Computer search system for improved web page ranking and presentation

• US 20070038608A1
• Filed: 07/31/2006
• Published: 02/15/2007
• Est. Priority Date: 08/10/2005
• Status: Abandoned Application

• Current Assignee: Anjun Chen
• Original Assignee: Anjun Chen
• Inventors: Chen, Anjun
• Application Number:
  US11/496,227
• Publication Number:
  US 20070038608A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

An Internet search system integrates additional concept-related information into a regular web search engine, providing better page ranking and richer presentation of search results. The additional information is directly related to the contents of the retrieved web pages but does not appear on the retrieved web pages and/or in the link structure. The new search system searches a conventional web page collection together with databases containing publications and semantic web data, which provides the aforesaid additional information.

Claims

1. An Internet search system comprising:

a. a web crawler operable to retrieve a collection of web pages from an Internet;

b. a database comprising indexed collection of web pages;

c. a user interface operable to receive a search query;

d. a search module operable to search the database for web pages matching the search query and to retrieve the matching web pages from the database;

e. a ranking module operable to rank the retrieved matching web pages, and

f. a subsystem comprising;

i. a first module operable to identify concepts of the retrieved matching web pages;

ii. at least one data source comprising independent information not present in the retrieved matching web pages and in a link structure associated with the retrieved matching web pages;

iii. a second module operable to search the at least one data source for the identified concepts and to generate an additional concept-related information, wherein the ranking module ranks the retrieved matching web pages based on the additional concept-related information; and

iv. a presenter module operable to integrate the additional concept-related information with the retrieved matching web pages.

2. The Internet search system of claim 1, wherein the concepts of the retrieved matching web pages comprise at least one of a group consisting of:

organization names, keywords identified from the search query and keywords identified from the retrieved matching web pages.

3. The Internet search system of claim 1, wherein the at least one data source comprises:

a. a first database containing journal articles, industry publications, and government publications;

b. a second database containing semantic web data published in a semantic web language; and

c. a third database containing information parsed from at least one of the first database and the second database using text mining processing techniques, natural language processing techniques or semantic data parsers.

4. The Internet search system of claim 1, wherein the additional concept-related information comprises at least one of scores of matched publications, counts of matched publications, and comparative data parsed from the matched publications.

5. The internet search system of claim 1, wherein the ranking module is operable to rank pages based on the additional concept-related information or the additional concept-related information in combination with information on at least one of query frequency on the web page, query location on the web page, page metadata, inbound hyperlinks, outbound hyperlinks, and page usage data.

6. The Internet search system of claim 1, wherein the presenter module is operable to integrate at least one of two hyperlinks into the search result page for each of the retrieved matching web pages, a first hyperlink pointing to a list of matching publications and a second hyperlink pointing to a list of comparative data parsed from the matching publications.

7. An Internet search system comprising:

a. a web crawler operable to retrieve a collection of web pages from an Internet;

b. a database comprising indexed collection of web pages;

c. a user interface operable to receive a search query from a user;

d. a search module operable to search the database for web pages matching the search query and to retrieve the matching web pages from the database;

e. a ranking module operable to rank the retrieved matching web pages, and

f. a subsystem comprising;

i. a first module operable to identify concepts of the retrieved matching web pages;

ii. at least one data source comprising independent information not present in the retrieved matching web pages and in a link structure associated with the retrieved matching web pages;

iii. a second module operable to search the at least one data source for the identified concepts and to generate an additional product related information, wherein the ranking module ranks the retrieved matching web pages based on the additional product related information; and

iv. a presenter module operable to integrate the additional product related information with the list of retrieved web pages.

8. The Internet search system of claim 7, wherein the matching web page concepts comprise at least one of products and product categories described in the retrieved matching web pages.

9. The Internet search system of claim 7, wherein the matching web page concepts comprise at least one of organization names, keywords identified from the search query and keywords identified from the retrieved matching web pages.

10. The Internet search system of claim 7, wherein the data sources comprises at least one of a product database and a product usage database.

11. The Internet search system of claim 7, wherein the at least one data source comprises:

a. a first database containing journal articles, industry publications, and government publications;

b. a second database containing semantic web data published in a semantic web language; and

c. a third database containing information parsed from at least one of the first database and the second database using text mining processing techniques, natural language processing techniques or semantic data parsers.

12. The Internet search system of claim 7, wherein the additional product related information comprises at least one of scores of product usage, counts of product usage, scores of matched publications, and scores of comparative product information.

13. The internet search system of claim 7, wherein the ranking module is operable to rank pages based on the additional product related information or the additional product related information in combination with information on at least one of query frequency on the web page, query location on the web page, page metadata, inbound hyperlinks, outbound hyperlinks, and page usage data.

14. The Internet search system of claim 7, wherein the presenter module is operable to integrate at least one of three hyperlinks into the search result page for each of the retrieved matching web pages, a first hyperlink pointing to a list of matching publications, a second hyperlink pointing to a list of matching product usage publications, and a third hyperlink pointing to a list of comparative products parsed from the matching publications.

15. A process for a web search engine comprising:

a. creating a product usage database based on a collection of publications; and

b. utilizing the created product usage database to rank at least one of web pages, product providers, and products.

16. The process of claim 15, wherein creating the product usage database based on a collection of publications comprises parsing contents of the publications using at least one of text mining processing, natural language processing, and semantic data parsing to extract information on products that are used in each of the publications, and organizing the extracted information in at least one database that is ready to be searched by a search engine.

17. The process of claim 15, wherein the publications comprise at least one of journal articles, research papers, industry magazine articles, industry reports, government reports, and research information published as semantic web data published in a semantic web language.

18. The process of claim 15, wherein utilizing a product usage database comprises searching the product usage database for at least one of a product name, a product category, a keyword, a phrase and an organization name that is identified from each of the web pages to obtain at least one of a product usage score or a product usage count, and ranking the web pages according to the at least one of product usage score and product usage count.

19. The process of claim 15, wherein utilizing a product usage database comprises searching the product usage database for a query entered by a user and an organization name that is identified from each of the web pages to obtain at least one of a product usage score or a product usage count, and ranking the web pages according to the at least one of product usage score and product usage count.

20. The process of claim 15, wherein utilizing a product usage database comprises searching the product usage database for at least one of a product name, a product category and a query entered by a user to obtain a product comparison data, and ranking at least one of the products and the product providers according to the product comparison data.