SUGGESTING CONCEPT-BASED TOP-LEVEL DOMAIN NAMES

• US 20090248735A1
• Filed: 03/26/2008
• Published: 10/01/2009
• Est. Priority Date: 03/26/2008
• Status: Active Grant

• Current Assignee: Go Daddy Operating Company LLC (GoDaddy, Inc.)
• Original Assignee: Go Daddy Group Incorporated (GoDaddy, Inc.)
• Inventors: Adelman, Warren, Jallo, Matthew, Fitzpatrick, Shawn
• Granted Patent: US 8,069,187 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]

Abstract

Methods and systems of the present invention allow for displaying suggested concept-based results. An exemplary method may comprise the steps of receiving a combination domain name and top level domain (TLD), determining from ontological calculations suggested TLDs related to the concept of the combination and displaying the suggested combination of the domain name with suggested TLDs.

Claims

1. A method comprising the steps of:

receiving a Combination of a Domain Name and a Top Level Domain (TLD), and if the Combination is not available;

A. establishing from the Domain Name an instance of an individual concept related to the Domain Name;

B. identifying a class of concepts wherein one or more attributes of the class of concepts are related to one or more attributes of the individual concept;

C. establishing a plurality of relationships between the individual concept and each of the concepts within the class of concepts;

D. calculating a plurality of Suggested TLDs based on the concepts within the class of concepts most closely related to the individual concept; and

E. displaying one or more Combinations of the Domain Name with the plurality of Suggested TLDs.

2. The method of claim 1 wherein the relationships of step C are not based solely on one or more synonyms of the one or more Domain Names.

3. The method of claim 1 wherein the relationships of step C are established based on Cluster Analysis.

4. The method of claim 3 wherein the Cluster Analysis further comprises a Clustering Algorithm.

5. The method of claim 3 wherein the Cluster Analysis further comprises a Fuzzy Cluster Analysis.

6. The method of claim 3 wherein the Cluster Analysis further comprises Quality Threshold Clustering.

7. The method of claim 3 wherein the Cluster Analysis further comprises Conceptual Clustering.

8. A system comprising:

means for receiving a Combination of a Domain Name and a TLD, and if the combination is not available, further comprising;

A. means for establishing from the Domain Name an instance of an individual concept related to the Domain Name;

B. means for identifying a class of concepts wherein one or more attributes of the class of concepts are related to one or more attributes of the individual concept;

C. means for establishing a plurality of relationships between the individual concept and each of the concepts within the class of concepts;

D. means for calculating a plurality of Suggested TLDs based on the concepts within the class of concepts most closely related to the individual concept; and

E. means for displaying one or more Combinations of the Domain Name with the plurality of Suggested TLDs.

9. The system of claim 8 wherein the relationships of element C are not based solely on one or more synonyms of the one or more Domain Names.

10. The system of claim 8 wherein the relationships of element C are established based on Cluster Analysis.

11. The system of claim 10 wherein the Cluster Analysis further comprises a Clustering Algorithm.

12. The system of claim 10 wherein the Cluster Analysis further comprises a Fuzzy Cluster Analysis.

13. The system of claim 10 wherein the Cluster Analysis further comprises Quality Threshold Clustering.

14. The system of claim 10 wherein the Cluster Analysis further comprises Conceptual Clustering.

15. The system of claim 8 further comprising a Network, an Input Knowledge Agent, a Results Engine, an Ontology Language, a Clustering Algorithm, a Database, an Output Knowledge Agent or any combination thereof.