Systems, methods and computer readable media for performing a domain-specific metasearch, and visualizing search results therefrom

• US 20050278321A1
• Filed: 06/24/2005
• Published: 12/15/2005
• Est. Priority Date: 05/09/2001
• Status: Active Grant

• Current Assignee: Agilent Technologies, Inc.
• Original Assignee: Agilent Technologies, Inc.
• Inventors: Vailaya, Aditya, Kincaid, Robert H., Kuchinsky, Allan J.
• Granted Patent: US 7,519,605 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface

Abstract

Systems, methods and computer readable media for performing a domain-specific metasearch, and obtaining search results therefrom. A metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines is provided to receive one or more queries inputted by a user, and to search for documents on at least one the generic, web-based search engines and domain-relevant search engines which are relevant to the queries. Raw data search results are fetched in the form of text documents. Relevant data including semantic information are extracted from the raw data search results, and converted to a local format. The relevant data having been converted to the local format may be visualized as a network visualization. Additionally or alternatively, the raw data search results may be ranked and/or filtered based on the linking of the relevant data. Visualization of the raw data having been ranked and/or filtered may be performed in addition to, or alternative to visualization of the network.

Claims

1. A method of performing a domain-specific metasearch, and obtaining search results therefrom, said method comprising the steps of:

providing a metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines;

receiving one or more queries inputted by a user to the metasearch engine and searching for documents on at least one of said generic, web-based search engines and domain-relevant search engines which are relevant to the queries;

fetching raw data search results in the form of text documents from each of said at least one of said generic, web-based search engines and domain-relevant search engines;

extracting relevant data including semantic information from the raw data search results;

converting the relevant data, including the semantic information, to a local format; and

visualizing the relevant data having been converted to the local format as a network visualization.

2. The method of claim 1, wherein said visualizing is performed on a user interface.

3. The method of claim 2, further comprising displaying the raw data on the user interface while said extracting and converting are being carried out.

4. The method of claim 1, wherein said extracting, converting and visualizing are performed automatically without user interaction.

5. The method of claim 1, further comprising disambiguating relationships in the relevant data by user interaction.

6. The method of claim 1, wherein said extracting is based at least in part on a predefined user context.

7. The method of claim 1, wherein said searching is performed on a selected set of said generic, web-based search engines and domain-relevant search engines.

8. The method of claim 1. wherein said domain-specific metasearch is directed to a life sciences domain.

9. The method of claim 1, wherein the network visualization is made up only of relevant data having been converted to the local format that has been selected by the user.

10. The method of claim 1, wherein said extracting and converting are performed only on data having been selected by the user.

11. A system for performing a domain-specific metasearch, and obtaining search results therefrom, said system comprising:

a metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines, wherein upon receiving one or more queries inputted by a user, said metasearch engine searches for documents on at least one of said generic, web-based search engines and domain-relevant search engines which are relevant to the queries, and fetches raw data search results in the form of text documents from each of said at least one of said generic, web-based search engines and domain-relevant search engines;

a local format module configured to extract relevant data including semantic information from the raw data search results and convert the relevant data, including the semantic information, to a local format; and

a user interface configured to visualize the relevant data having been converted to the local format as a network visualization.

12. The system of claim 11, further comprising a data mining module configured to extract relevant data from the raw data search results and calculate additional statistical characterizations of at least one of the extracted relevant data and documents from which the relevant data was extracted.

13. The system of claim 11, wherein said user interface comprises means for user disambiguation of relationships in the relevant data.

14. The system of claim 11, further comprising a predefined user context, wherein said extracting is based at least in part on said predefined user context.

15. The system of claim 11, wherein said metasearch engine is configured for domain-specific metasearching directed to a life sciences domain.

16. A method of performing a domain-specific metasearch, and obtaining search results therefrom, said method comprising the steps of:

providing a metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines;

receiving one or more queries inputted by a user to the metasearch engine and searching for documents on a selected set of said generic, web-based search engines and domain-relevant search engines which are relevant to the queries;

fetching raw data search results in the form of text documents from each member of the selected set;

extracting relevant data including semantic information from the raw data search results;

converting the relevant data including semantic information from raw results to a local format;

linking the relevant data in the local format with a pre-existing, locally formatted data set which matches the relevant data;

at least one of ranking and filtering the raw data search results based on said linking the relevant data; and

visualizing the raw data having been ranked and/or filtered.

17. The method of claim 16, wherein said visualizing is performed on a user interface.

18. The method of claim 16, further comprising displaying the raw data on a user interface while said extracting and converting are being carried out.

19. A method of performing a domain-specific metasearch, and obtaining search results therefrom, said method comprising the steps of:

providing a metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines;

receiving one or more queries inputted by a user to the metasearch engine and searching for documents on a selected set of said generic, web-based search engines and domain-relevant search engines which are relevant to the queries;

fetching raw data search results in the form of text documents from each member of the selected set;

extracting relevant data including semantic information from the raw data search results;

converting the relevant data including semantic information from raw results to a local format;

linking the relevant data in the local format with a pre-existing, locally formatted data set which matches the relevant data; and

visualizing the linked relevant data and pre-existing, locally formatted data that matches, as a network visualization.

20. The method of claim 19, further comprising ranking the raw data based on links set up by said linking.

21. The method of claim 20, further comprising visualizing results of said ranking in a user interface.

22. The method of claim 20, further comprising comparing said relevant data to the data in said pre-existing, locally formatted data set, based on links set up by said linking.

23. A computer readable medium carrying one or more sequences of instructions for performing a domain-specific metasearch, and obtaining search results therefrom, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:

receiving one or more queries inputted by a user to a metasearch engine and searching for documents on at least one of a generic, web-based search engine and a domain-relevant search engine which are relevant to the queries;

fetching raw data search results in the form of text documents from each of said at least one of said generic, web-based search engines and domain-relevant search engines;

extracting relevant data including semantic information from the raw data search results;

converting the relevant data, including the semantic information, to a local format; and

visualizing the relevant data having been converted to the local format as a network visualization.

24. A computer readable medium carrying one or more sequences of instructions for performing a domain-specific metasearch, and obtaining search results therefrom, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:

receiving one or more queries inputted by a user to a metasearch engine and searching for documents on a selected set of generic, web-based search engines and domain-relevant search engines which are relevant to the queries;

fetching raw data search results in the form of text documents from each member of the selected set;

extracting relevant data including semantic information from the raw data search results;

converting the relevant data including semantic information from raw results to a local format;

linking the relevant data in the local format with a pre-existing, locally formatted data set which matches the relevant data; and

visualizing the linked relevant data and pre-existing, locally formatted data that matches, as a network visualization.

25. A computer readable medium carrying one or more sequences of instructions for performing a domain-specific metasearch, and obtaining search results therefrom, wherein execution of one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of:

providing a metasearch engine capable of accessing generic, web-based search engines and domain-relevant search engines;

receiving one or more queries inputted by a user to the metasearch engine and searching for documents on a selected set of said generic, web-based search engines and domain-relevant search engines which are relevant to the queries;

fetching raw data search results in the form of text documents from each member of the selected set;

extracting relevant data including semantic information from the raw data search results;

converting the relevant data including semantic information from raw results to a local format;

linking the relevant data in the local format with a pre-existing, locally formatted data set which matches the relevant data;

at least one of ranking and filtering the raw data search results based on said linking the relevant data; and

visualizing the raw data having been ranked and/or filtered.