part for said product.

21. The method of claim 20, wherein said product comprises an automobile.

22. A system for searching an electronic catalog for parts that depend on models of products, the system comprising:

a first standard vocabulary having words for identifying product models;

a second standard vocabulary having words for identifying product parts;

a processor configured so as to;

receive a search request having one or more terms that describe a model of a product and a part for said product;

determine which of said one or more terms are for describing said model, and which are for describing said part;

identify one or more standardized words based on said model-terms;

identify one or more standardized words based on said part-terms;

form a search query based on said one or more standardized model-words and said one or more standardized part-words; and

transmit said search query to an electronic database for conducting a search for information about said part for said product.

23. The system of claim 22, wherein said product comprises an automobile.

24. An apparatus, comprising:

means for receiving a search request having one or more terms that describe or attempt to describe an automobile part;

means for comparing said one or more terms with a standard vocabulary; and

means for identifying one or more matched words, each of said one or more matched words being a part of said standard vocabulary and corresponding to at least one of said one or more terms, such that said one or more matched words are used for conducting a search for information about said automobile part in an electronic database.

25. An apparatus, comprising:

means for receiving a search request having one or more terms that describe a model of a product and a part for said product;

means for determining which of said one or more terms are for describing said model, and which are for describing said part;

means for identifying one or more standardized words based on said model-terms;

means for identifying one or more standardized words based on said part-terms;

means for forming a search query based on said one or more standardized model-words and said one or more standardized part-words; and

means for transmitting said search query to an electronic database for conducting a search for information about said part for said product.

26. A method for searching an electronic database for possible applications of automobile parts, the method comprising:

receiving a search request from a user;

forming a search query, said search query including a model identifier and one or more part identifiers;

determining possible applications by forming combinations of said one or more part identifiers with one or more attributes of said model identifier; and

providing said possible applications to said user.

27. The method of claim 26, wherein said possible applications includes at least one attribute that is not specified by said user.

28. A method for configuring a database server for an automobile parts catalog, the method comprising:

providing a list of identifiers for automobile parts;

providing a list of identifiers for attributes of automobile models;

forming an index of selected combinations of said identifiers for parts and attributes; and

providing said index on said database server so that said index provides addresses of database entries corresponding to said identifiers for parts or attributes.

29. The method of claim 28, wherein said selected combinations are determined based on a likelihood of a search for said parts or attributes.

30. The method of claim 28, wherein said selected combinations are formed by excluding redundancies of combinations of said parts and attributes.